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000-M90 IBM Content Analytics Theory Technical Mastery Test v1

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000-M90 exam Dumps Source : IBM Content Analytics Theory Technical Mastery Test v1

Test Code : 000-M90
Test cognomen : IBM Content Analytics Theory Technical Mastery Test v1
Vendor cognomen : IBM
: 49 true Questions

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IBM purged ‘gray hairs’ and ‘ancient heads’ as it launched ‘Millennial Corps’ | killexams.com true Questions and Pass4sure dumps

during the past 6 years on my own, IBM has discharged over 20,000 U.S. personnel who endure been at least forty years historic.

Written by means of The associated Press

technology capacious IBM centered “gray hairs” and “historic heads” for baleful performance stories so it may oust them from the company, because it fashioned a “Millennial Corps” and focused on hiring “early professionals,” a new age-discrimination lawsuit claims.

“during the past six years by myself, IBM has discharged over 20,000 U.S. personnel who endure been as a minimum 40 years ancient in pursuit of a corporation-wide celebrate of the consume of compelled neighborhood terminations, referred to as ‘resource movements,' to achieve its flush of removing older personnel from its labor force,” observed the lawsuit filed Wednesday with the aid of 4 former IBM personnel. Three of them labored on the enterprise for greater than three a long time, and one for greater than 10 years, the swimsuit spoke of. entire endure been over 55 once they endure been sacked in may 2016, according to the swimsuit.

The swimsuit alleged that IBM required employees to submit claims of age discrimination to binding arbitration, however additionally banned them from collective arbitration over such claims.

IBM referred to in an emailed remark that the plaintiffs' theories had been rejected via courts together with the U.S. Supreme court. “we are confident that their arbitration clauses are criminal and appropriate,” the company observed. The company delivered that a body of Supreme court circumstances upholds arbitration agreements.

The purported purge entire started in 2014, with the solid conducting a contrivance to repair its “seniority combine” by imposing an “aggressive performance management posture,” the suit filed in federal court docket in long island alleged. One in-house presentation confirmed that this attitude meant doubling the percentage of people receiving terrible performance opinions, so three,000 employees can subsist laid off and replaced with “early specialists,” the suit claimed.

“In 2015 and 2016, IBM doubled down on its efforts to substitute its lengthy-tenured, older personnel with the more youthful Millennials it sought to recruit,” the jog well with alleged. “IBM made presentations to its senior executives calling for IBM to evaluate its lengthy-term employees extra harshly, to consume those negative opinions to justify selecting long-time era personnel for lay-off, and to supersede these personnel with ‘EPs' — IBM administration short-hand for ‘early experts.'”

A 2016 presentation regarding one component of the industry “especially referred to as for managers to exempt entire ‘early professional hires' from layoff, despite efficiency,” the suit claimed. “The lengthy-serving, older employees had been supplied no such exemption.”

the previous employees suing IBM — Steven Estle, Margaret Ahlders, Lance Salonia and Cheryl Witmer — alleged the enterprise in 2014 begun downgrading their annual efficiency scores, so they entire started receiving worse evaluations than in outdated years. when they had been fired in 2016, IBM falsely characterized their departures as retirements, the jog well with claimed.

additionally nascence in 2014, IBM begun traumatic that laid-off worker's waive their commandeer to collective motion, the jog well with alleged. personnel had been offered severance value a month's revenue, carrying on with health and lifestyles assurance insurance for a duration reckoning on time with the company, free profession counseling and as much as $2,500 for odds training, the suit mentioned.

however workers would not receive any of those advantages if they did not mark an shrink now not to deliver age-discrimination claims jointly, even in arbitration, the jog well with claimed. by artery of this arrangement, IBM sought to deprive employees of the economies and merits of pursuing legal motion together, and “as an alternative to tribulation them with the limitations and costs of bringing particular person movements challenging the identical discriminatory practices in clandestine arbitrations wreck away each other,” the swimsuit alleged.

“With misgivings, but dealing with the desultory of a difficult job search and economic hassle, each and every Plaintiff reluctantly signed the waiver,” the swimsuit said.

The jog well with took purpose at a 2006 IBM inner file on employee demographics that purportedly known as older employees “gray hairs” and “old heads,” and concluded that younger people had been “frequently a lot greater innovative and receptive to know-how than baby boomers.”

In 2014, IBM launched a blog referred to as “The Millennial event,” the swimsuit pointed out. The solid also created “Millennial Corps,” a network of youthful workers to subsist consulted through senior leadership about industry choices, in line with the jog well with.

The swimsuit stated a presentation given at a 2014 IBM event, wherein slides shown allegedly indicated that Millennials exhibited attractive travail traits comparable to trusting facts and making choices through collaboration, whereas laborers over 50 had undesirable attributes akin to being “greater dubious” of analytics, putting “much less inventory in records” and being less stimulated to consult colleagues.

The swimsuit draws closely from outcomes of a ProPublica investigation published in September that talked about IBM seemed to subsist winding down the Millennial Corps, because it was stated in a number of prison actions as proof the company was biased in opposition t younger laborers.

The plaintiffs are seeking a court invalidating IBM's waiver in opposition t collective action, a ruling that the subsist counted jog to collective arbitration, and unspecified economic relief.

©2019 The Mercury information (San Jose, Calif.)

visit The Mercury tidings (San Jose, Calif.) at www.mercurynews.com

dispensed through Tribune content material company, LLC.


