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1Z1-450 exam Dumps Source : Oracle Application Express 3.2-(R) Developing Web Applications

Test Code : 1Z1-450
Test title : Oracle Application Express 3.2-(R) Developing Web Applications
Vendor title : Oracle
: 49 actual Questions

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Oracle Oracle Application Express 3.2-(R)

Oracle publicizes familiar Availability of Oracle utility categorical unlock three.2 | killexams.com actual Questions and Pass4sure dumps

Mar four, 2009

Oracle has introduced widely wide-spread availability of the latest unlock of Oracle application express, a free, rapid web utility construction device for Oracle Databases. liberate 3.2 of Oracle utility categorical introduces the Oracle varieties Conversion, a major modern feature to assist builders convert Oracle kinds-based purposes into HTML purposes operating within an Oracle Database. utility express release three.2 too introduces many protection enhancements.

Oracle kinds Conversion automatically converts most consumer interface accessories and provides monitoring capabilities to devise for and parade screen the manual implementation of company common sense publish-technology. once Oracle varieties source files are transformed into XML, they're loaded into an Oracle utility express conversion project. developers can then specify which person interface components to generate, annotate everything components, and bear an preparatory design.

changing Oracle kinds-primarily based purposes to Oracle application categorical permits developers to exploit Oracle software categorical's HTML templating capabilities, declarative shimmer charting, and internet 2.0 style interactive reporting accessories; pilfer capabilities of Oracle software express's swift construction capabilities for brief amendment or enhancement of functions; and, prick developer re-practicing requirements as both Oracle application specific and Oracle varieties utilize SQL and PL/SQL.

software conversion is hardly ever an simple project, but with the modern release, the conversion of Oracle varieties purposes to indigenous HTML is simplified and structured. "it is difficult to convert from one technology to a different, so they now delight in simplified that with utility express 3.2 by pass of proposing an automated device that may automate fraction of the project, and then back you on the manual conversion project," Mike Hichwa, vice president of utility development, Oracle, tells 5 Minute Briefing. according to Hichwa, changing from Oracle types is a venture the station simplest one of the most existing performance will too exist automatically generated. consequently, he notes, a detailed monitoring gadget in utility categorical three.2 gives capabilities to back with mission management.

The different essential purpose with this liberate become to give capabilities to obtain it more straightforward for builders and directors to acclimate the safety of their purposes and the construction atmosphere. With this unencumber of software categorical, Hichwa notes, Oracle has station massive pains into proposing key safety functionality out of the container. safety enhancements in 3.2 consist of declarative authentication timeouts by using session length and idle time; reduced privilege of Oracle software categorical schema; declarative session status encryption; and, better documentation on how to obtain the most of the safety features.

Oracle utility specific supports pre-built applications attainable for down load from the Oracle know-how network (OTN). These free, completely purposeful Oracle utility specific functions similar to Asset supervisor, consumer Tracker, and Timesheets, can too exist customized, deployed and shared within an organization enabling builders to jumpstart essential net utility pile efforts. Oracle utility categorical is built-in with everything variations of Oracle Database 11g.

the modern unlock is available for download from the Oracle know-how community.


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AI and ML newest news: NewRelic acquires startup SignifAI to carry 'applied intelligence' to DevOps | killexams.com actual Questions and Pass4sure dumps

NewRelic, the cloud-based mostly utility analytics firm, has introduced desktop studying to its armoury within the shape of SignifAI, an Israeli-US startup focused on adventure intelligence - or sorting signal from pandemonium within the quick-moving realm of DevOps.

SignifAI, according to its white paper, is a 'SaaS-based correlation engine that leverages AI and machine gaining information of to damage down the records silos present in complicated commercial enterprise IT environments.'

It integrates by the use of APIs to round 60 favourite monitoring and collaboration tools together with Splunk, AppDynamics, Slack, AWS, Nagios - and NewRelic itself - and promises to aid developers determine the basis intuition behind blunders via sifting through routine, logs, time-sequence facts and infrastructure indicators, rating and outputting probably the most possibly reasons to a consumer console or throughout the monitoring device. clients can additionally instruct the model to extend the accuracy of the correlations.

AIOps is a comparatively modern addition to the blizzard of AI and DevOps-related phrases. It refers back to the use of computer gaining information of to analyse statistics accrued from a variety of IT operations apparatus and contraptions in order to spot and react to concerns in precise time.

within the enterprise's weblog, NewRelic's chief product officer Jim Gochee comes down in favour of  the time term ‘utilized intelligence' to narrate the software of laptop researching to the software development procedure.

"We determined to use the time term 'applied Intelligence' to explicate their philosophy and strategy to bringing artificial intelligence (AI) / laptop studying (ML) to their house. They chose 'applied Intelligence' to remind ourselves to normally reflect on the particular person words and their meanings, with the flat of protecting us not off course to deliver definitely meaningful consumer cost with their AI efforts," he writes.

04/02/2019 Heathrow trials AI gadget for touchdown planes in infamous climate

In unhealthy weather, visibility from Heathrow's 87-metre tall manage tower can too exist enormously decreased as low clouds obscure the views of the runways beneath.

When this occurs, air traffic controllers exigency to count on radar to ensure that a airplane that has just landed has cleared the runway, and a margin of oversight should exist inbuilt for security. This reasons delays and backlogs and a 20 per cent loss of touchdown means, according to Airport World.

this is a local the station AI - together with ultra HD 4K cameras - can aid, believes air site visitors manage provider NATS. The enterprise has begun a tribulation the use of 20 such cameras installed within the tower together with a laptop getting to know gadget known as Aimee which has been developed by using Canadian dealer Searidge applied sciences. a similar tribulation is underway at Singapore's Changi Airport.

as soon as informed, Aimee should still exist capable of song the plane from the time they land except they are transparent of the runway, even when the cameras' photographs are complicated to interpret by means of the human eye. it will then alert the air site visitors controller who will obtain the remaining determination on whether to transparent the next arriving flight for touchdown. As such, Aimee is awfully a lot an aid to human determination making instead of being an self sustaining control equipment. 

The behaviour of fifty,000 arriving plane could exist studied over the next 12 months to glance how the system responds to precise-world situations.

AI is probably going to play an increasingly crucial position within the management of air site visitors in the future, together with for Heathrow's planned third runway, noted Heathrow's operations director, Kathryn Leahy.

"we are going to exist maintaining an in depth eye on this trial, because the know-how could delight in an immense position as they station together for the increased airport. they are able to watch how AI and digital towers can exist used to computer screen everything three of the improved airport's runways in future," she pointed out.

The outcomes of the tribulation may exist presented to exist offered to the uk Civil Aviation Authority subsequent March.

28/01/2019 Amazon open-sources its SageMaker Neo machine gaining information of optimisation utility

Raspberry Pi Zero

Amazon has open-sourced SageMaker Neo, its software for practising desktop gaining information of models and optimising the pass they accelerate on different types of instruments.

SageMaker Neo is designed to obtain unavoidable that ML fashions accelerate as successfully as viable on a all lot of machines and environments. in contrast to the working towards stage, wherein fashions are frequently honed on excessive-powered machines, for the inference stage, where the model makes predictions in keeping with modern information, it could exist operating on plenty lowlier gadgets.

The atmosphere can delight in a huge repercussion on the term of time it takes for a model to deduce a result and on the number of such calculations that will too exist accelerate in parallel. On area devices in the IoT - a sole board desktop love a Raspberry Pi for instance - latency and restrained concurrency will too exist ascetic impediments. ML models are removed from device-agnostic.

Most contraptions can too exist optimised to accelerate up the inference procedure, but this frequently comprises a unbiased diminutive bit of manual tinkering and tribulation and error. The long-established SageMaker became a mannequin training framework, however SageMaker Neo, delivered ultimate November, combines that with an optimisation stage, taking the utterly educated model and generating an executable it's unavoidable to the target apparatus - exist that a GPU or a Pi.

"Amazon SageMaker Neo immediately optimises desktop gaining information of models to operate at as much as twice the pace and not using a loss in accuracy. You delivery with a laptop gaining information of mannequin developed the usage of MXNet, TensorFlow, PyTorch, or XGBoost and trained using Amazon SageMaker. you then select your goal hardware platform from Intel, Nvidia, or Arm. With a sole click, SageMaker Neo will then bring together the expert mannequin into an executable," the enterprise says on its site, adding that the compiler uses neural networking concepts to analyse the target platform in order that optimisations will too exist utilized.

The Neo-AI assignment is obtainable on Github beneath the Apache software License, permitting developers to tailor the code to suit their own needs.

other cloud companies, including Microsoft and Google, are additionally engaged on applying AI to the ‘intelligent aspect'.

07/01/2019 Huawei announces 'optimum performance ARM-primarily based CPU' aimed at AI workloads

Huawei has introduced what it claims is the world's top-rated performing ARM-based processor.

Unveiled on Sunday, the Kunpeng 920 is intention-built for AI workloads that involve processing colossal volumes of data utilising disbursed storage.

In SPECint benchmarking exams, the Kunpeng 920 scored greater than 930, or virtually 25 per cent better than the industry benchmark, whereas using 30 per cent less energy than rivals, Huawei claims.

The Huawei-designed processor is manufactured on a 7-nanometer technique in line with the ARM structure. It has sixty four cores with clock velocity 2.6GHz and eight-channel DDR4 reminiscence.

The greater performance is essentially because of optimised branch prediction algorithms and an improved number of OP instruments, together with an more advantageous recollection subsystem structure, in accordance with the enterprise.

"nowadays, with Kunpeng 920, they are getting into an era of assorted computing embodied via dissimilar cores and heterogeneity. Huawei has invested patiently and intensively in computing innovation to normally obtain breakthroughs. they can toil with their clients and companions to construct a totally connected, perspicacious world," talked about William Xu, Huawei's chief approach advertising and marketing officer.

Huawei too introduced three modern servers in its TaiShan latitude that may exist powered through Kunpeng 920 processors. These are aimed toward company records centres for massive statistics initiatives requiring lofty concurrency and low power consumption.

The Kunpeng 920 announcement follows sizzling on the heels of the AI-concentrated Ascend AI IP and chip sequence unveiled in October (see earlier during this blog).

With its emphasis on in-condominium design, Huawei is fitting much less reliant on non-chinese language chipset suppliers equivalent to Intel, Qualcomm, AMD and Nvidia.

The enterprise has been enmeshed in controversy in fresh months, with a pair of nations banning its items in their networking infrastructure, claiming they're a protection chance.

The enterprise has proximate connections to the chinese executive whose ‘Made in China 2025' strategy objectives ten superior technology areas together with AI, robotics, renewable energy and biotechnology. the us has claimed this approach is a "precise existential probability to US technological leadership".

02/01/2019 Researchers use machine learning to diagnose dyslexia

Robot AI reading

A pair of researchers delight in accomplished promising results from a computing device getting to know resolve of dyslexia amongst faculty children, diagnosing the circumstance correctly in eighty per cent of circumstances with null human intervention

Alex Frid and Larry Manevitz from the institution of Haifa, Israel, ran a sequence of assessments on 32 faculty toddlers, 17 of whom had in the past been diaganosed with dyslexia. The infants carried out a Lexical resolution project (LDT) by which they had been requested to elect whether strings of letters appearing on a monitor delight in been meaningful or no longer.

during this project, the eye movements of subjects delight in been monitored and on the equal time electrical undertaking in diverse areas of the mind turned into recorded using electrodes placed on the scalp.

After a preprocessing stage, the researchers used the ReleifF to extract meaningful points from the results in an try to classify the consequences. Many efficient points delight in been truly establish out in areas of the signal historically considered as noise.

by pass of practising their ML algorithm the usage of the 60 ‘gold standard' points extracted from the outcomes, the researchers delight in been able to diagnose dyslexia with a seventy nine per cent success cost; the usage of simply the ten most excellent facets, a hit fee of 70 per cent changed into nonetheless carried out.

although, the purpose changed into not just to use ML for prognosis.

One credit of the explanation for dyslexia, which impacts an estimated ten per cent of the inhabitants, is that the diverse constituents of the brain concerned in decoding written texts operate asynchronously, so indicators can arrive within the wrong order. The more advantageous the asynchrony, the more complicated analyzing may exist for the subject.

The ultimate inequity between the dyslexic and different readers changed into followed in activity in the left hemisphere of the mind, particularly the left temporal node which has long been notion to exist crucial within the process of decoding the written notice.

The paper is published by using arxiv.org

19/12/2018 european knowledgeable neighborhood attracts up draft AI ethics guidlines, seeks comments

the ecu fee's high-stage expert community on artificial Intelligence (AI HLEG) has released draft ethics instructions on devoted AI. The 37-page document covers proposals to obtain unavoidable AI is always human-centric and deployed with "an ethical flat ground in". It contains discussions round limiting color and maximising inclusiveness, in addition to ensuring that AI is tenacious in design and implementation so that it doesn't antecedent unintentional harm.

AI HLEG boils down the core necessities for trustworthy AI into ten wide areas: Accountability; information governance; Design for all; Governance of AI autonomy (human oversight); Non-discrimination; recognize for (and enhancement of) human autonomy; admire for privateness; Robustness; defense; and Transparency.

It appears at every of these topics from technical and non-technical standpoints as a pass to growing counsel on how every may exist ensured.

"trustworthy AI has two components: (1) it's going to admire basic rights, applicable law, and core ideas,guaranteeing 'ethical intention'; and (2) it is going to exist technically robust and reputable," the document notes in its conclusion.

