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C4070-603 IBM System z Sales Solutions V6

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C4070-603 exam Dumps Source : IBM System z Sales Solutions V6

Test Code : C4070-603
Test title : IBM System z Sales Solutions V6
Vendor title : IBM
: 86 existent Questions

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IBM IBM System z Sales

IBM's Mainframe sales Crashed. That’s regular. | killexams.com existent Questions and Pass4sure dumps

One rationale IBM (NYSE:IBM) suffered a salary decline in the first quarter was slumping demand for its mainframe computer systems. earnings from mainframes tumbled 38% 12 months over 12 months, dragging revenue within the systems section down 9% on a currency-adjusted groundwork.

while mainframes are not as essential to IBM today as they were during the past, the hulking systems, with a great installation groundwork and significant switching charges, are a key piece of the enterprise's competitive merits. That makes the precipitous decline in sales inspect the entire extra concerning.

IBM's z14 mainframe system.

picture supply: IBM.

here is general

there isn't a purpose to agonize concerning the precipitous decline in mainframe sales. IBM's mainframe revenue spike each time the enterprise launches a new mannequin -- the third quarter of 2017 marked the delivery of the newest surge in revenue with the z14 system. After four or five quarters of sturdy 12 months-over-12 months growth, driven by route of clients upgrading from older fashions, that growth is lapped, and earnings start to yell no.

This cycle has performed out distinct times during the last decade as IBM refreshed its mainframe methods each few years. And regardless of the precipitous income declines IBM is now seeing, the existing cycle is the strongest in many years.

A chart showing IBM's year-over-year mainframe growth.

Date source: IBM. Chart via author.

"we are seven quarters into the z14 cycle and the software continues to tune forward of the prior application. They had mighty boom in volumes or shipped MIPS, and new workload MIPS proceed to outpace their ordinary MIPS," mentioned IBM CFO James Kavanaugh during the primary-quarter salary name. (MIPS stands for million directions per second, a measure of processing energy.)

Kavanaugh introduced that the one-body version of the z14, launched closing 12 months and designed to appropriate into commonplace records facilities, is a growth driver for the mainframe company.

IBM more than doubled mainframe sales on a yr-over-yr foundation within the 2d quarter of 2018, so a further massive decline in income in the 2nd quarter of this yr is inevitable. The traffic will then originate to lap these declines in the 2d half of this 12 months.

Given the ordinary gap between mainframe launches, IBM's next-gen mainframe device likely won't arrive until someday in 2020. That skill three or 4 extra quarters of decrepit mainframe performance before an extra 12 months-lengthy surge in revenue.

2020 is shaping up to breathe a immense year

no longer handiest will IBM feasible acquire a revenue enhance in 2020 thanks to the subsequent mainframe launch, however the enterprise will furthermore add a brace of billion dollars of earnings from its acquisition of red Hat. That deal is scheduled to shut earlier than the conclusion of this yr.

purple Hat is turning out to breathe at a double-digit price, and its software strengthens IBM's hand as it goes after the hybrid cloud computing market. there is a mainframe connection perquisite here, too -- red Hat offers a version of its traffic Linux operating device for IBM's mainframes. Kavanaugh mentioned complete the route through the profits muster that Linux is a key increase driver for the mainframe company.

IBM's complete earnings will likely decline this 12 months, mostly because of a significant strange money headwind, but additionally as a result of slumping mainframe income. however next 12 months will seem to breathe a powerful deal more advantageous.


IBM Vet Peter Porter Named Oracle Federal paraphernalia income Director | killexams.com existent Questions and Pass4sure dumps

Peter Porter

Peter Porter, previously a certified customer government at IBM‘s (NYSE: IBM) public sector company, joined Oracle (ORCL) as director of federal paraphernalia earnings, G2Xchange and many others pronounced Monday.

He has more than 30 years of expertise earnings journey and is chargeable for main a crew of experts that offers Oracle methods to federal civilian corporations.

Porter held a 29-yr profession at IBM, the position he in the past managed the firm’s company progress efforts concentrated on the U.S. Postal carrier and income of the IBM Smarter Cities portfolio.

previous in his company career, he worked in sales positions at Tektronix and Hewlett-Packard.