Potentia Analytics pronounces Appointment of Account executive with career history at IBM | killexams.com true Questions and Pass4sure dumps

(MENAFN - PRLog) Potentia AnalyticsTM, Inc. the resourceful utility company commonplace for patient jog Optimization, smart issuer Scheduling, and Predictive Analytics for strategic decisions has introduced the appointment of Tracy Schweitzer as an Account government. She might subsist liable for entire direct and channel revenue efforts entire through the company with a focus on increasing the healthcare software solutions suite. The options suite offers a unique abilities to the healthcare sector through using synthetic intelligence, data mining, computing device learning and video game theory as main-edge options that drive resolution making, efficiency and profitability for his or her shoppers.

Tracy is an executive revenue expert with a confirmed song record of supplying profits increase. Her journey spans over 30 years within the company world at American categorical and IBM. At American specific she led teams to power incremental revenue and customer pride, through American specific' fiscal solutions, within Fortune 1000 agencies. ahead of joining American express in 2011, Tracy had a 22+ yr profession with IBM in revenue (international and home) and sales administration promoting IBM's all software portfolio of options to small, medium and commercial enterprise groups.

"The greatest asset I deliver to the table is building and conserving astounding a success relationships with both shoppers and internally. I endure a proven skill to engage note customers' strategic company targets, establish needs and maneuver alternatives to closure. privilege through my career, my success has approach from my effective will to win. I look forward to continuing this could to win with Potentia AnalyticsTM!"

all over her career, Tracy has offered to many industries including healthcare. She earned a Bachelor of Science diploma on the tuition of South Dakota. Reflecting on her excitement for the opportunity, Tracy brought up, "i am delighted to combine Potentia AnalyticsTM and subsist fraction of such an exhilarating crew! i am alive to for working with every and every grownup and aid develop the enterprise."

"we are extremely excited to endure Tracy subsist a fraction of their crew. They believe that her background, erudition and skill will succor their corporation attain their desires and raise us to new heights. As their company grows, they can proceed so as to add adept people to their increasing team. Tracy has an in depth sales history, a aggressive character and a necessity to win. They look forward to the partnerships she will uphold us create." Bonnie Kucharski, VP of Operations

Potentia's growing industry attain includes hospitals, imperative reliance amenities, emergency administration groups, healthcare programs, lean consulting businesses/groups, outsourced issuer administration businesses and nurse staffing companies among others.

Press Contact:

Potentia Analytics™

Tavia Vasicek, 1.618.505.2001, ext. 105

Potentia Analytics Inc. | issuer Scheduling, patient circulate Optimization & Predictive Analytics ( https://www.potentiaco.com/ )

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Potentia Analytics Announces Appointment of Account Executive with Career History at IBM

purchase IBM for cost positive aspects and Dividend | killexams.com true Questions and Pass4sure dumps

IBM Corp.  (IBM - win document) is the most beneficial-performing component of the Dow Jones Industrial common up to now in 2019 and has the highest dividend capitulate of four.70%. This member of the 2019 "dogs of the Dow" closed terminal week at $139.forty six, up 22.7% 12 months to this point and in bull market territory 31.6% above its Dec. 26 low of $105.94. The stock is low-cost with a P/E ratio of 10.09, in accordance with Macrotrends.

My call to purchase IBM is supported with the aid of its every day chart, which indicates that a formation of a "golden pass" appears tremendously workable this week. A "golden move" happens when the 50-day simple stirring uninterested rises above its 200-day elementary relocating universal to point out that larger prices palter ahead. The weekly chart is effective however overbought and the inventory appears poised to upward thrust to its 200-week fundamental stirring uninterested at $149.34, which I account a recur to its "reversion to the imply."

The "reversion to the imply" is where a stock should quiet subsist trading given entire primary counsel about the company. As a market technician i accord with this to subsist the 200-week primary relocating usual.

IBM may quiet subsist considered a play on the theme that "everything ancient is new again." The enterprise has a string of 17 consecutive quarters of beating analysts' salary-per-share estimates. during the fourth-quarter endure market, IBM gapped lower on susceptible income tips on Oct. sixteen. Then on Jan. 21, the stock gapped higher on an improved-than-anticipated outlook.

once I graduated from Georgia Tech in 1966 as an Industrial Engineer, my first job turned into at Grumman in Bethpage, new york. whereas getting my grasp of Science degree at Brooklyn Poly, I taught myself how to application in Fortran. I took over a software used in manufacturing engineering and had entry to IBM 360 mainframe computers both at travail and at school. The concept of the historical mainframes is now new again as IBM's cloud computing is on mainframes now not a farm of servers. I exclaim that here is a extra secure platform. This platform could subsist superior as the industry integrates offerings based mostly upon IBM's acquisition of crimson Hat Inc. (RHT - win report) . What makes IBM new once again might subsist the building AI applications in line with the Watson platform and aggressive choices in facts evaluation, cell applied sciences and safety.

The each day Chart for IBM

Courtesy of Refinitiv XENITH

Let's appear on the daily chart for IBM because its Dec. 26 low of $one hundred and five.ninety four. That day become a "key reversal" as the day's shut at $111.39 was above the Dec. 24 exorbitant of $111.00. This signal verified a tradeable rally. The nigh of $113.67 on Dec. 31 become enter to my proprietary analytics and resulted in semiannual and quarterly pivots at $126.75 and $122.49, respectively, and in an annual Dangerous flush at $166.09. word how the quarterly stage of $122.forty nine provided a buying possibility on Jan. 22. The shut of $138.13 on Feb. 28 became an input to my analytics and resulted in a monthly value degree at $128.forty five. subsist alert how the 50-day touchstone stirring common at $134.ninety five is rising toward its 200-day touchstone stirring common at $a hundred thirty five.61. When the 50-day crosses above the 200-day, a "golden move" might subsist verified and testify that greater expenditures will follow.