"besides the fact that children, even with the best of intentions, using AI may conclude up in unintentional hurt. therefore ... AI HLEG has developed a framework to in reality implement devoted AI, offering concrete information on its fulfillment."

The group is looking for comments on its draft proposals before 18 January. In March a ultimate edition might exist offered to the fee.

10/12/2018 Pharma colossal Merck in deal to obtain use of AI for drug discovery

using AI in drug discovery - identifying promising molecules and trying out their suitability using models rather than patients - has been a focus of the pharmaceutical business for some time. customarily medication require years (and an incredible amount of cash) to movement from the lab into production.

in the newest movement, pharmaceutical gigantic Merck is to licence an AI-based drug screening platform from Canadian biotechnology enterprise Cyclica as a fraction of a year-long trial.

Cyclica's Ligand categorical is a drug screening device which Cyclica says is a "cloud-based mostly platform that screens small-molecule medicine towards repositories of structurally-characterized proteins or ‘proteomes' to assess polypharmacological profiles."

with the aid of knowing how a small-molecule drug will engage with everything proteins within the body, scientists can prioritise candidate molecules for medicine, knowing feasible aspect outcomes, and determine genetic diversifications which might affect the binding of the proposed drug to the goal protein. another use is investigating modern uses for current medicine.

Small-molecule medication usually goal selected proteins linked to disorder, but once within the build they may additionally bind to other proteins too, and the facet outcomes are difficult to augur within the lab, resulting in lengthy R&D and tribulation approaches. but AI-based strategies can back construct a plenary photograph of the probably interactions of a selected molecule.

Friedrich Rippmann, Computational Chemistry & Biology director at Merck observed the purpose is to determine promising molecules and test them as immediately as feasible.

"Assessing modern technologies is captious to how they can strengthen their discovery programmes, and synthetic intelligence applications love Ligand categorical will provide vital insights to enhance how they feel about goal identification to back phenotypic screening and off-goal profiling in general," Rippman stated.

"synthetic intelligence has the vigour to obtain the up to now unattainable a fact - we're desperate to harness these modern possibilities to aid compel the discoveries that can transform the lives of americans plagued by complicated-to-deal with diseases," introduced Belén Garijo, member of the executive board and CEO Healthcare at Merck.

07/12/2018 AI cracks textual content-based captchas

A crew of computer scientists has developed a modern computing device gaining information of software that can crack the text-based mostly captchas nevertheless used by pass of many web sites to proffer protection to towards bots in a fraction of a 2d.

The application turned into developed via scientists from Lancaster tuition in the UK, Northwest institution within the US and Peking college in China. It makes use of abysmal getting to know ideas and its makers declare a lots better success rate in comparison to other captcha assault methods.

It uses Generative Adversarial community (GAN) to decode the captchas, developing artificial captchas that are used to coach the groundwork solver algorithm. here's then great-tuned the usage of a smaller set of actual captchas. this saves time and effort, with simply 500 precise captchas required to train the assault programme.

In checks on 33 captcha schemes, some used by pass of the likes of Wikipedia, Google, eBay and Microsoft, the application became able to decipher a captcha within 0.05 seconds when accelerate on desktop pics processing unit (GPU).

It turned into too able to sidestep advanced protection aspects and demostrated a exorbitant flat of accuracy.

"It allows for an adversary to launch an assault on services, similar to Denial of provider assaults or spending spam or phishing messages, to pilfer own data or even forge consumer identities," spoke of Guixin Ye, a researcher on the assignment, which become presented on the ACM conference on laptop and Communications security (CCS) 2018 in Toronto.

"Given the exorbitant success rate of their approach for most of the textual content captcha schemes, websites should still exist abandoning captchas."

14/11/2018 facebook, Google and Twitter use AI to music illegal drug dealing

all over his rather feeble 'grilling' by pass of US Congress over Cambridge Analytica and different themes concerning the delight in an repercussion on of his sociable networks, one query that did elicit a (highly) direct response from result Zuckerberg changed into the illegal sale of drugs on fb and Instagram - presumably as a result of he could use his commonly used inventory confess of throwing some more AI at the problem.

The opioid crisis is a uncooked concern in the US: seventy two,000 americans died from overdoses in 2017 by myself.

Now fb has observed it is actively using AI to tune down purchasers, coordinating its efforts with consultants together with forensic labs and local and countrywide establishments. Google and Twitter are additionally worried in the collaboration.

fb's vp of US public policy Kevin Martin laid out the enterprise's thinking in a blog submit.

"We exigency to obtain a must-have materials for treatment more convenient to locate. When americans search for counsel about opioids on fb and Instagram, they direct them to SAMSHA's [Substance ill-treat and Mental Health Services Administration] country wide Helpline assistance page and other supplies at no cost and confidential treatment and schooling," he spoke of.

"we now delight in additionally begun to roll out proactive detection on facebook and Instagram to pilfer down greater content material that violates their policies earlier than people may additionally behold or file it. Their expertise is in a position to ascertain content material that comprises pictures of medicine and depicts the intent to promote with tips similar to rate, cell numbers or usernames for other sociable media bills.

"via catching greater posts automatically, this know-how allows for their crew to obtain use of their competencies as a substitute to examine money owed, Pages, corporations and hashtags, as well as toil with experts to spot the subsequent developments."

Susan Molinari, vice chairman for public policy at Google, said that fifty,000 searches about unavoidable opioid medicine delight in been made everyday on the search engine. 

"We comprehend overwhelmingly the people who are searching for back are the parents or members of the family of opioid clients, so they understand that if they will shove them towards companies just love the Partnership for Drug-Free children, then we're getting them immediate connections," Molinari pointed out.

The efforts to date are everything about blocking off content and nudging users against getting aid in preference to reporting transgressors to law enforcement.

24/10/2018 Oracle acquires AI enterprise-intelligence company DataFox

Oracle has bought DataFox, a SaaS AI solid that crunches gigantic volumes of information on public and private groups and feeds the results into an AI engine to create business-intelligence that valued clientele can add to their CRM.

The San Francisco-based mostly startup acquired preparatory funding from Google Ventures in 2014 and counts Bain Capital, NetApp and Goldman Sachs amongst its valued clientele. Co-founder and CEO Bastiaan Janmaat turned into a extend equity analyst at Goldman Sachs before founding the firm, and the funding bank has a stake in DataFox.

In a epistle to DataFox customers and companions, Steve Miranda, executive VP applications pile at Oracle, stated: "The mixture of Oracle and DataFox will extend Oracle Cloud purposes with an in depth set of AI-derived business-degree information and alerts, enabling purchasers to attain even enhanced selections and business outcomes."

DataFox pulls suggestions on hundreds of thousands of organizations from diverse sources together with information articles, digital homes and 'pleasing signals' and analyses them to supply true-time information on when a company's fortunes may exist about to exchange. Oracle says it plans to "enrich" its cloud functions corresponding to ERP, CX, HCM and SCM with "AI-pushed business-stage data". possibly the credit is to pilfer a march on cloud compeition from the likes of Salesforce.

phrases of the acquisition delight in not been disclosed.

19/10/2018 UK supermarkets to tribulation AI checkouts for age-verification

Facial attention know-how is to exist trialled via UK supermarkets for age verification purposes, with a pair of as-yet-unidentified stores rolling out the scanning tech at self-carrier checkouts this 12 months and greater largely in 2019.

The rollout is being led by means of US supplier NCR, which makes self-carrier checkout machines for Tesco and Asda among others. The company will integrate an 'AI-powered digicam' (whatever thing that may well be) into the checkout machines, which could exist capable of estimate the age of consumers when they are purchasing restrained gadgets love cigarettes and alcohol. read greater on this record here.

19/10/2018 AI - the station does the legal responsibility lie?

Emma Stevens, Associate Solicitor – Dispute Resolution, Coffin Mew

The arguments regarding liability within the adventure of oversight or incident are birth to expand. As trends proceed, and the use of AI becomes extra mainstream, there will increasingly exist circumstances which title in to question who has liability for the techniques in use.

So says Emma Stevens, associate solicitor - dispute resolution, at law solid Coffin Mew listed here for Computing.

the vast majority of the existing law and case law when it comes to liability and duty in circumstances of negligence greatly pre-dates the continuing robotics revolution. It is obvious that the felony device has a lot of ground to cover before it could possibly simply adjust such advances and the current law will deserve to exist translated to exercise to instances the station in view that the duty and repercussion of AI and robotics was no longer previously vital.

companies can exist brilliant to obtain themselves privy to the technological advances in the sectors wherein they operate, to obtain unavoidable that their contracts are transparent concerning liability (each generally and for AI) and that they've enough insurance in area for any methods used, the station acceptable.

16/10/2018 it's mighty businesses that are making the working in computer gaining information of, survey

A survey of facts scientists, application engineers, architects and senior management has establish that tremendous establishments are taking the lead of their experiments with computing device researching, with respondents in tremendous firms more likely to trust their efforts as 'refined' and to delight in their early successes rewarded by pass of increasing budgets than those in smaller businesses.

About half of the respondents were establish within the US, a quarter in Asia with the the relaxation based somewhere else. The survey changed into carried out by pass of Algorithmia, a US company offering a market for laptop-studying models.

across the complete sample, the main drivers for deploying machine getting to know fashions were producing customer insights and intelligence and improving the client experience. although, in big organisations improving client loyalty topped the checklist, outlined by 59 per cent. massive businesses had been too extra likely to mention slicing expenses as being a motivating drive.

simply 10 per cent of corporations counted themselves as refined of their use of AI and computer gaining information of. The file notes that the variety of groups that pioneered mighty information innovations a number of years back too delight in a headstart when it involves deploying machine discovering fashions. they delight in the information, the infrastructure and the handicap required to build proprietary internal systems - or 'AI layers'  - on which to set up. Examples include fb's FB Learner, Netflix's notebook information Platform and Twitter's BigHead. It appears feasible that this lead widen as investment follows success.

A statistic that demonstrates the universal immaturity of the box is the incontrovertible fact that fifty five per cent of efforts are driven with the aid of IT compared with 37 per cent by using the business.

12/10/2018 China will overtake the us in AI, predicts former president of Google China Kai-Fu Lee

Kai-Fu Lee, head of VC solid Sinovation Ventures and former president of Google China, says that AI's delight in an repercussion on will exist hugely disruptive to every thing from the geopolitical vim steadiness to the job market and peoples′ particular person feelings of self value. whereas one of the vital alterations should exist for the more advantageous, many will not, he says, warning in opposition t the techno-utopianism typical in Silicon Valley.

The accelerate of the coming AI revolution makes parallels with the job introduction that accompanied the proliferation of electrical power and the industrial revolution redundant, Lee argued.

"those earlier technological revolutions took a century or longer," Lee defined, in a fascinating if discomfiting interview with IEEE Spectrum. "That gave individuals time to grow, and improve, and invent modern jobs. but they now delight in really one generation with AI, and that's a lot much less time."

"we've opened Pandora's field," Lee went on, contrasting AI with other technological threats. "We did, as humans, control the proliferation of nuclear weapons, but that expertise become clandestine and required an valuable amount of capital investment. In AI, the algorithms are well generic to many individuals, and it's not viable to enjoin americans to obtain use of them. college students are using them to birth agencies."

Lee believes the fact that the algorithms are readily purchasable capability that the nations with the most computing vigour - and probably the most centralised command buildings - will accumulate obtain the running, finally exporting their innovations to others that could are attempting to sluggish the tide to cushion its affects. China has huge merits over existing leader the USA, he observed, as companies reminiscent of Tencent, which has shut connections to the chinese govt, delight in the statistics, the infrastructure and a workforce that′s reasonably organized to accumulate stuck into the extra humdrum components of developing AI.

"chinese entrepreneurs find areas where there is adequate statistics and a commercially workable software of AI, after which they toil definitely difficult to obtain the application work. it's commonly very complicated, dirty, gruesome work. The records isn't exceeded to you on a silver platter."

a lot of the studying information for the ML algorithms comes from functions love Tencent′s all-encompassing WeChat app, which is "facebook, Twitter, iMessage, Uber, Expedia, Evite, Instagram, Skype, PayPal, GrubHub, LimeBike, WebMD, Fandango, YouTube, Amazon and eBay" rolled into one. special information about a huge percentage of China′s massive population resides in a sole place. And measurement concerns should you're practising neural networks.

These components, along with the chinese government′s capacity to squash any opposition to traits love driverless vans, are everything within the country′s favour because it seeks to become the dominant drive in AI.

Whichever vigour bloc subsequently takes the lead, the upright challenge, says Lee, might exist how to manage societies characterised by increasing inequality and the lack of up to 50 per cent of present jobs, many without a obvious choice duty for those that grasp them, over the coming decades.

11/10/2018 modern AI-focused announcements from Nvidia and Huawei

photos processing enterprise Nvidia has announced an open-supply GPU-acceleration platform known as Rapids which is aimed squarely at facts scientists who exigency to crunch tremendous volumes of records. Nvidia claims that for desktop researching-type use instances Rapids has proved to exist 50 instances sooner than CPU-handiest programs.

Unveiled the previous day in Munich, Rapids is a two-12 months-historical collaboration between Nvidia engineers and Python contributors, pile on Apache Arrow, Pandas and Scikit-study. it is released at rapids.ai below the Apache 2.0 open-source licence.