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IBM halt sales of Watson AI tool for drug discovery amid tepid growth: STAT document | killexams.com existent Questions and Pass4sure dumps

STAT stated the day before today that IBM is halting the revenue of their “Watson for Drug Discovery” computing device studying/ AI device, in response to sources in the enterprise. in accordance with STAT file, IBM is giving up its efforts to promote and flog its Drug Discovery technology due to “sluggish sales,”. but nobody looks to maintain advised IBM’s web site programming crew, because the pages of the product tips are quiet up on the IBM web site. They’re value taking a glance as to how the product has been over-promised by IBM.

apparently, IBM Watson fitness uses AI application to advocate groups array the connection and relationship among genes, drugs, diseases, and different entities through inspecting distinctive units of life sciences capabilities. however based on the IEEE Spectrum record, IBM’s entire foray into health custody has been marked by using the widely wide-spread combination of overpromising and below-start.

despite the fact, the service isn’t completely shutting down. IBM spokesperson Ed Barbini instructed to The Register: “We are not discontinuing their Watson for Drug Discovery providing, and they continue to breathe committed to its persevered success for their purchasers at the second using the expertise. we're focusing their components within Watson fitness to double down on the adjoining province of clinical progress the position they discern an excellent more suitable market need for their facts and AI capabilities.”

In different phrases, it seems the product won’t breathe bought to any new customers, despite the fact, organizations that need to continue the consume of the gadget will quiet breathe supported.

“The offering is staying available on the market, and we’ll labor with shoppers who wish to group with IBM in this area. however their future efforts may breathe greater focused on clinical trials – it’s a bigger market and more desirable consume of their technology and tools.”, according to IBM

The Drug Discovery provider is made of loads of distinctive items or “modules,” equivalent to a search engine that permits chemists to crawl scientific abstracts to determine suggestions on a specific gene or chemical compound. There’s furthermore an information community that describes relationships between medicine and ailments.

IBM’s fitness division has been crumbling for a long time. IBM Watson fitness’s Oncology AI application dished out wrong and unsafe innovations during beta checking out. And so as to add to their breathe concerned, in October ultimate year Deborah DiSanzo, IBM’s head of Watson health, stepped down from her position too.

read subsequent

IBM CEO, Ginni Rometty, on bringing HR evolution with AI and its predictive attrition AI

IBM broadcasts the launch of Blockchain World Wire, a world blockchain network for pass-border payments

range in Faces: IBM analysis’s new dataset to assist construct facial attention techniques which are reasonable


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IBM System z Sales Solutions V6

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Factors Expected to Influence IBM This Earnings Season | killexams.com existent questions and Pass4sure dumps

International traffic Machines IBM is set to report first-quarter fiscal 2019 results on Apr 16. Notably, the company surpassed the Zacks Consensus assay in the trailing four quarters with middling beat of 1.39%.

In the last reported quarter, the company delivered non-GAAP earnings of $4.87 per share, beating the Zacks Consensus assay of $4.81 per share. However, earnings per participate (EPS) decreased 5.9% from the year-ago quarter. The year-over-year decline in EPS can breathe attributed to higher tax rate.

Revenues of $21.76 billion were almost in line with the Zacks Consensus assay of $21.74 billion. However, the motif declined 3.5% on a year-over-year basis. At constant currency (cc), revenues dipped 1%. The year-over-year decline can primarily breathe attributed to currency fluctuation and headwinds from IBM Z product cycle.

Guidance & Estimates

The Zacks Consensus assay for the to-be-reported quarter is pegged at $18.65 billion, down roughly 2.2% from the year-ago quarter. Further, the consensus brand for earnings is pegged at $2.22 per share, indicating year-over-year decline of 9.4%.

IBM expects non-GAAP EPS forecast for 2019 to breathe at least $13.90. The Zacks Consensus assay for earnings is pegged at $13.91 per share, up marginally 7% year over year.

Let’s discern how things are shaping up prior to this announcement.

International traffic Machines Corporation expense and EPS Surprise

 

International traffic Machines Corporation expense and EPS astonish | International traffic Machines Corporation Quote

Factors to Consider

IBM’s initiatives in blockchain, cloud and enterprise AI market through product rollouts and strategic deals bode well. Moreover, the company’s improving clout in the cloud, security and analytics remains a tailwind.

In the fourth quarter, Strategic Imperatives (cloud, analytics, mobility and security) grew 5% from the year-ago quarter to $11.5 billion.

Cloud revenues surged 6% from the year-ago quarter to $5.7 billion and 19% (excluding IBM Z product cycle impact).

Coming to Systems, the segment comprises both hardware and operating systems software revenues. Broad-based adoption of the z14 mainframe, power systems and sturdy scintillate sales remain key catalysts for the segment.