The Weekly Chart for IBM

Courtesy of Refinitiv XENITH

The weekly chart for IBM is positive however overbought with the inventory above its five-week modified stirring common of $136.32. The stock is under its 200-week essential relocating regular or "reversion to the imply" at $149.35 terminal proven privilege through the week of Oct. 5 when the regular was $153.sixty six. The 12x3x3 weekly gradual stochastic reading is projected to upward thrust to 91.eighty three this week up from 91.forty three on March 22. This studying is smartly above the overbought threshold of eighty.00 and the analyzing above 90.00 makes the inventory an "inflating parabolic bubble."

buying and selling strategy: purchase weakness to the 200-day essential relocating universal at $135.61 and lop back holdings on electricity to the 200-week touchstone stirring habitual at $149.35.

the artery to consume My cost tiers and risky tiers:

cost tiers and harmful levels are based mostly upon the remaining 9 weekly, month-to-month, quarterly, semiannual and annual closes. the primary set of ranges became in response to the closes on Dec. 31. The long-established quarterly, semiannual and annual levels stay in play. The weekly flush adjustments every week; the monthly stage became modified at the conclusion of January and February. My understanding is that 9 years of volatility between closes are ample to anticipate that every one viable bullish or bearish pursuits for the stock are factored in already. To trap partake expense volatility, investors should purchase on weakness to a value stage and in the reduction of holdings on power to a harmful level. A pivot is a price flush or risky stage that changed into violated within its time horizon. Pivots act as magnets which endure a exorbitant probability of being confirmed once again earlier than its time horizon expires.

how to consume 12x3x3 Weekly leisurely Stochastic Readings:

My option of the usage of 12x3x3 weekly leisurely stochastic readings become according to back-trying out many strategies of studying share-expense momentum with the goal of finding the aggregate that resulted within the fewest False indicators. I did this following the stock market crash of 1987, so I actually endure been chuffed with the effects for more than 30 years. The stochastic studying covers the final 12 weeks of highs, lows and closes for the inventory. there is a uncooked calculation of the changes between the highest exorbitant and lowest low vs. the closes. These levels are modified to a posthaste reading and a leisurely reading and that i discovered that the sluggish studying worked the most excellent. The stochastic reading scales between 00.00 and one hundred.00 with readings above 80.00 regarded overbought and readings below 20.00 regarded oversold. recently, I mentioned that shares are inclined to peak and decline 10% to 20% and more shortly after a studying rises above 90.00, so I cognomen that an "inflating parabolic bubble" as a bubble at entire times pops. I also call a studying beneath 10.00 as being "too low priced to ignore."

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How To select The Best Master’s Degree For You | killexams.com true questions and Pass4sure dumps

More and more industry schools are offering industry masters degrees, from generalist programs in management to specialized master’s offerings covering topics fancy accounting, data analytics, finance, and marketing.

With so many options out there, choosing the best master’s degree to suit your career ambitions can subsist a challenge.

Before applying, candidates should know the answers to the following questions: Who are the different master’s programs for? What jobs accomplish they lead to? What accomplish you study on the course? What accomplish you necessity to know to win accepted?

To respond those questions, they spoke with students and faculty from five of the most common industry master’s degree options at some of the world’s leading industry schools.

Read on to find out how to select the best master’s degree for you.

You can find out more about the master’s degree that interests you most by clicking on one of the links below.

Masters in Accounting

Masters in Analytics

Masters in Finance

Masters in Management

Masters in Marketing

Find out more about industry master’s degrees via webinar

Masters in Accounting

Find out more about Masters in Accounting via webinar

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Dr Wang Jiwei, MSc in Accounting director at Singapore Management University (SMU)

Who is a Master’s in Accounting for?

Our Master of Professional Accounting (MPA) is designed to create a pathway for non-accounting graduates working or seeking to travail in a bailiwick that requires specialized erudition in accounting.

We also endure a Master of Science in Accounting (MSA) which specializes in data and analytics. It’s designed for students who already endure a background in accounting or industry related disciplines, but wish to further their career and skills set in this data-driven era.

What skills/qualifications accomplish you necessity to apply?

The overall attribute of the applicant determines admission to the program. This would include prior academic performance at university, travail experience, referees reports, interview scores, and GMAT/SMU Admission Test is compulsory.

Applicants must endure adequate background in math. Applicants with post-undergraduate working undergo will endure an added advantage. Applicants to the MSA must also endure a industry or accounting background.

What will you learn on a Master’s in Accounting?

Through the MPA course, students will learn about the three pillars of accounting; the industry fundamentals, accounting core and the professional services which would include the following modules: management accounting, taxation, audit, corporate fiscal management and fiscal accounting.

The MSA equips students with the essential skills to harness data for critical determination making. They learn to fabricate consume of tools such as R, Python, Tableau, and SQL for data analysis, data visualization and data management. They also can learn machine learning techniques, and understand how they can subsist applied to the accounting and finance work.

What jobs can you qualify for after a Master’s in Accounting?