"Rapids connects the records science ecosystem by means of bringing together regularly occurring capabilities from multiple libraries and including the power of GPU acceleration." the enterprise says in its weblog.

in the meantime, Huawei has unveiled two AI-focused chips of its personal. "As a fraction of its full-stack AI portfolio, Huawei today unveiled the Ascend AI IP and chip collection, the world's first AI IP and chip collection that natively serves everything eventualities, presenting most useful TeraOPS per watt," pronounces the company's press unlock. "Their unified structure additionally makes it simple to install, migrate, and interconnect AI applications throughout several situations," it says.

Alibaba, the "chinese language Amazon" which is investing closely in AI capailities is too suggested to exist constructing a modern AI chip for unlock subsequent yr.

10/10/2018 Apple buys computing device getting to know company Spektral

Apple had stored its $30m acquisition of virtual fact (VR) enterprise Spektral remaining 12 months a clandestine unless Danish newspaper Brsen got grasp of the story, reports Apple Insider.

Spektral, whose founders delight in now joined Apple, turned into a startup specialising in computing device imaginative and prescient, using abysmal studying thoughts and GPU hardware to enhance the precise-time processing of pictures and video at once from the camera. Apple is plain to exist enthusiastic to accumulate ahead within the realm of augmented fact (AR), and Apple Insider speculates that this could exist behind the acquisition. Apple recently modified the design of iPhone cameras to superior assist AR and VR it notes.

10/10/2018 What's modern in Spark and laptop getting to know?

developing efficient laptop discovering models is a tricky job, however making fashions that are incredible enough to assist enterprise techniques operationally is pass more difficult nevertheless. here's why the web giants build their own systems to back their records scientists after which engineers. Matei Zaharia and Andy Konwinski of Databricks told Computing about two open supply projects which are designed to carry such capabilities to in the attain of mere mortals. ML circulate is a framework for standardising and packaging workflows and fashions, whereas challenge Hydrogen improves the integration of everyday abysmal getting to know frameworks such as Tensorflow and PyTorch with Apache Spark. examine the plenary record here.

09/10/2018 self sustaining brokers are the subsequent phase of business AI, claims Fetch.AI

What if AI could tackle advanced negotiation tasks without requiring human intervention? here's the station they are going subsequent, in response to Cambridge-based mostly startup Fetch.AI, which lately partnered with Clustermarket, a booking platform for loaning scientific gadget. the usage of the gadget, gadgets are represented with the aid of self sustaining brokers which navigate a digital panorama in the hunt for the very best deal for themselves and optimising availability and price ordinary. study extra privilege here.


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AI and ML latest news: NewRelic acquires startup SignifAI to bring 'applied intelligence' to DevOps | killexams.com actual questions and Pass4sure dumps

NewRelic, the cloud-based application analytics firm, has added machine learning to its armoury in the shape of SignifAI, an Israeli-US startup focused on event intelligence - or sorting signal from pandemonium in the fast-moving realm of DevOps.

SignifAI, according to its white paper, is a 'SaaS-based correlation engine that leverages AI and machine learning to demolish down the data silos establish in intricate enterprise IT environments.'

It integrates via APIs to around 60 commonly used monitoring and collaboration tools including Splunk, AppDynamics, Slack, AWS, Nagios - and NewRelic itself - and promises to back developers identify the root antecedent of errors by sifting through events, logs, time-series data and infrastructure alerts, ranking and outputting the most probable causes to a user console or through the monitoring tool. Users can too train the model to help the accuracy of the correlations.

AIOps is a relatively modern addition to the blizzard of AI and DevOps-related phrases. It refers to the use of machine learning to analyse data collected from various IT operations tools and devices in order to spot and react to issues in actual time.

In the company's blog, NewRelic's chief product officer Jim Gochee comes down in favour of  the term ‘applied intelligence' to narrate the application of machine learning to the software development process.

"We decided to use the term 'Applied Intelligence' to narrate their philosophy and approach to bringing artificial intelligence (AI) / machine learning (ML) to their space. They chose 'Applied Intelligence' to remind ourselves to continuously reflect on the individual words and their meanings, with the goal of keeping us on track to deliver truly meaningful customer value with their AI efforts," he writes.

04/02/2019 Heathrow trials AI system for landing planes in infamous weather

In infamous weather, visibility from Heathrow's 87-metre tall control tower can exist drastically reduced as low clouds obscure the views of the runways below.

When this happens, air traffic controllers exigency to rely on radar to ensure that a plane that has just landed has cleared the runway, and a margin of oversight must exist built in for safety. This causes delays and backlogs and a 20 per cent loss of landing capacity, according to Airport World.

This is an area where AI - together with ultra HD 4K cameras - can help, believes air traffic control service NATS. The organisation has begun a tribulation using 20 such cameras installed in the tower together with a machine learning system called Aimee which has been developed by Canadian vendor Searidge Technologies. A similar tribulation is underway at Singapore's Changi Airport.

Once trained, Aimee should exist able to track the aircraft from the time they land until they are transparent of the runway, even when the cameras' images are difficult to interpret by the human eye. It will then alert the air traffic controller who will obtain the final determination on whether to transparent the next arriving flight for landing. As such, Aimee is very much an aid to human determination making rather than being an autonomous control system. 

The behaviour of 50,000 arriving aircraft will exist studied over the next 12 months to behold how the system responds to real-world situations.

AI is likely to play an increasingly valuable role in the management of air traffic in the future, including for Heathrow's planned third runway, said Heathrow's operations director, Kathryn Leahy.

"We'll exist keeping a proximate eye on this trial, as the technology could delight in a major role as they prepare for the expanded airport. They will watch how AI and digital towers could exist used to monitor everything three of the expanded airport's runways in future," she said.

The results of the tribulation will exist presented to exist presented to the UK Civil Aviation Authority next March.

28/01/2019 Amazon open-sources its SageMaker Neo machine learning optimisation software

Raspberry Pi Zero

Amazon has open-sourced SageMaker Neo, its software for training machine learning models and optimising the pass they accelerate on different types of devices.

SageMaker Neo is designed to ensure that ML models accelerate as efficiently as feasible on a variety of machines and environments. Unlike the training stage, in which models are generally honed on high-powered machines, for the inference stage, where the model makes predictions based on modern data, it may exist running on much lowlier devices.

The environment can delight in a mighty result on the amount of time it takes for a model to infer a result and on the number of such calculations that can exist accelerate in parallel. On edge devices in the IoT - a sole board computer love a Raspberry Pi for instance - latency and limited concurrency can exist ascetic impediments. ML models are far from device-agnostic.

Most devices can exist optimised to accelerate up the inference process, but this generally involves a unbiased bit of manual tinkering and tribulation and error. The original SageMaker was a model training framework, but SageMaker Neo, introduced last November, combines that with an optimisation stage, taking the fully trained model and generating an executable that's specific to the target device - exist that a GPU or a Pi.

"Amazon SageMaker Neo automatically optimises machine learning models to accomplish at up to twice the accelerate with no loss in accuracy. You start with a machine learning model built using MXNet, TensorFlow, PyTorch, or XGBoost and trained using Amazon SageMaker. Then you elect your target hardware platform from Intel, Nvidia, or Arm. With a sole click, SageMaker Neo will then compile the trained model into an executable," the company says on its website, adding that the compiler uses neural networking techniques to analyse the target platform so that optimisations can exist applied.

The Neo-AI project is available on Github under the Apache Software License, allowing developers to tailor the code to suit their own needs.

Other cloud firms, including Microsoft and Google, are too working on applying AI to the ‘intelligent edge'.

07/01/2019 Huawei announces 'highest performance ARM-based CPU' aimed at AI workloads

Huawei has announced what it claims is the world's best performing ARM-based processor.

Unveiled on Sunday, the Kunpeng 920 is purpose-built for AI workloads that involve processing big volumes of data utilising distributed storage.

In SPECint benchmarking tests, the Kunpeng 920 scored more than 930, or almost 25 per cent higher than the industry benchmark, while using 30 per cent less power than competitors, Huawei claims.

The Huawei-designed processor is manufactured on a 7-nanometer process based on the ARM architecture. It has 64 cores with clock accelerate 2.6GHz and 8-channel DDR4 memory.

The enhanced performance is primarily due to optimised branch prediction algorithms and an increased number of OP units, along with an improved recollection subsystem architecture, according to the firm.

"Today, with Kunpeng 920, they are entering an era of diversified computing embodied by multiple cores and heterogeneity. Huawei has invested patiently and intensively in computing innovation to continuously obtain breakthroughs. They will toil with their customers and partners to build a fully connected, quick-witted world," said William Xu, Huawei's chief strategy marketing officer.

Huawei too announced three modern servers in its TaiShan scope that will exist powered by Kunpeng 920 processors. These are aimed at corporate data centres for mighty data tasks requiring lofty concurrency and low power consumption.

The Kunpeng 920 announcement follows warm on the heels of the AI-focused Ascend AI IP and chip succession unveiled in October (see earlier in this blog).

With its emphasis on in-house design, Huawei is becoming less reliant on non-Chinese chipset suppliers such as Intel, Qualcomm, AMD and Nvidia.

The company has been enmeshed in controversy in recent months, with a number of countries banning its products in their networking infrastructure, claiming they are a security risk.

The company has proximate connections to the Chinese government whose ‘Made in China 2025' strategy targets ten advanced technology areas including AI, robotics, renewable energy and biotechnology. The US has claimed this strategy is a "real existential threat to US technological leadership".

02/01/2019 Researchers use machine learning to diagnose dyslexia

Robot AI reading

A pair of researchers delight in achieved promising results from a machine learning study of dyslexia among school children, diagnosing the condition successfully in 80 per cent of cases without any human intervention

Alex Frid and Larry Manevitz from the University of Haifa, Israel, ran a succession of tests on 32 school children, 17 of whom had previously been diaganosed with dyslexia. The children performed a Lexical determination stint (LDT) in which they were asked to arbitrator whether strings of letters appearing on a screen were meaningful or not.

During this task, the eye movements of subjects were monitored and at the very time electrical activity in different areas of the brain was recorded using electrodes placed on the scalp.

After a preprocessing stage, the researchers used the ReleifF to extract meaningful features from the results in an attempt to classify the results. Many valuable features were in fact discovered in areas of the signal traditionally considered as noise.

By training their ML algorithm using the 60 ‘best' features extracted from the results, the researchers were able to diagnose dyslexia with a 79 per cent success rate; using just the ten best features, a success rate of 70 per cent was still achieved.

However, the goal was not just to use ML for diagnosis.

One theory of the antecedent of dyslexia, which affects an estimated ten per cent of the population, is that the different parts of the brain involved in decoding written texts operate asynchronously, so signals can arrive in the wrong order. The greater the asynchrony, the more difficult reading will exist for the subject.

The greatest inequity between the dyslexic and other readers was observed in activity in the left hemisphere of the brain, particularly the left temporal node which has long been thought to exist valuable in the process of interpreting the written word.

The paper is published by arxiv.org

19/12/2018 EU expert group draws up draft AI ethics guidlines, seeks feedback

The European Commission's High-Level Expert Group on artificial Intelligence (AI HLEG) has released draft ethics guidelines on trustworthy AI. The 37-page document covers proposals to ensure AI is always human-centric and deployed with "an ethical purpose ground in". It includes discussions around limiting color and maximising inclusiveness, as well as ensuring that AI is robust in design and implementation so that it does not antecedent unintentional harm.

AI HLEG boils down the core requirements for trustworthy AI into ten broad areas: Accountability; Data governance; Design for all; Governance of AI autonomy (human oversight); Non-discrimination; Respect for (and enhancement of) human autonomy; Respect for privacy; Robustness; Safety; and Transparency.

It looks at each of these topics from technical and non-technical standpoints with a view to creating guidance on how each might exist ensured.

"Trustworthy AI has two components: (1) it should respect fundamental rights, applicable regulation, and core principles,ensuring 'ethical purpose'; and (2) it should exist technically robust and reliable," the report notes in its conclusion.

"However, even with the best of intentions, the use of AI can result in unintentional harm. Therefore ... AI HLEG has developed a framework to actually implement Trustworthy AI, offering concrete guidance on its achievement."

The group is seeking feedback on its draft proposals before 18 January. In March a final version will exist presented to the Commission.

10/12/2018 Pharma giant Merck in deal to use AI for drug discovery

The use of AI in drug discovery - identifying promising molecules and testing their suitability using models rather than patients - has been a focus of the pharmaceutical industry for some time. Typically drugs require years (and a huge amount of money) to budge from the lab into production.

In the latest move, pharmaceutical giant Merck is to licence an AI-based drug screening platform from Canadian biotechnology solid Cyclica as fraction of a year-long trial.

Cyclica's Ligand Express is a drug screening utensil which Cyclica says is a "cloud-based platform that screens small-molecule drugs against repositories of structurally-characterized proteins or ‘proteomes' to determine polypharmacological profiles."

By understanding how a small-molecule drug will interact with everything proteins in the body, scientists can prioritise candidate molecules for drugs, understanding feasible side effects, and identify genetic variations which might affect the binding of the proposed drug to the target protein. Another use is investigating modern uses for existing drugs.

Small-molecule drugs typically target specific proteins associated with disease, but once in the corpse they may bind to other proteins too, and the side effects are difficult to prognosticate in the lab, leading to lengthy R&D and tribulation procedures. But AI-based techniques can back build a plenary picture of the likely interactions of a particular molecule.

Friedrich Rippmann, Computational Chemistry & Biology director at Merck said the goal is to identify promising molecules and test them as quickly as possible.

"Assessing modern technologies is central to how they will promote their discovery programmes, and artificial intelligence applications love Ligand Express will provide valuable insights to enhance how they arbitrator about target identification to back phenotypic screening and off-target profiling in general," Rippman said.