Systems revenues decreased 21% on a year-over-year basis (down 20% at cc) to $2.6 billion, primarily owing to repercussion of the IBM Z product cycle. Segmental revenues pertaining to Strategic Imperatives plunged 22%, while Cloud revenues declined 31%.

IBM Z revenues decreased 44% year over year. However, MIPS capacity has increased around 20%, driven by broad-based adoption of the z14 mainframe.

Cognitive Solutions’ revenues-external increased 2% year over year (on cc basis) to $5.5 billion. Revenues from Cognitive Solutions (including solutions software and transaction processing) increased primarily on account of growth in solutions software, including analytics and artificial intelligence (AI). The Zacks Consensus assay for the first quarter is currently pegged at $4.14 billion.

Revenues from Global traffic Services-external segment were $4.3 billion, up 4% from the year-ago quarter (up 6% at cc). The year-over-year increase was primarily due to growth across complete three traffic areas namely consulting, application management and global process services. The Zacks Consensus assay for the first quarter is pegged at $4.23 billion.

Revenues from Technology Services & Cloud Platforms-external decreased 3% from the year-ago quarter (flat at cc) to $8.9 billion. The Zacks Consensus assay for the first quarter is pegged at $8.27 billion.

Product Rollouts & Strategic Deals: Key Catalysts

IBM recently completed the launch of its next generation POWER9 processors for mid-range and high-end systems. These are designed for handling advanced analytics, cloud environments and data-intensive workloads in AI, HANA, and UNIX markets.

The company furthermore introduced new offerings optimizing both hardware and software for AI. Management believes that products fancy PowerAI Vision and PowerAI Enterprise will assist drive new customer adoption.

Story continues

IBM expanded partnership with Vodafone Group. Per the deal, IBM’s advanced hybrid cloud platform, AI, and IoT capabilities will aid Vodafone traffic with digital transformation initiatives.

IBM furthermore announced that IBM Cloud will breathe utilized by RemoteMyApp, a game streaming startup based out of Poland. IBM Cloud will aid RemoteMyApp to expand global market gain and enhance its flagship gaming platform, Vortex.

The robust growth in cloud gaming market and increasing focus on video game streaming platforms presents significant growth opportunity for IBM.

Further, IBM cloud is witnessing increasing adoption across businesses based in Europe as evident from this deal. Notably, IBM Cloud offers local EU-based advocate to its clientele by which access can breathe confined to solely EU-based IBM employees. These factors are aiding the tech giant to expand foothold in Europe

IBM is furthermore benefiting from notable customer wins, especially in the sports domain of late. IBM is introducing several initiatives to bolster suffer of the entities involved in sports leagues, from players, coaches to fans and management.

The company’s bid to integrate AI into sports systems’ is in sync with its strategy to retreat beyond fan assignation to influencing players with robust strategies. These innovative solutions aided by IBM’s Watson positions the company well in gaining momentum.

IBM is furthermore gaining momentum in blockchain technology. The traction witnessed by the company’s Watson Ads offering is bolstering the top line, in rotate aiding IBM to better compete against peers.

While these developments are expected to positively repercussion results, IBM’s continuing investments and pricing pressure related to its legacy hardware traffic and ballooning debt levels remain headwinds.

What the Zacks Model Unveils

According to the Zacks model, a company with a Zacks Rank #1 (Strong Buy), 2 (Buy) or 3 (Hold) has a respectable haphazard of beating estimates if it furthermore has a positive Earnings ESP. The Sell-rated stocks (Zacks Rank #4 or 5) are best avoided.

IBMhas a Zacks Rank #3 and an Earnings ESP of 0.00%. You can uncover the best stocks to buy or sell before they’re reported with our Earnings ESP Filter.

Stocks with auspicious Combination

Here are a few stocks that are worth considering as their model shows that these maintain the perquisite combination of elements to deliver an earnings beat in the upcoming releases.

The Progressive Corporation PGR has an Earnings ESP of +0.09% and a Zacks Rank #2.You can see the complete list of today’s Zacks #1 Rank stocks here.

RLI Corp. RLI has an Earnings ESP of +2.56% and a Zacks Rank #2.

Netflix, Inc. NFLX has an Earnings ESP of +0.44% and a Zacks Rank #3.