An accounting master’s degree is versatile. Every company needs somebody who is well versed in finance and accounting. Hence, the career of an accountant is not limited to the accounting, banking and finance industry. righteous accountants are in require in every sector.

In the recent years, the role of an accountant has evolved. Many organizations are eliminating manual accounting work, because computers and robots can automatically generate accounting entries.

But at the very time, they also perceive a growing require in other job functions, mainly in the areas of data processing, management analysis and fiscal analysis. In the current market, there is a require for domain experts who understand finance, accounting and data technology and how the systems work.

Top tip for applying to SMU?

What will give their applicants an edge is whether they endure the drive to excel, the gumption to overcome challenges and the fervor to fabricate a meaningful impact through their work.

Master’s in Accounting student mp;A

ry

Ryan Guo Yu Sheng, SMU MSA student (part-time), manager of Global Operating Certificates at Visa in Singapore

Why pursue a Master’s in Accounting?

I endure always been a tech-savvy accountancy graduate, and most of the process and data technology applied in my travail was self-taught and unstructured. After completing a specialist diploma in industry Analytics in 2017, I was looking to further my erudition and build on the basics erudite in that course.

An understanding of data analysis and usage of automation and robotics endure become essential to the modern finance role and this is also fraction of my effort in future-proofing my own career. There is an increasing focus on the application of technology to finance processes and simply relying on their IT colleagues to fill us in on technical developments is a thing of the past.

What advice accomplish you endure for prospective Master's in Accounting students?

A candidate should subsist technically savvy. Dealing with data requires a highly analytical and structured skillset, along with a sense of creativity for data transformation and programming. Having a conceptual understanding of accounting is important.

Masters in Analytics

Find out more about Masters in Analytics via webinar

impp

Crystal Grant, director of admissions (pictured above), and Kalyan Talluri, MSc industry Analytics program director at Imperial College industry School (pictured below)

Who is a Master’s in Analytics for?

There's a huge orbit of Master's in Analytics programs available, which reflects the growing require from candidates and employers for graduates who are able to derive industry insights and competitive odds from capacious data.

Some will subsist aimed at new or recent graduates looking to launch their career, whilst others will subsist suited to professionals hoping to up-skill to progress or change jobs.

What skills/qualifications accomplish you necessity to apply?

Programs vary in the poise of industry versus technical undergo required, but if you endure a fervor for data analytics, quantitative skills and commercial awareness, you should subsist able to find a Master's in Analytics that supports your goals.

Successful candidates to their MSc industry Analytics bring a wide variety of academic and travail experience. They gawk for strong quantitative, communication, problem-solving and team-working skills. A fervor for coding is also important, as the curriculum is very practical and you should subsist ready to learn and consume programming languages.

What will you learn on a Master’s in Analytics?

Masters in Analytics flush to succor graduates and youthful professionals understand the content, relevance, and significance of capacious data problems facing businesses. Their program takes a practical approach including a variety of machine learning, statistical, and operations research techniques.

Students can hope to learn solid technical skills in programming, including R, Python and SQL, data structures, and algorithms. They’ll learn skills in optimization, econometrics and statistics, networks, and machine learning. Industry-specific application is core to the program, and students learn to apply their mastery of tools to true industry problems.

What jobs can you qualify for after a Master’s in Analytics?

The most common destination for their graduates is consulting, however others jog on to travail in technology, FMCG, e-commerce, finance, healthcare, and media. Graduate roles vary depending on candidates’ previous experience, but include positions fancy industry analyst, data scientist and, consultant. Employers include Accenture, Amazon, BCG, eBay, EY, Microsoft, and Revolut.

Top tip for applying to Imperial?

Don’t just list your undergo of coding and programming languages. Highlight your problem solving skills by showing how you’ve applied your technical expertise on enthralling projects. Demonstrating big-picture thinking, commercial awareness, and the talent to articulate involved information in a compelling and accessible artery will succor your application stand out.

impald

Master’s in Analytics student mp;A

Pinelopi Chamalelli, MSc industry Analytics student at Imperial, joining the analytics graduate scheme of a major consulting solid in London after graduation

Why pursue a Master’s in industry Analytics?

Analytics is the future; every industry no matter its size collects more and more data, and desires to utilize them for a more efficient determination making. So, the opportunities they endure after this program are endless not only in terms of quantity but also in terms of variety, since analytics can subsist applied in every lone industry. imp

 What advice accomplish you endure for prospective Master's in Analytics students?

Coding skills or generally the talent to learn a new programming language or a new software package quickly is crucial. Three main programming languages they consume are Python, R, and SQL, since these are widely used in the industry.

Good erudition of linear algebra and statistics also succor a lot. A righteous industry understanding is also crucial for a successful data scientist.

Masters in Finance

Find out more about Masters in Finance via webinar

Diane Jordan, associate director of admissions, MIT Sloan

Who is a Master’s in Finance for? diane-jordan

Our Master of Finance is for individuals interested in learning the fundamentals of modern finance that emphasizes a foundation in how markets work. Students of the program approach from a variety of bachelor’s degree disciplines including business, economics, finance, and significant representation from the issue areas.

What skills/qualifications accomplish you necessity to apply?

We hunt smart, motivated applicants who are passionate about finance. Recent graduates, early career professionals in finance, engineers, mathematicians, physicists, computer programmers, and other high-tech professionals are encouraged to apply.