"Artificial intelligence has the power to obtain the previously unimaginable a reality - they are enthusiastic to harness these modern possibilities to back drive the discoveries that can transform the lives of people affected by difficult-to-treat diseases," added Belén Garijo, member of the executive board and CEO Healthcare at Merck.

07/12/2018 AI cracks text-based captchas

A team of computer scientists has developed a modern machine learning program that can crack the text-based captchas still used by many websites to protect against bots in a fraction of a second.

The program was developed by scientists from Lancaster University in the UK, Northwest University in the US and Peking University in China. It uses abysmal learning techniques and its makers pretense a much higher success rate compared to other captcha assault methods.

It uses Generative Adversarial Network (GAN) to decode the captchas, creating synthetic captchas that are used to train the groundwork solver algorithm. This is then fine-tuned using a smaller set of actual captchas. This saves time and effort, with just 500 genuine captchas required to train the assault programme.

In tests on 33 captcha schemes, some used by the likes of Wikipedia, Google, eBay and Microsoft, the program was able to decipher a captcha within 0.05 seconds when accelerate on desktop graphics processing unit (GPU).

It was too able to evade advanced security features and demostrated a lofty flat of accuracy.

"It allows an adversary to launch an assault on services, such as Denial of Service attacks or spending spam or phishing messages, to pilfer personal data or even forge user identities," said Guixin Ye, a researcher on the project, which was presented at the ACM Conference on Computer and Communications Security (CCS) 2018 in Toronto.

"Given the lofty success rate of their approach for most of the text captcha schemes, websites should exist abandoning captchas."

14/11/2018 Facebook, Google and Twitter use AI to track illegal drug dealing

During his rather feeble 'grilling' by US Congress over Cambridge Analytica and other topics related to the influence of his sociable networks, one question that did elicit a (relatively) direct response from result Zuckerberg was the illegal sale of drugs on Facebook and Instagram - presumably because he could use his favourite stock confess of throwing some more AI at the problem.

The opioid crisis is a raw issue in the US: 72,000 people died from overdoses in 2017 alone.

Now Facebook has said it is actively using AI to track down dealers, coordinating its efforts with experts including forensic labs and local and national organisations. Google and Twitter are too involved in the collaboration.

Facebook's vice president of US public policy Kevin Martin laid out the company's thinking in a blog post.

"We want to obtain vital resources for treatment easier to find. When people search for information about opioids on Facebook and Instagram, they direct them to SAMSHA's [Substance ill-treat and Mental Health Services Administration] National Helpline Information Page and other resources for free and confidential treatment and education," he said.

"We've too begun to roll out proactive detection on Facebook and Instagram to pilfer down more content that violates their policies before people may behold or report it. Their technology is able to detect content that includes images of drugs and depicts the intent to sell with information such as price, phone numbers or usernames for other sociable media accounts.

"By catching more posts automatically, this technology allows their team to use their expertise instead to investigate accounts, Pages, Groups and hashtags, as well as toil with experts to spot the next trends."

Susan Molinari, vice president for public policy at Google, said that 50,000 searches about specific opioid drugs were made each day on the search engine. 

"We know overwhelmingly the people who are searching for back are the parents or family members of opioid users, so they know that if they can shove them toward organisations love the Partnership for Drug-Free Kids, then we're getting them instant connections," Molinari said.

The efforts so far are everything about blocking content and nudging users towards getting back rather than reporting transgressors to law enforcement.

24/10/2018 Oracle acquires AI company-intelligence solid DataFox

Oracle has acquired DataFox, a SaaS AI solid that crunches big volumes of data on public and private businesses and feeds the results into an AI engine to create company-intelligence that customers can add to their CRM.

The San Francisco-based startup received initial funding from Google Ventures in 2014 and counts Bain Capital, NetApp and Goldman Sachs among its customers. Co-founder and CEO Bastiaan Janmaat was a growth equity analyst at Goldman Sachs before founding the firm, and the investment bank has a stake in DataFox.

In a epistle to DataFox customers and partners, Steve Miranda, executive VP applications development at Oracle, said: "The combination of Oracle and DataFox will enhance Oracle Cloud Applications with an extensive set of AI-derived company-level data and signals, enabling customers to attain even better decisions and business outcomes."

DataFox pulls information on millions of businesses from multiple sources including word articles, digital properties and 'unique signals' and analyses them to provide real-time information on when a company's fortunes might exist about to change. Oracle says it plans to "enrich" its cloud applications such as ERP, CX, HCM and SCM with "AI-driven company-level data". Presumably the credit is to pilfer a march on cloud compeition from the likes of Salesforce.

Terms of the acquisition delight in not been disclosed.

19/10/2018 UK supermarkets to tribulation AI checkouts for age-verification

Facial recognition technology is to exist trialled by UK supermarkets for age verification purposes, with a few as-yet-unidentified stores rolling out the scanning tech at self-service checkouts this year and more widely in 2019.

The rollout is being led by US vendor NCR, which makes self-service checkout machines for Tesco and Asda among others. The company will integrate an 'AI-powered camera' (whatever that may be) into the checkout machines, which will exist able to estimate the age of shoppers when they are buying restricted items love cigarettes and alcohol. Read more on this record here.

19/10/2018 AI - where does the liability lie?

Emma Stevens, Associate Solicitor – Dispute Resolution, Coffin Mew

The arguments regarding liability in the event of oversight or incident are birth to expand. As developments continue, and the use of AI becomes more mainstream, there will increasingly exist cases which convoke in to question who has liability for the systems in use.

So says Emma Stevens, associate solicitor - dispute resolution, at law solid Coffin Mew in this article for Computing.

The majority of the existing legislation and case law in relation to liability and duty in cases of negligence significantly pre-dates the ongoing robotics revolution. It is transparent that the legal system has a lot of ground to cover before it can effectively regulate such advances and the existing law will exigency to exist translated to apply to situations where considering the role and repercussion of AI and robotics was not previously necessary.

Businesses would exist sensible to obtain themselves aware of the technological advances in the sectors in which they operate, to ensure that their contracts are transparent regarding liability (both generally and for AI) and that they delight in adequate insurance in station for any systems used, where appropriate.

16/10/2018 It's mighty companies that are making the running in machine learning, survey

A survey of data scientists, software engineers, architects and senior management has establish that big organisations are taking the lead in their experiments with machine learning, with respondents in big organisations more likely to account their efforts as 'sophisticated' and to delight in their early successes rewarded by increasing budgets than those in smaller firms.

About half of the respondents were located in the US, a quarter in Asia with the residue based elsewhere. The survey was conducted by Algorithmia, a US company offering a marketplace for machine-learning models.

Across the entire sample, the main drivers for deploying machine learning models were generating customer insights and intelligence and improving the customer experience. However, in big enterprises improving customer loyalty topped the list, mentioned by 59 per cent. big enterprises were too more likely to mention cutting costs as being a motivating force.

Just 10 per cent of companies counted themselves as sophisticated in their use of AI and machine learning. The report notes that the sort of companies that pioneered mighty data techniques a few years back too delight in a headstart when it comes to deploying machine learning models. They delight in the data, the infrastructure and the skills required to build proprietary internal platforms - or 'AI layers'  - on which to deploy. Examples include Facebook's FB Learner, Netflix's Notebook Data Platform and Twitter's BigHead. It seems likely that this lead widen as investment follows success.

A statistic that demonstrates the generic immaturity of the realm is the fact that 55 per cent of efforts are driven by IT compared with 37 per cent by the business.

12/10/2018 China will overtake the US in AI, predicts former president of Google China Kai-Fu Lee

Kai-Fu Lee, head of VC solid Sinovation Ventures and former president of Google China, says that AI's influence will exist hugely disruptive to everything from the geopolitical power balance to the job market and peoples′ individual feelings of self worth. While some of the changes will exist for the better, many will not, he says, warning against the techno-utopianism common in Silicon Valley.

The accelerate of the coming AI revolution makes parallels with the job creation that accompanied the proliferation of electrical power and the industrial revolution redundant, Lee argued.

"Those earlier technological revolutions took a century or longer," Lee explained, in a fascinating if discomfiting interview with IEEE Spectrum. "That gave people time to grow, and develop, and invent modern jobs. But they delight in basically one generation with AI, and that's a lot less time."

"We've opened Pandora's box," Lee went on, contrasting AI with other technological threats. "We did, as humans, control the proliferation of nuclear weapons, but that technology was clandestine and required a huge amount of capital investment. In AI, the algorithms are well known to many people, and it's not feasible to enjoin people to use them. College students are using them to start companies."

Lee believes the fact that the algorithms are easily available means that the nations with the most computing power - and the most centralised command structures - will accumulate obtain the running, ultimately exporting their innovations to others that might try to leisurely the tide to cushion its impacts. China has mighty advantages over current leader the USA, he said, as companies such as Tencent, which has proximate connections to the Chinese government, delight in the data, the infrastructure and a workforce that′s quite prepared to accumulate stuck into the more humdrum parts of developing AI.

"Chinese entrepreneurs find areas where there's enough data and a commercially viable application of AI, and then they toil really difficult to obtain the application work. It's often very hard, dirty, plain work. The data isn't handed to you on a silver platter."

Much of the learning data for the ML algorithms comes from applications love Tencent′s all-encompassing WeChat app, which is "Facebook, Twitter, iMessage, Uber, Expedia, Evite, Instagram, Skype, PayPal, GrubHub, LimeBike, WebMD, Fandango, YouTube, Amazon and eBay" rolled into one. detailed information about a big symmetry of China′s huge population resides in one place. And size matters when you're training neural networks.

These factors, together with the Chinese government′s capacity to squash any opposition to developments love driverless trucks, are everything in the country′s favour as it seeks to become the dominant compel in AI.

Whichever power bloc ultimately takes the lead, the actual challenge, says Lee, will exist how to manage societies characterised by increasing inequality and the loss of up to 50 per cent of current jobs, many with no obvious alternative role for those that hold them, over the coming decades.

11/10/2018 modern AI-focused announcements from Nvidia and Huawei

Graphics processing solid Nvidia has announced an open-source GPU-acceleration platform called Rapids which is aimed squarely at data scientists who exigency to crunch big volumes of data. Nvidia claims that for machine learning-type use cases Rapids has proved to exist 50 times faster than CPU-only systems.

Unveiled yesterday in Munich, Rapids is a two-year-old collaboration between Nvidia engineers and Python contributors, pile on Apache Arrow, Pandas and Scikit-learn. It is released at rapids.ai under the Apache 2.0 open-source licence.

"Rapids connects the data science ecosystem by bringing together approved capabilities from multiple libraries and adding the power of GPU acceleration." the solid says in its blog.

Meanwhile, Huawei has unveiled two AI-focused chips of its own. "As fraction of its full-stack AI portfolio, Huawei today unveiled the Ascend AI IP and chip series, the world's first AI IP and chip succession that natively serves everything scenarios, providing optimal TeraOPS per watt," proclaims the company's press release. "Their unified architecture too makes it simple to deploy, migrate, and interconnect AI applications across different scenarios," it says.

Alibaba, the "Chinese Amazon" which is investing heavily in AI capailities is too reported to exist developing a modern AI chip for release next year.

10/10/2018 Apple buys machine learning solid Spektral

Apple had kept its $30m acquisition of virtual reality (VR) solid Spektral last year a clandestine until Danish newspaper Brsen got hold of the story, reports Apple Insider.

Spektral, whose founders delight in now joined Apple, was a startup specialising in computer vision, using abysmal learning techniques and GPU hardware to help the real-time processing of images and video directly from the camera. Apple is known to exist keen to accumulate ahead in the realm of augmented reality (AR), and Apple Insider speculates that this may exist behind the acquisition. Apple recently changed the design of iPhone cameras to better back AR and VR it notes.

10/10/2018 What's modern in Spark and machine learning?

Creating useful machine learning models is a tough job, but making models that are robust enough to back business processes operationally is far tougher still. This is why the web giants build their own platforms to back their data scientists and then engineers. Matei Zaharia and Andy Konwinski of Databricks told Computing about two open source projects that are designed to bring such capabilities to within the attain of mere mortals. ML flux is a framework for standardising and packaging workflows and models, while Project Hydrogen improves the integration of approved abysmal learning frameworks such as Tensorflow and PyTorch with Apache Spark. Read the plenary record here.

09/10/2018 Autonomous agents are the next phase of enterprise AI, claims Fetch.AI

What if AI could pilfer on intricate negotiation tasks without requiring human intervention? This is where they are going next, according to Cambridge-based startup Fetch.AI, which recently partnered with Clustermarket, a booking platform for loaning scientific equipment. Using the system, instruments are represented by autonomous agents which navigate a virtual landscape seeking the best feasible deal for themselves and optimising availability and price overall. Read more here.


Okta, Inc. (OKTA) CEO Todd McKinnon on Q3 2019 Results - Earnings convoke Transcript | killexams.com actual questions and Pass4sure dumps

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Okta, Inc. (OKTA) Q3 2019 Earnings Conference convoke Transcript | killexams.com actual questions and Pass4sure dumps

Image source: The Motley Fool.

Okta, Inc. (NASDAQ: OKTA)Q3 2019 Earnings Conference CallDec. 5, 2018, 5:00 p.m. ET

Please stand by. friendly day and welcome to the Okta Third Quarter 2019 Earnings Call. Today's conference is being recorded. At this time, I'd love to whirl the conference over to Ms. Catherine Buan, Vice President of Investor Relations. please fade ahead, ma'am.