Radical New Technology Creates $12.3 Trillion Opportunity

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Want the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to acquire this free report International traffic Machines Corporation (IBM) : Free Stock Analysis Report Netflix, Inc. (NFLX) : Free Stock Analysis Report RLI Corp. (RLI) : Free Stock Analysis Report The Progressive Corporation (PGR) : Free Stock Analysis Report To read this article on Zacks.com click here. Zacks Investment Research


IBM Improves IT Operations with artificial Intelligence | killexams.com existent questions and Pass4sure dumps

Artificial Intelligence in IT Today

Many IT departments maintain implemented software solutions that retreat beyond simple transaction and analytical processing. These packages hold models that narrate certain data behaviors, and these models consume current data to discern if these patterns of data conduct exist. If so, operational systems can consume this information to get decisions. A respectable illustration of this is fraud detection. IT data engineers consume analytics on historical data to determine when fraud occurred, code this into a model, and deploy the model as a service. Then, any operational system can invoke the model, pass it current data and receive a model “score” that represents the probability that a transaction may breathe fraudulent.

The common term for these new packages is artificial intelligence (AI). They consist of a combination of search, optimization and analytics algorithms, statistical analysis techniques and template processes for ingesting data, executing these techniques and making the results available as services called models. The subset of AI that deals with model creation and implementation is sometimes called machine learning (ML).

Machine Learning and artificial Intelligence

IT departments implement ML and AI solutions in the broader context of their data and processing footprint. This is usually depicted as the following four-layer hierarchy.

Layer 1: The Data.

This layer contains the data distributed across the enterprise. It includes mainframe and distributed data such as product and sales databases, transactional data and analytical data in the data warehouse and any immense data applications. It furthermore may include customer, vendor and supplier data, perhaps at remote sites, and even extends to public data such as twitter, word feeds and survey results. Another feasible source of data is server performance logs that include resource usage history.

Note that these data exist across diverse hardware platforms including on-premises and cloud-based. As such, various data elements can exist in multiple forms and formats (e.g. text, ASCII, EBCDIC, UTF-8, XML, images, audio clips, etc.). In addition, at this flush will exist hardware and software that manage the data, including high-speed data loaders, data purge and archive processes, publish-and-subscribe processes for data replication, as well as those for yardstick backup and recovery and calamity recovery planning.

Layer 2: The Analytics Engines.

In this layer exist a blend of hardware and software that executes traffic analytics against the data layer. There are several common players in this space. They include:

  • The IBM Db2 Analytics Accelerator (IDAA) than can breathe implemented as standalone hardware or fully integrated within certain z14 servers;
  • Spark on z/OS;
  • Spark Anaconda on z/OS;
  • Spark clusters on distributed platforms.
  • Just as the data layer occurs across multiple hardware platforms and distributed sites, so will the analytics engines layer. The major role of this layer is to provide an optimized data access layer against the underlying data as a service for AI and operational applications.

    Layer 3: The Machine Learning Platform.

    IT implements machine learning software in this layer. It accesses the data through one or more of the analytics engines. It is in this layer that IBM delivers its latest offering, Watson Machine Learning for z/OS (WMLz). WMLz provides a basic machine learning workflow consisting of the following steps:

  • Data Ingestion and Preparation — Inputting data, filling in missing values, encoding category data, creating indexes and normalizing numeric values;
  • Model building and Training — An interface for the data scientist to create a model of data conduct based on historical analytics, train the model to detect data patterns and validate the model;
  • Model Deployment — Implement the model as a production process, including procedures for updating models in-place and monitoring model results;
  • Feedback Loops — Processes that allow automated model learning by feeding model results back into the model training process to update models or bear new ones.
  • Data scientists know that one of the greatest benefits of machine learning is to consume the results in operational systems; for example, having an ML model dissect fiscal data to determine the possibility of fraud. This means that you will achieve best performance when you deploy ML in the hardware environment where transaction processing occurs. For many great organizations this means the IBM zServer environment.

    Layer 4: Machine Learning Solutions.

    Now that they maintain the machine learning platform available as ML services, they can create combined AI/ML solutions that invoke those services. IBM has several ready-made solutions for this layer, including the following:

  • Db2 AI for z/OS (Db2ZAI) -- Using Db2 SMF data for analysis, Db2ZAI monitors and analyzes Db2 operations in a Z/OS environment. It can provide improved query access path information to the Db2 optimizer to increase SQL performance, diagnose Db2 performance abnormalities and recommend corrective action and detect Db2 statistics anomalies and provide performance tuning recommendations;
  • IBM Z Operations Analytics (IZOA) -- This product analyzes z/OS SMF data and detects changes in subsystem consume and forecasts changes that may breathe required in the future, does automatic problem analysis and provides problem insights from known problem signatures.
  • Watson Machine Learning on Z

    Let’s grasp a deeper dive into how Watson Machine Learning on Z (WMLz) works and what services it can provide.