We gawk for: Success in academic, extracurricular, and professional endeavors; talent to collaborate to accomplish a common goal; talent to inspire others to achieve success; Excellent communication skills; Willingness to hunt alternative solutions to existing challenges; Motivation to pursue goals.

What will you learn on a Master’s in Finance?

You’ll commence with rigorous courses in finance theory, fiscal mathematics, and fiscal accounting. You’ll subsist required to pass the Programming Literacy Test in either R or Python programming languages.

You’ll travail with analytical tools—financial modeling, portfolio and pricing theory, statistics and data analytics, and computational methods—to succor tackle multi-faceted challenges that arise in finance, from capital budgeting and cash flow analysis, to dynamic asset allocation and big-data-based investment strategies, and more.

You’ll engage fraction in project-based courses solving real-world problems with MIT's partner corporations and culminating in presentations to corporate determination makers. You’ll select electives from fiscal technology, to quantitative methods, to economics, to specialized disciplines such as healthcare finance, fixed income, mergers and acquisitions and asset management.

What jobs can you qualify for after a Master’s in Finance?

Jobs at asset managers, consulting firms, investment and corporate banks, brokerage firms, fiscal data providers, ratings firms, hedge funds, venture capitalists, insurance companies, public institutions, fintech, and more—from Fortune 500 companies to leading-edge boutiques.

Companies who endure hired Master of Finance graduates from MIT for each of the terminal three years include Bain & Company, BCG, BlackRock, Deloitte, Morgan Stanley, McKinsey, and Citi.

Top tip for applying to MIT Sloan?

Get to know us and the admissions process through online chats and events to succor you resolve if MIT is a righteous fit.

Master’s in Finance student mp;A

david-mit

David Smadja, student at MIT Sloan, has an tender for an associate position at a major investment bank in New York

Why pursue a Master’s in Finance?

Prior to my master’s, I graduated from a master of applied mathematics. Though I had a righteous understanding of the quantitative side of fiscal markets, I felt I was missing some essential fiscal knowledge. To me, masters in accounting, for example, are not capable to cover everything you necessity to know to succeed in the bailiwick of finance fancy a master’s in finance does.

What advice accomplish you endure for prospective Master's in Finance students?

The role of the master’s is to train you what’s necessary to wreck through the industry but I reckon that some introductory skills are beneficial. If you’re interested in fiscal markets, some coding and analytics skills (statistics, optimization, AI a plus) are a minimum to have. If you’re more interested by the corporate side, a righteous understanding of fiscal statements analysis and accountability rules is crucial. 

Masters in Management

Find out more about Masters in Management via webinar

eric-ivey

Eric Simard, associate director, MSc admissions at Ivey industry School, University of Western Ontario, Canada

Who is a Master’s in Management for?

It’s for ambitious, recent graduates who want a specialized Master’s degree, that will hone their skill-set, develop their leadership abilities and accelerate their career success. Students are admitted from a variety of disciplines, backgrounds, cultures.

This creates a unique undergo in classrooms which is meant to succor students understand, reflect on, and challenge their tendencies, preferences and biases.

At Ivey, students apply to a specific bailiwick of study which will allow them to focus their learning in one of three areas; industry Analytics, Digital Management, or International Business.

What skills/qualifications accomplish you necessity to apply?

We evaluate applicants on a number of dimensions including; Relationship management; Leadership orientation; Openness to learning; Adaptability; Program readiness; Academic performance in their final two years of their undergraduate degree; Motivation for joining the program; Short and long-term career objectives; Pre-program experience; and International exposure/experience.

What will you learn on a Master’s in Management?

Master’s in Management programs are designed to succor students bridge the gap between a solid speculative foundation received in undergraduate studies and the practical and soft skills needed to fabricate a disagreement in the early stages of their career.

Through Case-Method approach to education, Ivey MSc students are set in the position of the decision-maker and are asked to analyze data, develop alternatives and then fabricate and guard their recommendations. They are focused on creating the next group of industry leaders who are able to walk into a new role and engage action.

What jobs can you qualify for after a Master’s in Management?

Graduates engage positions in a variety of industries including; Technology, Management Consulting, fiscal Institutions, Telecommunications, Consumer Packaged Goods, and more.

The majority of their graduates engage starting positions in leadership rotational programs or in consulting firms focused in Risk, Technology or Human Capital. Many endure titles such as data science associate, locality manager or data analyst, and they travail in a variety of organizations such as PwC, Scotiabank, Amazon, Walmart, Deloitte, Proctor & Gamble, Accenture, Sun Life Financial, BMO, Bell, EY, and Morgan Stanley.

Top tip for applying to Ivey?

Candidates should connect with their admission and recruitment team before submitting their application. They should disburse time learning about what their programs endure to tender by attending webinars, talking to current students, and reaching out to their MSc alumni. And they should account and reflect on how the Ivey MSc in Management can uphold their short and long-term career goals.

Master’s in Management student mp;A

deanna-ivey

Deanna Hamilton, student at Ivey industry School, starting a consulting career after graduation

Why pursue a Master’s in Management?

I wanted to pursue a career in industry and a Master’s in Management seemed fancy the faultless artery for me to develop my erudition as I did not study industry during my undergrad. I also aspire to travail internationally one day. Ivey’s Global Lab occasion offered an eight-week, hands-on, international in-company undergo which allowed me to immerse myself in an unfamiliar environment and travail cross-culturally.

What advice accomplish you endure for prospective Master's in Management students?