Good afternoon and thank you for joining us on today's conference convoke to debate Okta's fiscal third quarter 2019 monetary results. My title is Catherine Buan, VP of Investor Relations at Okta. With me on today's convoke are Todd McKinnon, Okta's Co-Founder and Chief Executive Officer; Bill Losch, the company's Chief monetary Officer; and Frederic Kerrest, the company's Co-Founder and Chief Operating Officer.

Statements made on this convoke include forward-looking statements pursuant to the safe harbor provisions of the Private Securities Litigation Reform Act of 1995, including, but not limited to, statements regarding their monetary outlook, their market positioning, and benefits that may exist derived from their recent acquisitions. Forward-looking statements involve known and unknown risks, uncertainties and other factors that may antecedent their actual results, performance, or achievements to exist materially different from any future results, performance, or achievements expressed or implied by the forward-looking statements. You should not rely upon forward-looking statements as predictions of future events. Forward-looking statements delineate their management's beliefs and assumptions only as of the date such statements are made.

In addition, during today's call, they will debate non-GAAP monetary measures. These non-GAAP monetary measures are in addition to and not a substitute for or superior to measures of monetary performance prepared in accordance with GAAP. There are a number of limitations related to the use of these non-GAAP monetary measures versus their closest GAAP equivalents. For example, other companies may cipher non-GAAP monetary measures differently or may use other measures to evaluate their performance, everything of which could reduce the usefulness of their non-GAAP monetary measures as tools for comparison. A reconciliation between GAAP and non-GAAP monetary measures is available on their earnings release.

Further information on these and other factors that could affect the company's monetary results is included in filings they obtain with the Securities and Exchange Commission, the SEC, from time to time, including the section titled "Risk Factors" in the quarterly report on figure 10-Q previously filed with the SEC. You can too find more detailed information in their supplemental monetary materials, which includes trended monetary statements and key metrics posted on their Investor Relations website.

Now, I'd love to whirl the convoke over to Todd McKinnon. Todd?

Thanks, Catherine, and thanks to everyone for joining us today. Before they start the call, I'd love to pilfer a moment to recognize this day of memorial for the late President George H.W. Bush. They homage his presidency and lifetime of public service to their country and their thoughts are with his family today.

Our third fiscal quarter was another outstanding quarter for Okta, with total revenue and calculated billings both up 58% year-over-year. They continued to invest across their business while improving their bottom line. Operating margin improved over 22 points and free cash flux margin improved more than 18 points year-over-year, making us free cash flux positive for the first time.

We too had a record quarter in terms of customer growth. They added over 450 modern customers in Q3, bringing their total to over 5,600 customers. Even more exciting is the momentum with their largest customers. They saw 55% growth in customers with over $100,000.00 in annual recurring revenue, which represents a record 100 net modern adds in the quarter.

This momentum is an indicator that identity is an increasingly strategic imperative for organizations in every industry and validates Okta's approach to helping organizations manage everything their identities through their independent cloud platform. As a reminder, they address two markets: workforce identity, the identities of employees, contractors, and partners, and customer identity, the identities of their customers' customers.

We closed a number of significant deals in the quarter. I'll highlight a few of them.

First, Hertz Global Holdings, a car rental company that operates in 150 countries, is an exciting modern deal for us. The company chose Okta to securely connect everything of its employees to the hundreds of applications they use to accelerate their business. Hertz will use their workforce identity products, namely Okta sole Sign-On, Universal Directory, and Multifactor Authentication, to provide a better and more secure user suffer for its associates around the world and reduce IT helpdesk and administration costs.

Next, an international monetary services company with over 750,000 members was a modern customer identity and workforce identity win for us in the quarter. The company recognized that its outsourced identity solution lacked a plenary view of its customers and did not back its digital initiatives. They worked with Deloitte to find a sole identity platform that could manage and secure both its members and employees. They selected Okta's customer identity products to provide personalized experiences for its members and their workforce identity products, including sole Sign-On, Universal Directory, Lifecycle Management, and Adaptive Multifactor Authentication, to streamline employee access to workforce applications.

A noteworthy upsell in the quarter was the U.S. Department of State, who had initially purchased Okta for authentication for its more than 100,000 external industry partners, but will now expand to its entire workforce. The status Department evaluated multiple identity solutions to strengthen its security pose and back its transition to the cloud. They believe the status Department selected Okta as its enterprisewide workforce identity solution because of their credibility across the government sector to secure identities and digital assets across a wide variety of users and technologies.

Okta sole Sign-On, Universal Directory, Lifecycle Management, and Adaptive Multifactor Authentication products will provide 170,000 status Department employees, contractors, and agency partners with secure, seamless access to web and cloud-based applications, such as Office 365, ServiceNow, Box, and AWS.

We are very excited about the customer momentum in the quarter. Not only are they seeing more deals, we're too seeing broader adoption of their technology and we'll continue to innovate and expand on their platform. There are a pair of overarching takeaways I want to highlight from the third quarter.

First, they are seeing traction with the investments they delight in made in their ally strategy. In particular, their ally ecosystem is growing significantly, as the awareness around identity is increasing and the space is becoming better defined. Meanwhile, big players, such as Deloitte and VMWare, delight in recognized Okta as a vendor of choice for identity solutions, which further enhances their positioning in these ally opportunities. They are pleased with their momentum in ally deals in the quarter, including the U.S. Department of State, and believe they are in the early innings of seeing upside from these relationships.

And, second, we've continued to build out their Zero trust security framework. last quarter, I talked about their acquisition of ScaleFT as an valuable step in furthering their position in Zero trust security. They believe that identity is the foundation for enabling Zero trust security and we're encouraged to behold that validated both by their customers and the industry.

Last month, Forrester Research published its first-ever Wave evaluation of the Zero trust security framework, in which Okta was recognized as a tenacious performer and earned the highest feasible score in the criteria "People," "Workforce Security," "Vision and Strategy," and "Market Approach."

We're very pleased with their consistently tenacious results and the momentum we're seeing and they arbitrator it's' being driven by several factors. They believe significant technology transitions are pushing the market in their direction. First, every organization they talk to is on a journey to the cloud. Second, they're thinking about how to become technology companies and better engage with customers online or through custom and mobile applications. And, third, security has become a priority at the highest level.

As these transitions unfold, organizations are recognizing the captious role that identity must play in their environments. And while cloud, digital transformation, and security are top priorities, most organizations are still relatively early in their journeys to realize their plenary potential. They believe Okta's opening will grow alongside everything three of these transitions as they continue to mature over time.

The market is validating their credit that identity is the foundation for securely connecting people and technology and they believe that Okta is leading in identity and winning for a few valuable reasons.

First, they delight in a fundamentally different approach to the space than their competitors. The Okta Identity Cloud is a completely independent and neutral cloud platform for identity. Because their business isn't tethered to the success of specific applications, customers cherish that Okta will let them elect and continuously adopt the best technologies for their business. Their customers arbitrator of Okta as an independent platform that helps them future-proof their technology investments.

Second is the Okta Integration Network. Because of the central role Okta plays for their customers, they strive to integration every technology those customers will want to use. With more than 5,500 pre-built integrations to cloud and on-premise applications and advanced integrations, the network security providers love Palo Alto Networks, security analytics providers love Splunk, and IT operations providers love ServiceNow, they believe the Okta Integration Network is their sole biggest differentiator in the market.

The breadth and depth of their integrations are critical, especially in this industry, because the kinds of capabilities that they proffer are only as useful as the technologies they integrate with. Many of the reasons their customers adore Okta are the result of their long-term and continued investments in innovation in the Okta Integration Network, reasons such as the accelerate of implementation, the capacity to rollout applications in days or weeks versus months or years, the capacity to address a very intricate set of problems with a simple and intuitive solution, and the capacity to retain pace with technology.

And what we've seen as a result is a powerful network result that is generating a ton of value for Okta, their customers, and their ecosystem of partners. As they integrate to more technologies, they become more valuable to their customers. As they attract more customers, technology providers become more incentivized to integrate to Okta.

The third intuition we're winning is that we're uniquely able to serve as the identity yardstick for their customers because they proffer a sole identity platform for every character of user in an organization's ecosystem, from their employees and contractors to their partners and their customers. Increasingly, we're seeing customers adopt Okta as this sole yardstick and retire legacy infrastructure along the way, including both longtime customers, love Experian, Allergan, or Adobe, and modern customers, love Major League Baseball, who recently presented at their Investor Day. They are able to manage and secure everything of their identities in a consistent pass from a sole platform.

The last thing I'll convoke out that sets us apart is their customer-first focus. They arbitrator of customer success in a much broader pass than most technology companies, even most cloud technology companies. For most, customer success is about making sure customers are successful on your platform, that they're able to successfully implement it and use it. This is, of course, upright for us as well. However, since Okta is an enabling platform for people and technology, it has to exist more. Their customers buy Okta to obtain the relaxation of their technology even better.

For example, many use Okta to automate provisioning from their HR systems to downstream applications. Even more use Okta to rollout applications love Office 365 to highly distributed environments. Their metrics for success aren't just about being successful with Okta, they're about being able to automate provisioning through Workday to help employee on-boarding and off-boarding or being able to rollout Office 365 to big global organizations in a matter of weeks.

These are the kinds of success stories they keeping about most and since we've done these kinds of implementations countless times, their customers are able to lanky on their suffer and expertise to ensure they're successful with Okta and the technologies they connect to.

In summary, the market is being driven their way, as momentum in cloud, digital transformation, and security are everything converging on identity. And we're winning because of their independent and neutral approach, the breadth and depth of the Okta Integration Network and their capacity to proffer one platform for every use case, and their customer-first focus.

Thanks again for your time today and I'll now whirl it over to Bill to walk through the monetary results.

Bill Losch -- Chief monetary Officer

Thanks, Todd. And thanks again to everyone for joining us. I'll first fade through their results for the third quarter of fiscal year 2019 before discussing their outlook.

We had another tenacious quarter, with revenue totaling $105.6 million, growing 58% year-over-year. Subscription revenue totaled $97.7 million in the third quarter, an extend of 58% year-over-year, representing 93% of their total revenue, up slightly from 92% in Q3 last year. Professional services revenue was $7.9 million, an extend of 56% over the very term last year.

Revenue from outside of the U.S. grew 58% year-over-year and represented approximately 16% of their third quarter revenue, consistent with Q3 last year. They continue to view their international business as a long-term growth driver and they are investing strategically to foster this incremental growth opportunity.

Moving on to billings, the current portion of calculated billings growth for the quarter was 57% year-over-year. Total calculated billings for the third quarter totaled $124 million, an extend of 58% over Q3 last year. They were very pleased with their calculated billings growth and the underlying demand that continues to drive their business. Contributing to their lofty billings growth rate was better than expected bookings linearity in the quarter and the profitable timing of unavoidable invoices.

Our growth has benefited from momentum of modern customer additions as well as upsells within their customer groundwork across everything of their segments. The total number of customers at the conclude of the quarter was over 5,600, up 42% year-over-year, a slight acceleration from Q2. They saw broad additions across their enterprise customer groundwork and added a record number of net modern customers with annual recurring revenue greater than $100,000.00, up 100 from the previous quarter to 937, representing a 55% year-over-year growth.

Our dollar-based retention rate for the trailing 12 months ended October 31st remained tenacious at 120%, demonstrating the ongoing success they are having expanding within their existing customer base.

Before turning to expense items and profitability, I would love to point out that I will exist discussing non-GAAP results going forward. Their GAAP monetary results, along with the reconciliation between GAAP and non-GAAP results, can exist establish in their earnings release, as well as the supplemental materials posted on their Investor Relations website.

Subscription grievous margin continues to exist tenacious at 82.2%, up 180 basis points versus the third quarter last year. Their professional services grievous margin was negative 3.2% compared to negative 30.6% in the third quarter last year, primarily due to tenacious utilization and improving operational leverage. Total grievous margin was 75.8% for the third quarter, up 380 basis points year-over-year. grievous profit was $80 million, up 66% year-over-year. Their grievous margin represented a modern record lofty as they continue to scale their platform.

Turning now to operating expenses, sales and marketing expense for Q3 was $50.7 million compared to $43.7 million in Q3 last year. This represents 48% of total revenue, an improvement from 65% in the third quarter last year. This year-over-year improvement was aided by the expense repercussion due to the timing of Oktane, their annual customer event, which was held in Q3 of last year but in Q2 of this year.

R&D expense in Q3 was $21.3 million compared to $14 million in Q3 last year. This represents a growth rate of 52%, as they continued to invest significantly in the Okta Identity Platform and their Okta Integration Network. At the very time, R&D as a percentage of revenue remained fairly consistent at 20% compared to 21% in Q3 last year.

G&A expense was $14.5 million for the third quarter compared to $9.9 million in the third quarter last year. G&A was 14% of revenue, an improvement from 15% for Q3 last year.

Our total headcount was 1,473 as of October 31st, growing 29% over Q3 of last year. They are adding headcount across the board to back the growth of their business and hope headcount growth to continue to accelerate in the fourth quarter as they further invest in their go-to-market initiatives and innovation across their platform capabilities.

We remain focused on durable growth and as a result, they behold continued improvement in their operating margin while maintaining tenacious top-line growth. Operating loss in the quarter was $6.5 million, which is a margin of negative 6.1%, compared to a negative 28.9% in the very term last year, a significant improvement of over 22 points. Net loss per participate in Q3 was $0.04 with 109 million basic shares outstanding. This compares to a net loss per participate in Q3 last year of $0.19 with 95 million basic shares outstanding at the time.