Aside from the obvious skills of being a hard worker and passionate about the program, I contemplate it is crucial for students to subsist open to learning and willing to adapt. It is essential for you to subsist willing to step out of your solace zone to really engage odds of every occasion on the program. Interpersonal and communication skills are also necessary for most jobs and, coming into the program, many of my classmates already had exceptional communication skills.

Masters in Marketing

Find out more about Masters in Marketing via webinar

Ning Li, academic program director of the MS in Marketing at Johns Hopkins, Carey School of Business

Who is a Master’s in Marketing for? ning-li

For students looking to continue in their marketing studies or students looking to pivot into marketing from another field. Those who are looking to become marketing experts will receive training in industry foundations in addition to numerous high-level marketing electives.

What skills/qualifications accomplish you necessity to apply?

Candidates will necessity undergraduate flush communication and analytical skills.

What will you learn on a Master’s in Marketing?

Students will learn behavioral and quantitative methods and best marketing practices to address the most critical issues facing today’s marketer, including the impact of data and sociable media on marketing strategy, consumer behavior, sociable responsibility, competitive economics, business-to-business marketing, and more.

What jobs can you qualify for after a Master’s in Marketing?

Students can pursue careers in Marketing and industry Analytics, Marketing and Sales, universal Management, Consulting, and more. Some employers who endure hired their recent graduates include Amazon, China Telecom Americas, IBM, Johns Hopkins Medicine, P&G, and Tencent.

Top tip for applying to Carey?

Be Honest. No applicant is faultless and if there is a fraction of your application you are concerned about, subsist honest. subsist open to why this program appeals specifically to you. This is essential because honestly addressing concerns is essential in marketing roles.

Master’s in Marketing student mp;A

msmarketing

Charlie Wang, MS in Marketing student at Johns Hopkins, Carey School of Business

Why pursue a Master’s in Marketing?

I value a program with a multi-disciplinary scientific approach to industry where I’m exposed to a orbit of subjects, such as economics, psychology, and data science. Compared to other programs, Master’s in Marketing students explore a wider orbit of theories and models, and are able to quickly suitable to travail in a variety of industries.

What advice accomplish you endure for prospective Master's in Marketing students?

Two skills that are essential are curiosity and posthaste learning skills. You don’t necessity to endure entire the answers, but you accomplish necessity to subsist curious. You are expected to quickly suitable to the multi-disciplinary curriculum at a posthaste pace.

My advice: Start making friends now! Marketing students should subsist alert of the significance of relationships. Developing profound and enduring relationships with not only clients but also organizations will directly or indirectly move one’s success.

Are you interested in a industry master’s degree?

Register now for the Master’s Week webinar train held by the Graduate Management Admission Council (GMAC).

Running from 8-to-12 April, different industry schools will talk about a different master’s program each day.

Monday: Accounting; Tuesday: industry Analytics; Wednesday: Finance; Thursday: Management; Friday: Marketing


Squirrel AI Learning Attended IEEE ICDM 2018 to reveal the charm of AI +Education | killexams.com true questions and Pass4sure dumps

As one of the top three international conferences on global data mining, IEEE ICDM has been dedicated to in-depth data mining in statistics, machine learning, pattern recognition, database and data warehouse, data visualization, knowledge-based systems, high-performance computing and other fields. The conference also invited UBTECH's chief scientist Prof. Dacheng Tao; IBM Almaden fellow C. Mohan; Ramamohanarao (Rao) Kotagiri, dean of the School of Computing and Information Systems, Melbourne School of Engineering, the University of Melbourne; Graham William, Microsoft Asia Pacific R&D Group's director of cloud computing, AI and data science; Steve Miller, SMU Vice Provost (Research) of Information Systems; and other tech giants. They displayed their latest technologies and achievements in computer vision, blockchain, machine learning and other related fields. In addition, the attendees also discussed a wide orbit of common concerns about the promotion and application of cutting-edge technologies such as database and machine learning, as well as their future challenges.

World-renowned data mining and AI scholar Prof. Xindong Wu delivered an opening keynote speech titled "Great Wisdom". He proposed combining human intelligence (HI), artificial intelligence (AI) and organization/business intelligence (O/BI) with capacious data analysis for industrial intelligence in organizational activities. UBTECH's chief scientist Prof. Dacheng Tao introduced his team's achievements in machine vision, including breakthroughs in expostulate detection, scenario analysis, depth recovery from lone color images, target tracking and other aspects. IBM Almaden fellow C. Mohan shared a robust, effective and accurate automatic 3D segmentation algorithm for OCT imaging of retinal tissue layer and choroid.

As one of the pioneers of the application of AI and capacious data in education scenarios in China, Squirrel AI Learning has opened more than 1,600 learning centers in more than 300 cites in China, which endure served more than 1 million students. The shrink renewal rate is about 80%. Now it has become an essential force in revolutionizing traditional education in China. Squirrel AI Learning's chief scientist Dr. Wei Cui pointed out in his speech that these achievements reliance on Squirrel AI's self-built algorithm core. By collecting and analyzing learning data, Squirrel AI uses a nanoscale erudition graph to detect erudition points related to the targets in the least time and create personalized dynamic student portraits, forming self-learning and feedback on the prediction talent of AI and the sequel of learning content.

At the technical level, Squirrel AI has integrated the most cutting-edge AI, capacious data technology, psychology, pedagogy and other germane theories, forming a set of adaptive learning strategic algorithms running through the all teaching process.

First, Squirrel AI has rebuilt the erudition graph, benefiting from the improvement in AI and algorithm technology. In education, erudition graph and graph theory are usually used to portray and picture each subject's erudition system. However, there were always two problems in past erudition graphs. First, the description of students' erudition points was very crude; second, only strong correlations between erudition points were marked, while debilitated correlations in the majority were not taken into account.

Squirrel AI adopts nanoscale separation to tag the four key points, i.e. hardship level, importance, mastery and status with different icons and colors. In addition, the formerly universal 4-6 dimensions of student erudition portraits in global smart adaptative learning endure been upgraded to more than 30, so that each student's mastery of erudition points can subsist clearly displayed in one erudition graph. Taking middle school math as an example, in the adaptive system of Squirrel AI, the original 300 erudition points endure been refined to 30,000 erudition points. In this process, Squirrel AI uses the theory of association probability of non-correlated erudition points to build a network structure between erudition points, so that erudition points can subsist deduced from each other. At the operational level, Squirrel AI can adjust test questions with the largest amount of information in true time according to different feedback on each question from each student, so as to test the most erudition points with the least questions.

Second, Squirrel AI can track students' learning conditions through data analysis and grasp their learning curves in true time. According to the human forgetting curve in educational psychology, students always accumulate some erudition loopholes in their daily learning process. However, such erudition loopholes will not vanish because students advance to the next stage, but will move students' erudition learning in the next stage. Using the Bayesian network and probabilistic graphical model, Squirrel AI can clearly complete students' erudition portraits and understand students' overall mastery of erudition more comprehensively. In addition, Squirrel AI adopts Bayesian erudition tracking theory, which can detect students' past erudition loopholes.

Third, based on the dynamic tracking of students' erudition points, Squirrel AI can succor students build personalized learning paths. With the genetic algorithm, neural network and machine learning technology, Squirrel AI can push commandeer learning content to students, win feedback and retain drawing multi-dimensional student portraits. According to the degree and state of students' erudition mastery, the system automatically plans the most suitable learning hardship and order for students, helps them check their omissions and fill in the gaps, so as to ensure that students can consume the least time to grasp the erudition should subsist grasped.

To sum up, Squirrel AI can jog profound into the links of teaching, learning, testing and practicing through data collection and analysis, and truly realize accurate control of the all chain of students' learning, turning education concepts such as "individualized teaching" and "teaching students in accordance with their aptitude" into reality.

In addition, Squirrel AI Learning's chief scientist Wei Cui said: "Although Squirrel AI already has a very precise question pushing system, which can continue to improve through the improvement of Squirrel AI's erudition detection system, they quiet hope to improve interactivity. In the future, students' real-time heart rate, brain wave and facial expression recognition during learning will subsist added for comprehensive analysis. Each student will subsist equipped with a virtual personal assistant to provide better learning services for them."

In fact, Squirrel AI Learning has always attached distinguished significance to technology research and development. Since its establishment, the company has gathered three of the world's leading experts in smart adaptive learning, namely Wei Cui, Richard Tong and Dan Bindman, as chief scientist, chief architect and chief data scientist of Squirrel AI Learning. They respectively came from three world renowned AI adaptive education enterprises RealizeIT, Knewton and ALEKS. Integrating their nearly ten years of first-hand undergo in the application and R&D of AI adaptive education technology with China's education and teaching habits, they successfully developed Squirrel AI, China's first AI adaptive learning engine centered on advanced algorithms with proprietary intellectual property rights. At the AIAED on Nov. 16, Prof. Tom Mitchell, the godfather of global machine learning, dean of CMU School of Computer Science, a member of the American Academy of Arts and Sciences and the National Academy of Engineering, AAAS fellow and AAAI fellow, officially accepted Squirrel AI Learning's tender of the position of Chief AI Officer. As Squirrel AI Learning's first person in impregnate in the bailiwick of AI, Mitchell will lead a team of more than 10 AI scientists and hundreds of AI application engineers and technical teams to conduct basic AI research in the bailiwick of smart adaptative education, as well as the evolution and application of related products.

Moreover, Squirrel AI Learning has established a joint AI Lab with Stanford Research Institute (SRI) and a joint AI adaptive education lab with Chinese Academy of Sciences (CAS) to enable a customizable, measurable, and teachable personalized education mode. In the past two years, Squirrel AI Learning has made distinguished achievements in AI and capacious data. Its scientific research papers endure been taken by EDM, CSEDU, AIED, AERA and other top international academic conferences. The company has won many international scientific research awards, such as EdTechX innovation award, which has established its leading position in the bailiwick of AI+ education.

In the future, Squirrel AI Learning will continue to augment investment in AI, capacious data, machine learning, education theory and other related fields, and promote the practical application of AI in education scenarios.

SOURCE Squirrel AI Learning


Hacking with NPOs: Collaborative Analytics and Broker Roles in Civic Data Hackathons | killexams.com true questions and Pass4sure dumps

Hacking with NPOs: Collaborative Analytics and Broker Roles in Civic Data Hackathons 53:15

PACMHCI, Vol. 1, Issue. 2, Article 53. Publication date: November 2017.