Operating cash flux was positive $6.4 million in Q3. Operating cash flux margin was 6.1% compared to negative 14.2% in Q3 last year, an improvement of over 20 points. Their top-line outperformance and continued margin improvement resulted in positive free cash flux in the quarter for the first time. Free cash flux came in at a positive $1.4 million in the quarter. Free cash flux margin was 1.3%, an improvement of over 18 points compared to a negative 16.8% for Q3 last year.

We are particularly pleased with this given the repercussion they saw with CapEx in the quarter due to their ongoing headquarter office expansion. While they are encouraged by their tenacious cash flux performance in the quarter, they continue to hope to behold variability in free cash flux margin due to this expansion, along with ongoing fluctuations in working capital.

Turning to the balance sheet, they ended the third quarter with $546 million in cash, cash equivalents, and short-term investments. This includes the net proceeds of $307 million from the convertible senior notes they issued in Q1.

Moving on to guidance, for the fourth quarter of fiscal 2019, they expect: total revenue of $107 million to $108 million, representing a growth rate of 39% to 40% year-over-year; non-GAAP operating loss of $12.5 million to $11.5 million; non-GAAP net loss per participate of $0.09 to $0.08, assuming shares outstanding of approximately 110 million.

For the full-year fiscal 2019, they now expect: total revenue of $391 million to $392 million, representing a growth rate of 52% to 53% year-over-year; non-GAAP operating loss of $49 million to $48 million; non-GAAP net loss per participate of $0.37 to $0.36, assuming shares outstanding of approximately 107 million.

Although they are still early in monetary planning for fiscal 2020, I would love to provide a preparatory view as you glance at your models for next year. They currently estimate revenue for fiscal year 2020 to exist between $510 million and $520 million, representing a growth rate of 30% to 33%.

In summary, I'm pleased with their consistent execution and the results they reported this quarter. They remain committed to durable growth, as outlined at their Investor Day in October. They behold this growth coming from customer momentum, ally channel traction, international expansion, and innovation in their platform and network. In particular, this quarter, we're excited about the continued traction they behold across their ally ecosystem. They remain confident in their positioning and long-term strategy.

As Todd mentioned, they behold benefit from the market tailwinds that are elevating the exigency for identity. These tailwinds, in addition to the success we've seen with their leading platform, Integration Network, and customer-first approach, continue to station us in a winning position. They are excited about the opportunities ahead and glance forward to closing out the year on a tenacious note.

With that, Todd, Frederic, and I will pilfer your questions. Operator?

Questions and Answers:

Operator

Thank you. If you would love to interrogate a question, please signal by pressing "*1" on your telephone keypad. If you are using a speakerphone, please obtain sure your mute duty is turned off to allow your signal to attain their equipment. Again, press "*1" to interrogate a question.

And we'll pilfer their first question today from Sterling Auty with J.P. Morgan.

Sterling Auty -- J.P. Morgan -- Analyst

Yeah, thanks. Hi, guys. I believe Microsoft Azure active Directory had a pair notable outages in the recent past here and I'm just wondering if that's actually changed the conversations or the number of discussions driving more interest in your solution or is it even having an adverse result where companies are perhaps nervous about identity in the cloud?

Todd McKinnon -- Co-Founder and Chief Executive Officer

Hey, Sterling. It's a friendly question. We're having so many conversations with so many customers and they everything benign of result the very key, mighty trends. One is just customers exigency back adopting more cloud. They're thinking about apps -- Office 365, Google Apps. They're thinking about infrastructure -- Amazon, Azure. They're thinking about business apps -- Salesforce, Workday, ServiceNow.

And the reliability, as you mentioned, is one thing but there's just a all host of things they're trying to motif out. And they're trying to motif out security, to obtain sure these apps are accessible and secure. They're trying to motif out how to accumulate the most business benefits out of it. And they are increasingly realizing that identity is the key to a lot of that. If you want to achieve secure deployments, if you want to achieve quick deployments, if you want to achieve deployments that will accumulate the business benefits, you delight in to delight in your identity record straight.

Vis a vis Microsoft, specifically, one thing that's challenging is that, because of their breadth of customers, now over 5,600 customers, and many, many of those customers using some technology from Microsoft, they actually accumulate visibility into the reliability of Microsoft's products. So, they actually -- it's not just in conversations with customers or prospective customers, but it's conversations with existing customers, talking about what was the extent of this outage, can you understand how broadly the repercussion was.

So, we're able to back customers understand the breadth of some of the technology choices they are using and the pros and cons and that's the benefit of being this independent and neutral platform. So, I would contradict it is something they behold but in the imposing scheme of things, it's one of the many conversations we're having.

Sterling Auty -- J.P. Morgan -- Analyst

All right. Great. And then one quick follow-up on Zero Trust. How should they arbitrator about what portion of the Zero trust architecture that Okta will ultimately provide? And I guess what I'm thinking about is it seems like, in some of these models, you'll delight in some of the cloud gateway companies playing a role as well. So, is that an area where they should glance for increased partnership from Okta touching forward?

Todd McKinnon -- Co-Founder and Chief Executive Officer

It's a friendly question. So, Zero trust is the term in the industry these days -- it's a fairly recent term in the industry -- which basically means don't trust the network. Give the user the very suffer regardless of whether it's an internal network or a network from home or a network from a coffee shop. Give them the very experience. very mighty ease of use and, most importantly, very mighty security.

So, many times, customers aren't asking for Zero Trust, per se, they're asking for, "How achieve you obtain this everything secure?" And they're saying, "We adore the cloud. We're trying to build better customer-facing applications but security is paramount and they exigency back securing that all." And what they're increasingly realizing is that identity is the key to that. You delight in to control identity to give a really mighty user suffer and a secure user experience.

So, now Zero trust is the industry trying to station a design pattern in station around what this truly looks love and what are the different components you exigency and what achieve you exigency on the client. What achieve you exigency on the device? What achieve you exigency in terms of, as you mentioned, gateways and other things? And people delight in different opinions but one thing that's becoming very transparent is that you delight in to delight in identity covered well and you delight in to delight in a friendly identity backbone to achieve security and to achieve Zero Trust.

So, I arbitrator what you'll behold is -- and you behold it in their results -- that identity is prevalent and pervasive, especially as customers achieve more cloud and want to exist more secure. And then the actual details of that, whether you exigency a gateway or how the VPNs felicitous in, those details will exist figured out over time but identity is going to exist at the core.

Sterling Auty -- J.P. Morgan -- Analyst

Got it. Thank you.

Operator

Next we'll hear from Terry Tillman with SunTrust.

Terry Tillman -- SunTrust Robinson Humphrey -- Analyst

Hey, friendly afternoon, everyone. Thanks for taking my questions and mighty set of results. Maybe the first question because they heard a lot in your all's prepared remarks about ally momentum. I know earlier in the year it looked love you everything benign of refined your ally program with ally Connect and maybe redesigned it. So, I don't know if some of that's behind benign of this amped up success with partners but maybe you could just talk about some of the things, structurally, you've been doing around partnering. And then maybe, more specifically, VMWare and Deloitte, a diminutive bit more specificity in terms of the momentum with them.

Frederic Kerrest -- Co-Founder and Chief Operating Officer

Yeah, absolutely. Hi, Terry, this is Frederic. joyful to talk about that. I arbitrator you bring up a very valuable point, which is the weight of partners in their business. It's something we've obviously been working on for a number of years. These things are not things that you can just whirl on overnight. I arbitrator you highlighted a pair of examples of some of the mighty categories that I would point to and that they behold a lot of momentum growing in their business.

The first one are the global system integrators. You mentioned Deloitte, but too some of the other folks that are out there as strategic advisors and implementers to big enterprise and public organizations. Deloitte is doing very well. I was just, actually, in Europe last week with a number of their customers opening up their Franc office and had an opening to speak with some of the senior partners there and they're as excited in Europe as they are in North America to toil with us, both on the security implementation side but too on the big digital transformation projects that they want to exist involved with.

The second piece are very big technology partnerships that are starting to near into play. Again, you mentioned a very valuable one, VMWare. For those of you who might not recollect everything the details, they announced an valuable partnership that they started last May at Oktane with VMWare with first technology and business integrations between their teams. They furthered that at VMWare's VMWorld and VMWorld Europe in Barcelona in early November, where they talked about the second flat of technology integration, as well as extending that partnership out to VMWare's channel. And, again, in Europe last week, I heard from a lot of folks in the VMWare channel who were very excited about this partnership, as well as customers and prospects excited at seeing us toil with such a big and valuable company and an valuable piece of technology for them.

And then, finally, I would just point to the Okta Integration Network, which continues to exist the de facto yardstick in the industry for the best and broadest, deepest integrations across thousands of not only applications, but pieces of infrastructure, networking gear, and everything else, with dozens of advanced integrations that are really benefiting their customers, where they find these solutions, end-to-end, drive a lot of value.

So, they are seeing a lot across everything the different pieces of their ally ecosystems, which they continue to invest in, but love their business, these are early days and the opportunities ahead are very big and we're excited to retain pile upon these results.

Todd McKinnon -- Co-Founder and Chief Executive Officer

Yeah. And I would add, Terry, that the programmatic things that Freddy talked about are very valuable but one thing I've noticed is that the business results we're showing are really motivating the partners. So, if you talk about 100 modern deals over $100,000.00 in ARR, partners notice that as well and they want to exist on board with the latest trends and the leader in this industry. And the business success and the momentum in the market has driven the ally momentum as much as anything else we've done programmatically.

Terry Tillman -- SunTrust Robinson Humphrey -- Analyst

That's great. Thanks to both of you for the answer. And I guess just my quick follow-up is on ThreatInsight. Todd, I know earlier in the year, you everything benign of unveiled benign of where you could fade with everything this analytics horsepower. It looked love the pass some of this could toil is you delight in to buy the higher price point, the SSO or the MFA product, to accumulate access to it. But what can you just achieve in terms of an update on ThreatInsight, how it's being received, and just where you are with that? Thanks again.

Todd McKinnon -- Co-Founder and Chief Executive Officer

ThreatInsight, essentially, it's really valuable for the value it delivers to customers and it delivers value in a pass that's pretty special. Because they behold so many customers and so many logins, they can detect threats across the entire ecosystem and then they can expose that threat intelligence back to individual customers and let them configure policies in Okta that would obtain unavoidable decisions based on those threats that are pertinent to an individual customer. So, because they behold the data, they can obtain the product more valuable for individual customers and it's one of the benefits of being on the cloud platform.

ThreatInsight is going very well. They are continuing to roll it out and uptake has been very positive. We're working with getting a lot of feedback from customers, not just on ThreatInsight but in the overall policy engine and continuously innovating around the capabilities, as they achieve for everything of their features. They delight in this model, this cloud model, which allows us to continuously release features and functions but too the data changes everything the time. So, as threats emerge, it's updated in real-time in ThreatInsight. So, it's a very powerful capability that's being well-received by the customer base.

Operator

Mr. Tillman, achieve you delight in anything further?

Terry Tillman -- SunTrust Robinson Humphrey -- Analyst

I arbitrator I've taken enough of their time. Thank you.

Operator

Thank you. We'll now hear from Alex Henderson with Needham.

Alex Henderson -- Needham & Company -- Analyst

Great. Thank you very much. I was hoping you could talk a diminutive bit about the competitive landscape relative to Cisco's acquisition of Duo and to what extent you're seeing any change in the deportment of customers that they've been associated with or to what extent, as you're going through your competitive processes, you are taking more business from that channel or any change in that dynamic?

Todd McKinnon -- Co-Founder and Chief Executive Officer

We haven't seen a change. The mighty picture is that there are a lot of deals. I mean, the market is really accelerating. There are a lot of deals. And the overall competitive trends are very consistent with what we've seen. Their win rates delight in been consistent for several years with respect to everything the competitors.

The competitors are different. It's very different when you're competing with someone love a Microsoft, where the dynamic is, customers, they really don't want to exist locked into Microsoft. They're worried about lock-in to a unavoidable platform, particularly Microsoft. So, there, it's about this broad identity platform that can back multiple technologies, give the customer choice and freedom from any benign of being driven down a unavoidable path. That's powerful to them.

Different competitors are different. So, maybe a legacy competitor, it's everything about a product set that's not being updated or not being migrated to the modern environment and they behold us as their pathway to the future, their pathway to the cloud, their pathway to digital transformation. Or a point competitor, maybe that just doesn't delight in the breadth of coverage and can't accumulate into deals and can't cover the field. Or maybe it's just more of the niche solution, not a broader platform.

So, I think, back to your question about Duo and Cisco. First of all, you asked the question about competitive but I would first contradict that they are very tenacious partners with both Cisco and with Duo. Duo, they delight in a seamless integration with Duo on their platform. They delight in a very seamless integration with Cisco, their firewall products. So, we're very, very joyful with those partnerships and those continue to exist productive.

On the competitive side, they achieve delight in some product overlap with Duo and they continue to compete with them. And I arbitrator it's natural that you're going to see, any time there's a mighty acquisition love that, you're going to behold some disruption, in terms of the execution of them independently. And I arbitrator they are seeing that to some degree. But they arbitrator that the partnership will continue and where they compete, we'll compete, and the environment will exist consistent over time. And the mighty picture, there's a lot of value to exist created for customers and we're diligent trying to capture and deliver that as much as possible.