8 CONCLUSIONS

In this paper, they identify several best strategies for the collaborative analytics in civic data hackathons,

which greatly succor NPOs leverage diverse data volunteers’ erudition and expertise to uphold NPO’s data-

driven work. They find that a righteous civic data hackathons should address the tensions between benefiting

NPOs’ data-driven travail and helping volunteers learning expectations. They contribute to improve

collaborative analytics during civic data hackthons with a rich case study of applying the broker

framework as a lens in examining the client teams’ facilitation practice. More specifically, they identify four

important brokering activities that hackathon client teams performed to uphold collaborative analytics:

translation, coordination, alignment, and contact brokering. In addition to the practical and design

implications, they call on CSCW community’s attention to further study collaborative analytics and civic

hackathons.

ACKNOWLEDGMENTS

We thank their participants for sharing their time and experiences with us. They are particularly indebted to

the Ann Arbor Data Dive organizing team—Karthik Ramanathan Dhanalakshmi, Stephanie Miller, Sunny

Choi, and Verena Getahun—for their uphold of this research.

REFERENCES

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improve strategic determination making? Findings from a national survey of nonprofit sociable service agencies. Nonprofit and willing Sector

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[2] Chris Bopp, Ellie Harmon and Amy Voida. 2017. Disempowered by data: nonprofits, sociable enterprises, and the consequences of data-

driven work. In Proceedings of CHI '17, 3608-3619.

[3] John M. Carroll, Mary Beth Rosson, Gregorio Convertino and Craig H. Ganoe. 2006. Awareness and teamwork in computer-supported

collaborations. Interacting with Computers 18, 1: 21-46.

[4] Joohee Choi. 2017. Characteristics of collaboration in the emerging drill of open data analysis. In Proceedings of CSCW '17, 835-846.

[5] Gregorio Convertino, Helena M Mentis, Aleksandra Slavkovic, Mary Beth Rosson and John M Carroll. 2011. Supporting common

ground and awareness in emergency management planning: A design research project. ACM Transactions on Computer-Human Interaction

(TOCHI) 18, 4: 22.

[6] Carl Disalvo, Thomas Lodato, Jonathan Lukens and Tanyoung Kim. 2014. Making public things: how HCI design can express matters

of concern. In Proceedings of CHI '14, 2397-2406.

[7] Paul Dourish and Victoria Bellotti. 1992. Awareness and coordination in shared workspaces. In Proceedings of CSCW '92, 107-114.

[8] Sheena Erete, Emily Ryou, Geoff Smith, Khristina Fassett and Sarah Duda. 2016. Storytelling with data: examining the consume of data by

non-profit organizations. In Proceedings of CSCW '16, 1273-1283.

[9] Michael B. Gurstein. 2011. Open data: Empowering the empowered or effective data consume for everyone? First Monday 16, 2.

[10] Jeffrey Heer and Maneesh Agrawala. 2006. Software design patterns for information visualization. IEEE Transactions on Visualization

and Computer Graphics 12, 5.

[11] Jeffrey Heer and Maneesh Agrawala. 2007. Design considerations for collaborative visual analytics. In Proceedings of VAST IEEE

Symposium on Visual Analytics Science and Technology, 171-178.

[12] Daniel Hellmann, Carleen Maitland and Andrea Tapia. 2016. Collaborative analytics and brokering in digital humanitarian response.

In Proceedings of CSCW '16, 1284-1294.

[13] Youyang Hou and Cliff Lampe. 2015. sociable media effectiveness for public engagement: specimen of minute nonprofits. In Proceedings of

CHI '15, 3107-3116.

[14] Lilly Irani. 2015. Hackathons and the making of entrepreneurial citizenship. Science, Technology & Human Values 40, 5: 799-824.

[15] Peter Johnson and Pamela Robinson. 2014. Civic hackathons: innovation, procurement, or civic engagement? Review of Policy

Research 31, 4: 349-357.

[16] Erik Lakomaa and Jan Kallberg. 2013. Open data as a foundation for innovation: The enabling sequel of free public sector information

for entrepreneurs. IEEE Access 1, 558-563.

[17] Michael Lenczner and Susan Phillips. 2012. From stories to evidence: how mining data can promote innovation in the nonprofit

sector. Technology Innovation Management Review 2, 7: 10.

[18] Thomas James Lodato and Carl Disalvo. 2016. Issue-oriented hackathons as material participation. New Media & Society 18, 4: 539 -

557.

[19] Nan L. Maxwell, Dana Rotz and Christina Garcia. 2016. Data and determination making: very organization, different perceptions; different

organizations, different perceptions. American Journal of Evaluation 37, 4: 463-485.

[20] David W. Mcdonald and tag S. Ackerman. 1998. Just talk to me: A bailiwick study of expertise location. In Proceedings of CSCW ’98, 1-11.

[21] David W. Mcdonald and tag S. Ackerman. 2000. Expertise recommender: a flexible recommendation system and architecture. In

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[22] Cecelia Merkel, Umer Farooq, Lu Xiao, Craig Ganoe, Mary Beth Rosson and John M. Carroll. 2007. Managing technology consume and

learning in nonprofit community organizations: Methodological challenges and opportunities. In Proceedings of CHIMIT '07, 8.

[23] Jonathan Morgan, Wikimedia Foundation, Dharma Dailey and Benjamin Mako Hill. 2017. Hacking and making at time-bounded

events: Current trends and next steps in research and event Design. In Proceedings of CSCW '17 Companion, 363-370.

[24] Andreas Paepcke. 1996. Information needs in technical travail settings and their implications for the design of computer tools. CSCW 5,

1: 63-92.



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