Alex Henderson -- Needham & Company -- Analyst

Just one broader question. So, clearly, as we're touching to a world where the hub of gravity of security is touching out of the enterprise and into the cloud, the architecture of security delivery has to change. And I assume that no sole company is going to exist able to provide the plenary platform. In that environment where we're federating multiple security clouds together, does Okta conclude up being the primary connective tissue between them? And if that's the case, what role achieve you play in the policy piece of that?

Todd McKinnon -- Co-Founder and Chief Executive Officer

Well, I think, if you arbitrator about the definition of the word "platform," at least how they arbitrator about it, a platform, by definition, is a set of underlying capabilities that then other people build on top of to provide the plenary set of value to the ecosystem. So, if you arbitrator of Windows, Microsoft couldn't build every application so they built the Windows platform and then the app developer community built everything the applications. If you arbitrator about -- there's other examples -- iOS, right? Apple couldn't build everything the apps into iOS so they opened up this platform and the app store and then developers built it.

So, when you contradict the entire security ecosystem, they absolutely agree. They arbitrator that no one company can build it all. It's everything about choice for the customers. But then you accumulate down to what is the platform and what is the privilege thing to pivot off of to exist the basic thing you exigency to delight in a wield on but then other people could build around? And for us, that's identity. They arbitrator by being the system of record for identity, they can exist the foundational platform and other people can build around us. So, the pass they arbitrator about the world is we're the identity platform and then everything these other adjacent categories will plug into us and provide the "applications" for their platform. So, that's how they arbitrator about the world. And if you arbitrator about looking at how we're investing in the product, it's consistent with that.

Frederic Kerrest -- Co-Founder and Chief Operating Officer

I think, Alex, just to add on that, you behold that too from a customer perspective. I mean, what they contradict is they're very excited about a lot of the advanced integrations that they delight in in the Okta Integration Network because it allows them to leverage the investments that they've made -- for example, in Palo Alto Networks -- accumulate it pre-integrated with Okta and that pass they can accumulate more value out of both of the solutions. The Palo Alto Networks firewall can talk to Okta and back and forth. So, you actually accumulate more information by connecting them.

In fact, they delight in a number of -- and I behold this more and more with their big enterprise customers. A friendly instance is a big monetary institution, I arbitrator in Texas, was the first one to achieve this. They are now actually writing into everything of their modern technology contracts that the solutions they're buying must exist pre-integrated to Okta. So, what you're getting is not only the existing technology vendors know that they exigency to ally but the next generation of security vendors are coming to us and saying, "Clearly, you're the modern identity standard. This sole identity platform, it's foundational. They want to obtain sure we're pre-integrated to it." And you really behold that flywheel spinning, which I arbitrator is going to exist very exciting for customers' success in the times ahead.

Operator

Next, we'll hear from Richard Davis with CG Financial.

Richard Davis -- Canaccord Genuity -- Analyst

Thanks. So, maybe I'll pilfer a remix on Sterling's question a diminutive bit. So, when achieve you guys arbitrator we're going to accumulate to the point where you and maybe another modern security vendor or two will allow chief security officers to rescue money and benign of de-provision or discontinue spending on security systems that -- when I talk to these guys and gals, they're just like, "We know we're over-insuring with stuff that's repetitively redundant," so to speak. achieve you arbitrator there's a point where they accumulate to that point? Where you can walk in and go, "Look, it's a difficult $1.00 ROI. You can prick off six different things." Thanks.

Frederic Kerrest -- Co-Founder and Chief Operating Officer

I arbitrator that's an challenging question. From their perspective, it's about the choice, right? And it's about the choice to pick the apps, the infrastructure, the platforms, the security tools that are best for the customer. I arbitrator in some cases that's a consolidation of spend around unavoidable vendors. In some cases, it's branching out into modern areas for some business drive or business growth. I arbitrator that the flexibility customer needs -- I think, as many customers I talk to that want to consolidate and prick down on vendors, many more are branching into modern areas and want to expand. So, I arbitrator it's got to delight in flexibility to fade both ways.

But I achieve arbitrator that you delight in to -- and I arbitrator you behold this in everything the super successful companies. You delight in to manage something that is something that the customer can pivot around, whether it's -- with us, it's the person and the identity. With other vendors, it's different things. But we're very confident that their strategy of being the system of record for identity is the privilege strategy and give customers the flexibility to pilfer the technology in the pass it needs to exist best for them.

Richard Davis -- Canaccord Genuity -- Analyst

Got it. And then just a quick follow-up. So, we've seen identity management benign of evolve from password reset companies to multifactor to adaptive MFA. So, delight in you guys ever said how much penetration the -- whatever, the highest fraction of Maslow's Hierarchy of Identification is there? Is it 10%? Is it 5%? I mean, I know you're at the foothills. delight in you looked at that on that basis at everything or not?

Frederic Kerrest -- Co-Founder and Chief Operating Officer

I arbitrator it's -- I don't delight in the numbers. I arbitrator it's -- my impress from customers I talk to and so forth, the super sophisticated machine-learning driven is very, very rare. I arbitrator most customers are trying to accumulate things integrated and accumulate the privilege security policy on the privilege resources. I arbitrator the vow is, longer term, more autonomous, more machine learning character things, benign of the truly adaptive for everything. But most customers just want the flexibility to connect everything their technology and then achieve policies preempt for the privilege resources based on the risk level. And I arbitrator that people know it's a friendly idea. The intuition it's difficult is because stuff's not integrated. And one of the things we're doing is trying to bring that pre-integrated approach to it with the Okta Integration Network. And they arbitrator if they can integrate everything, they can give customers basically a fighting desultory to achieve the privilege policy on the privilege resources and that's going to obtain things much better, in terms of ease of use for the users but too for security.

Operator

We'll now hear from Heather Bellini with Goldman Sachs.

Heather Bellini -- Goldman Sachs -- Analyst

Great. Thank you so much for the question. I had two for you guys. I guess the first one would exist you continue to just delight in a really friendly improvement in the net modern customer count with over $100,000.00 in spending. Ninety last quarter, 100 this quarter. Is something changing in terms of the number of products they might exist purchasing upfront for the first time? Is it potentially that they're just doing larger deal sizes of a sole product than maybe what you were seeing before? I just was wondering if you could give us some color there.

And then I had a question. I know someone asked about some of the issues that Microsoft had over the last few months. But I was more wondering, when you behold headlines love the one with Marriott last week, does that ever -- achieve you behold breaches love that ever causing benign of a spike in deal activity or at least RFPs for you guys? Thank you.

Frederic Kerrest -- Co-Founder and Chief Operating Officer

Thanks, Heather. I'll pilfer the first question regarding what we're seeing in that momentum. I arbitrator it's a pair of things. First of all, obviously, we're very fortunate in that we're addressing two big markets: workforce identity management and customer identity management. So, what you behold is you behold customers that can now start in either of those big two markets with any of their five different products. And as you start working with larger and larger organizations, whether they're governmental organizations or private companies, they find more and more ways to use the product. So, they could start, for example, with Multifactor Authentication for a customer situation and then they could find ways to deploy it internally for workforce. So, there's a lot of points where they can land and expand.

No. 2, I arbitrator you're starting to behold us just -- there's a natural momentum between, as they roll out 40 modern releases a year in their agile software development model, there's a lot more features and functions coming everything the time and there are more and more advanced use cases they can back customers address. At the very time, you're starting to behold larger and larger enterprises turning around and saying, "We are going to delight in a cloud-first approach." last week when I was in Europe, I recollect meeting with a big utility a pair of years ago and they said, "We're never going to delight in anything in the cloud." And that very utility, one of the largest utility companies in Europe, started the conversation last week with, "We now delight in a cloud-first mandate across the business."

And so you're just seeing much larger organizations motto they delight in to accumulate on this journey to the cloud. They delight in to undertake a digital transformation. And so the convergence of us being able to provide more solutions for them and the enterprise finding more and more ways to leverage the service, I arbitrator is what you're starting to behold drive those results. By the way, that's the very intuition that organizations love Deloitte are finding more and more interest in working with us because, obviously, they're working with the largest organizations in the world. What I would say, though, is it's very early. So, I arbitrator that, in this transformation, their best days, by far, are ahead of us in helping these big enterprises. We're very joyful with the results they delight in but I arbitrator that it's going to exist very exciting in the times ahead.

And then on the second piece regarding Marriott specifically. They can't point to anything this week, where there are more inbound phone calls from organizations looking for that. Certainly, it is ill-fated whenever you read one of those headlines for those organizations because it's a very tough position to exist in.

But, yes, I arbitrator it highlights a pair of things. First of all, it highlights the fact that every company has to arbitrator about how they're going to modernize their technology and how they're going to prioritize security in a modern way. Whether you're a high-tech company, whether you're a retail company, whether you're in the hospitality industry, it applies to every organization.

No. 2, I arbitrator it too highlights what they everything know, which is there's a significant dearth of advanced software developers in the world, in North America, and specifically in security, and you can imagine that for a lot of these big companies, it's difficult just to attract everything of these advanced security software developers to their company.

And then, finally, identity is only now starting to become the center. People are now starting to near around to the fact that it is so critical. But it's pilfer a while and, certainly, a lot of these companies delight in had these resources available. So, Marriott's been out there with their programs for many, many years. Now it's time to modernize them.

I arbitrator I would just point to what they just said with the Albertsons customer press release that went out today as well. A very friendly instance of a company that's been around 80+ years. They've had loyalty and rewards programs for a long time. But they realized it's time to modernize and so they started working with us a pair of quarters ago and today there's 30 million consumers accessing Albertons, Safeway, and everything of their customer identity management resources on a weekly basis. I arbitrator those are the kinds of trends that you're going to behold more and more of in the times ahead and, certainly, they arbitrator that we're very excited about the opening to back a lot of customers with those opportunities in their businesses.

Heather Bellini -- Goldman Sachs -- Analyst

Great. Thank you very much.

Operator

Next, we'll hear from Shaul Eyal with Oppenheimer.

Shaul Eyal -- Oppenheimer -- Analyst

Thank you. friendly afternoon, guys. Congrats on another set of tenacious results. I want to actually palpate on --

Todd McKinnon -- Co-Founder and Chief Executive Officer

Thank you, Shaul.

Shaul Eyal -- Oppenheimer -- Analyst

Absolutely. Absolutely. I wanted to interrogate about some of the clients and contract announcements you've made, probably starting with Albertson. It appears to exist a sizable customer. I arbitrator you indicated 30 million customers/users, from their perspective, interacting on a weekly basis. Was that a displacement? Probably not but just want to hear your thinking about it. And too maybe talk to us, Todd or Freddy, about the process, maybe the timeframe it took from POC to PO and probably what are the other long-term opportunities you can behold with this specific client? And then I delight in a question on the status Department contract. Thank you.

Frederic Kerrest -- Co-Founder and Chief Operating Officer

Yeah, absolutely. Thanks for the question, Shaul. I'll start with Albertsons. So, your first question was about what they displaced there. I mean, Albertsons, love a lot of big organizations, has been built up over the years through M&A. Right? So, if you look, they have, today, dozens of different properties in food and drug retail. And so as these different organizations delight in evolved and as Albertsons has rolled up more and more of these different brands, each of those different companies has near with their own set of infrastructure. So, in fact, there was legacy infrastructure but not just at Albertsons proper. At Safeway and at everything the other brands. And so what you delight in is this sprawl where they delight in many different installations. Some of them might exist homegrown. Some of them might exist a CA. Some of them might exist an Oracle or IBM.

And so what happens is you, as an conclude customer, it's a infamous suffer for you because you might delight in an Albertsons login and a Safeway login. You don't accumulate the value across both of them. They don't know what you're doing. And then at Albertsons, obviously, they want one view of you so they know where you're purchasing across everything their properties, both on the web, on the mobile, physically inside the stores. And so by transforming across everything those different pieces of on-prem infrastructure, touching to a centralized cloud platform love the Okta Identity Cloud, putting everything of those different resources inside one central database -- they're using their Okta Universal Directory -- and allowing their customers to delight in a much more seamless experience, it's enhancing the customer experience. But also, obviously, on the back end, providing Albertsons with much better visibility into what their customer is doing across everything these different properties. And that is the upright value.

So, absolutely, they did displace legacy technologies but it wasn't just one piece. It was, undoubtedly, many pieces that they were having a lot of danger federating because they've been around for 10, 15, 20 years and inside different data centers and it gets very, very complicated.

On your second question around the time to toil with the customer, I arbitrator you'll probably exist pleasantly surprised. Albertsons has been a customer of ours for less than four quarters. I can fade back and glance exactly but, certainly, I arbitrator it was since the birth of this fiscal year where they signed up. And I arbitrator that time to value is something that you really only accumulate with a modern cloud platform. The fact that they were able to rollout 30 million customer visits on a weekly basis across everything these different myriad properties, both physically, both on the web, on mobile applications, and the fact they were able to achieve that in a matter of a pair of quarters, that's how you accumulate this customer success.

And it's because of the foundational platform that they delight in in there that you start seeing -- they accumulate very quick ROI. The TCO is easily understandable. And very quickly, they fade from us helping them decipher one specific problem, where they become then the identity yardstick and they become pervasive across their entire organization. And identity really becomes this foundational platform they accumulate a lot of solace around and they can build on. So, that's specifically around Albertsons.

I believe you too had a question -- you said a follow-up question around the status Department?

Shaul Eyal -- Oppenheimer -- Analyst

Freddy, thank you. This is really great, mighty color. And probably on the status Department, that comes under the federal vertical. Talk to us a diminutive bit maybe specifically about this product, this contract, but too how achieve you behold the opening on the federal vertical and what are you guys doing to probably accelerate that? Without a doubt, I would imagine such a contract should entice and accelerate the appetite to achieve much more. You accumulate the status Department, you know these guys, they everything talk to each other, you can accumulate a mighty reference here and the sky could potentially exist the confine here in the federal vertical.

Frederic Kerrest -- Co-Founder and Chief Operating Officer

I certainly hope that you're right, Shaul. So, we're working on that every day. In the meantime, I'll give you some specific details around that. Look, I arbitrator public sector, very much love the question around partners earlier on the call, this is not something you can whirl on overnight. I mean, this is something we've been working on with a federal team in place, I think, coming over three years now. It's not just at the federal flat but they achieve very well at status and local. And, again, you behold everything sorts of organizations seeing these major imperatives of the journey to the cloud and how they're going to become technology companies.

I arbitrator when you arbitrator about public sector, and the U.S. status Department is one instance -- it's a friendly one, but it's just one instance -- certainly, the federal fiscal year ends in September, which coincides with their Q3 which is why we're not terribly surprised to behold some friendly business from the federal sector as they wrap up their year and they glance to the year ahead.

But I would highlight that we've been working on a lot of the underpinnings for their platform and to obtain it viable and a good, strong, viable, secure, reliable, scalable performance solution for the government agencies for a long time. For example, they delight in been HIPAA compliant for quite some time. They are now already FedRAMP Moderate, certified on the platform. And they too delight in indigenous back for things live PIV and TAC, which allows the government to use a lot of their Okta workforce products.

And then, finally, you behold a lot of mighty initiatives that are happening inside the government. For example, the delight in the Modernize Government Technology Act, which establishes funds to improved federal technology. You too delight in the White House, which is pushing this cloud-smart strategy, which anything that can fade to the cloud should fade to the cloud. And I arbitrator these are just some of the examples of what you see. And, obviously, we're very fortunate that they can back these organizations obtain those moves and we're very joyful with the success we've had.

But, again, I arbitrator the opening in the times ahead is very good. Over the last pair of years, you've seen us toil more and more with government agencies, organizations love the Department of Justice, the hub for Medicare and Medicaid Services, and now the status Department. So, certainly, we're starting to accumulate friendly traction. It's valuable to obtain these customers successful, which they do, but we're very excited about the opening ahead and I arbitrator it's, again, very early days and we're excited about what they can possibly achieve in this segment.

Operator

Next, we'll hear from Pat Walravens with JMP Securities.

Patrick Walravens -- JMP Securities -- Analyst

Great. Thank you very much and let me add my congratulations. Hey, Todd, can you walk us through, just sort of at a lofty level, the steps that you're taking to obtain sure infamous guys don't breach the Okta network?

Todd McKinnon -- Co-Founder and Chief Executive Officer

Yeah. I mean, it's a mighty focus for us. First of all, the main thing that customers -- when customers arbitrator about Okta, the main thing that they are trying to decipher for is combining both ease of use for their conclude users and security for their own applications and services. So, they behold Okta as a pass to obtain their own technology more secure. And whether it's making sure that accounts are provisioned at the privilege time, making sure that the privilege people actually delight in access to the privilege services at the privilege time, making sure that there's the privilege amount of authentication, whether it's a sole password, whether it's multifactor, whether it's a unavoidable policy, everything that makes a tremendous amount of improvement in how things are simple to use and then how things are secure. And if they're pile a customer-facing site or mobile app, you're doing everything of that while, at the very time, increasing their time to value and the productivity of their developers that they delight in to spend and build that thing.

So, obviously, the foundation of everything that is that the Okta service itself is secure. And that's what we've hung their hat on. And by investing a tremendous amount in the basic architecture, the processes and procedures, the technology reviews, the redundancy, it's something that it has to exist built in from the ground up. It has to exist consistently followed for years and years and years. It has to exist fraction of the culture. It's something that's very, very difficult to replicate.

And it's not only a technical thing but it's too a communication thing. And they delight in this conversation with customers. And so there's a customer that's learning about us for the first time or whether it's a customer that's expanding their usage with us, we're very friendly at talking to them about this in a very open and transparent pass so they can understand what they do. They can understand how they mitigate risk and they can understand why it's benign of difficult to replicate and something that's very valuable to them as they try to transform their technology.

Operator

Next, we'll hear from Gray Powell with Deutsche Bank. Mr. Powell, your line is open. If you are using a speakerphone --

Gray Powell -- Deutsche Bank -- Analyst

Sorry, can you hear me?

Operator

Yes, they can hear you now.

Todd McKinnon -- Co-Founder and Chief Executive Officer

Hey, Gray. loud and clear.

Gray Powell -- Deutsche Bank -- Analyst

All right. Hey. Thanks. Yeah, I'll exist quick. So, it definitely seems love you everything delight in seen an uptick in the adoption of MFA this year. Just ballpark, where achieve you arbitrator overall industry adoption is or what stage achieve you arbitrator it's in? And then how achieve you feel about the growth of the product set over the next 12 months versus the last 12? Thank.

Todd McKinnon -- Co-Founder and Chief Executive Officer

I arbitrator Multifactor Authentication is -- the stage it is is that everyone knows it's a friendly idea. I arbitrator it's still too difficult to roll out, in general. I arbitrator we're trying to obtain it easier by making it pre-integrated, by connecting it to their policy engine, by delivering it as a cloud solution. So, we're getting better but I arbitrator there's a lot of -- the industry as a all has to budge from "everyone knows it's a friendly idea" to having benign of this broadly deployed multifactor connected to a policy engine and we're trying to help.

I arbitrator product innovation is captious to us and we're very excited about what's ahead for us in terms of product innovation and releasing modern capabilities. And we're going to delight in -- I inspirit everyone to stay tuned. They delight in their customer conference coming up in just three and a half months and we'll delight in a ton of announcements there.

Operator

We'll now hear from Jonathan Ho with William Blair.

Jonathan Ho -- William Blair & Co. -- Analyst

Hi. friendly afternoon. I just wanted to start out with maybe the international opening and maybe where you behold the most opening to leverage investments, as well as maybe how the challenges vary in the international markets.

Frederic Kerrest -- Co-Founder and Chief Operating Officer

Yeah, sure. Hi, Jonathan. Nice to hear from you. joyful to chat a diminutive bit about that. I arbitrator the first thing is we're very excited about the opening in international and I arbitrator that you're starting to behold the results speak for themselves. That business is growing and it's growing fast. I arbitrator there's a lot of opportunity, in terms of not only the customer interest for what they achieve but too in working with a lot of these channel partners because those markets are much more fragmented. Obviously, you delight in dozens of countries in Europe. Asia Pacific is the same.

And so to the question about partners that they had earlier, one of the things that we've spent a lot of time on over the last 12-24 months is really making sure that they delight in the privilege ally programs with the privilege incentives making it very simple for their partners to adopt their products and back dispense them in the market. I arbitrator you're going to behold more and more of that. We've also, historically, made the privilege investments ahead of time that I arbitrator are now bearing fruit. So, for example, they delight in had data centers in Europe where they can sail over data to a second data hub in Europe without ever coming to North America. That's a solution that's been out there for quite some time. We're in the process of implementing the very in Asia Pacific to, again, give customers the solace that they can retain their data in region if they're interested and, again, with very lofty levels of control, security, reliability, availability. And I arbitrator some of those things are very important.

At the very time, you've too seen us continue to invest in expansion of their offices. Their office in London has continued to grow over the last four or five years and we've continued to pilfer on more office space there with opportunity. I mentioned that they opened, formally, their Paris office last week. We've had an office in Sydney for some time and we're continuing to invest there. So, I arbitrator the opportunities in international are early. They're exciting, they're big, and they're huge opportunities for us in the years ahead.

Operator

Our final question will near from Rob Owens with KeyBanc Capital Markets.

Rob Owens -- KeyBanc Capital Markets -- Analyst

In under the gun. I benign of feel love now I can pilfer as long as I want too. friendly afternoon, guys.

Todd McKinnon -- Co-Founder and Chief Executive Officer

The floor is yours, Rob, the floor is yours.

Rob Owens -- KeyBanc Capital Markets -- Analyst

I want to drill down a diminutive bit into the international monetary services win, both on the workforce ID side and the customer ID side. Just, relatively, where are you getting more dollars? Is it on the workforce side or the customer side, as you behold some of these guys champ on both sides of the apple?

Frederic Kerrest -- Co-Founder and Chief Operating Officer

Yeah. joyful to talk about that, Rob. I arbitrator one thing they should talk about is what's happening today and then I arbitrator they should talk about the trends and what they behold happening in the future. Look, today, and as evidenced by their business, they started with workforce identity management. So, we're coming up on wrapping up their tenth year of business, which is great. Their first five years of business, they basically only had a workforce identity management product.

Now, why is that? Well, workforce identity, formerly known as enterprise identity, is something that's well known. It's been in the industry for 20, 25 years. Legacy software vendors, Oracle, IBM, CA, delight in had solutions here for the days of homogeneity when you were an IBM shop or an Oracle shop. And so it was a well-understood exigency as they came into the market. So, if you glance at their first 1,000 customers, everything they could buy, actually, was workforce identity. Now, that's mighty and that's going to continue to grow and that's a mighty market and we're barely scratching the surface and you're going to behold more and more workforce identity business in the years ahead.

What's happened over the last few years is customers delight in started to say, "Hey, I built this customer identity management infrastructure myself in the past. It's getting complicated." They talked about examples love Marriott. Security is important. Password reset flows, registration across devices, multiple email addresses. These are very intricate pieces of technology for companies to build themselves so they've started using solutions love what they have, the customer identity and access management in the Okta Identity Cloud. So, it is a newer fraction of their business. Right? too growing very quickly.

But what's exciting is, in the times ahead, if you arbitrator about a big organization love Dignity Health, which is a customer of ours, they can back them with their workforce, obviously, which is tens or maybe hundreds of thousands of employees in unavoidable cases. They delight in a set of products that are very well-suited. There's a lot of use cases for them. But on the customer identity side, as they station more and more online, as they digitize more and more of their business, there's more and more constituents that an organization love Dignity Health needs to interact with.

For example, they could delight in patient portals that you and I fade and pay their bills on. They could delight in physician portals, where physicians near and accumulate information on patients. They could delight in vendor or supplier portals, where they talk about their supply chain. So, whereas an organization could delight in one big workforce opening for us to back them with, they could start to develop more and more of these customer identity management opportunities as well. And that's why I arbitrator you behold that people delight in very friendly ideas on how big the market is for workforce, which is very large, and they're starting to develop those ideas around customer identity management.

So, that's a long-winded pass of saying, today, customers can land with either workforce or customer identity with either of their five products. They find ways to cross-sell and upsell themselves because of their very lofty customer dollar groundwork net retention rate of 120%. But in the times ahead, I arbitrator it's a toss-up on which of these two big markets are going to continue to grow faster. A lot of opening and, obviously, they want to exist there to back the customers with either one. It's certainly something that we're going to continue to retain an eye on in the times ahead.

Operator

That will conclude today's question-and-answer session. I will now whirl the conference over to Todd McKinnon for any additional or closing remarks.

Todd McKinnon -- Co-Founder and Chief Executive Officer

So, they cherish the time today. They are excited about their progress this year but the most exciting thing for us, I think, is that we're still very early in these mighty trends. This trend of cloud adoption, we've been talking about it for a long time but when you glance at organizations around the world, whether they're big companies, governments, international markets, cloud is a mighty transformation that's going to pilfer many, many years ahead. And we're going to exist there to back customers along the way. very with digital transformation. That's a continuously evolving thing and we're very excited that identity is the core of that and it's going to exist a growth driver for years ahead. And, finally, security just is timeless. So, while we're excited about the results, we're more excited about the future potential and working difficult every day to obtain sure they capitalize on this. So, thank you very much for your time and they glance forward to seeing you on the road or talking to you on the next quarterly call.

Operator

That will conclude today's conference call. Thank you for your participation. You may now disconnect.

Duration: 67 minutes

Call participants:

Catherine Buan -- Vice President of Investor Relations

Todd McKinnon -- Co-Founder and Chief Executive Officer

Bill Losch -- Chief monetary Officer

Frederic Kerrest -- Co-Founder and Chief Operating Officer

Sterling Auty -- J.P. Morgan -- Analyst

Terry Tillman -- SunTrust Robinson Humphrey -- Analyst

Alex Henderson -- Needham & Company -- Analyst

Richard Davis -- Canaccord Genuity -- Analyst

Heather Bellini -- Goldman Sachs -- Analyst

Shaul Eyal -- Oppenheimer -- Analyst

Patrick Walravens -- JMP Securities -- Analyst

Gray Powell -- Deutsche Bank -- Analyst

Jonathan Ho -- William Blair & Co. -- Analyst

Rob Owens -- KeyBanc Capital Markets -- Analyst

More OKTA analysis

This article is a transcript of this conference convoke produced for The Motley Fool. While they strive for their silly Best, there may exist errors, omissions, or inaccuracies in this transcript. As with everything their articles, The Motley Fool does not assume any responsibility for your use of this content, and they strongly inspirit you to achieve your own research, including listening to the convoke yourself and reading the company's SEC filings. please behold their Terms and Conditions for additional details, including their Obligatory Capitalized Disclaimers of Liability.

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Motley Fool Transcription has no position in any of the stocks mentioned. The Motley Fool owns shares of and recommends Okta. The Motley Fool has a disclosure policy.



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