    Key Performance Indicators (KPIs). WMLz does not inherently know what performance factors are captious to you. However, once these KPIs are defined (either by a user or by implementing one of the machine learning solutions noted above), WMLz can dissect KPI data to inspect for correlations. For example, when one KPI (say, I/O against a captious database) goes up, another KPI (say CPU usage) may retreat up as well. As another example, several KPIs may breathe behaviorally similar, so WMLz can cluster them as a group and fulfill further analysis across groups. WMLz can furthermore determine KPI baseline behaviors based on time-of-day, time zone of transactions or seasonal activity.

    Anomaly Detection. Once correlations are discovered, WMLz can inspect contradictory effects and report them as anomalies. In their I/O illustration above, an anomaly would breathe reported if I/O against a captious database increased but CPU usage decreased.

    Pattern Recognition. As with many machine learning engines, WMLz will inspect for patterns among KPIs and data identifiers. For example, CPU may increase when processing certain categories of transactions.

    KPI prediction. An extension of basic KPI processing, WMLz can consume the past behaviors of groups of KPIs to predict the future. account their I/O illustration once again. The product may detect that certain transactions become more numerous during a particular time period, and these transactions consume significantly more CPU cycles. The product may then predict future CPU spikes.

    Batch workload analysis. Many IT shops maintain a great contingent of batch processing that is tightly scheduled and includes job and resource dependencies. Some jobs must wait for their predecessors to complete, some consume significant shared resources (such as tape drives or specialty hardware) and some are so resource-intensive that then cannot breathe executed at the same time. WMLz can dissect the workload data, including resource usage, and provide recommendations for balancing resources or tuning elapsed times.

    MLC cost pattern analysis and cost reduction. Some IBM software license charges are billed monthly, and the license amount may depend upon maximum CPU usage during peak periods. WMLz can dissect CPU usage across time, inspect for patterns and get predictions and recommendations for software license cost reduction.

    Watson Machine Learning for z/OS — Features

    IBM’s Watson Machine Learning for z/OS allows IT its selection of progress environments to develop models including IBM SPSS Modeler. These environments assist data scientists by using notebooks, data visualization tools and wizards to accelerate the progress process. Several quick-start application templates are furthermore incorporated in the toolset for common traffic requirements such as fraud detection, load approval and IT operational analytics. The latest version of WMLz (version 2.1.0) includes advocate for Ubuntu Linux on Z, java APIs, simplified Python package management and several other features.

    Interested readers should reference the links below for more particular technical information.

    # # #

    See complete articles by Lockwood Lyon

    REFERENCES

    Machine Learning and artificial Intelligencehttps://en.wikipedia.org/wiki/Machine_learning

    Data and AI on IBM Zhttps://www.ibm.com/analytics/z-analytics

    Using Anaconda with Spark — Anaconda 2.0 documentationhttps://docs.anaconda.com/anaconda-scale/spark/

    Watson Machine Learning - Overviewhttps://www.ibm.com/cloud/machine-learning

    Watson Machine Learning - Resourceshttps://www.ibm.com/cloud/machine-learning/resources


    IBM Plans Product Line Divestitures, Employee Cutbacks After Disappointing Q1 | killexams.com existent questions and Pass4sure dumps

    Get ready for some major changes at IBM.

    Following first-quarter fiscal results that IBM executives acknowledged were "disappointing," CFO brand Loughridge, in an earnings muster with fiscal analysts Thursday, indicated that employee layoffs and divestiture of poorly performing businesses are planned for the current quarter.

    For the first fiscal 2013 quarter ended March 31, IBM reported revenue of $23.4 billion, down 5 percent from $24.7 billion in last year's first quarter. Net income was $3.0 billion, down 1 percent from $3.1 billion one year earlier.

    "There are parts of their traffic that are in transition or maintain been underperforming, fancy elements of their Power, [System] x and storage product lines that showed disappointing performance in the first quarter," Loughridge said. "Here we're going to grasp substantial actions," he said, without offering details.

    [Related: IBM In Talks To Sell x86 Server traffic To Lenovo ]

    Thursday CRN reported that IBM is in vigorous negotiations to sell its x86 server hardware traffic and Lenovo is the top candidate to buy it.

    Asked about that report by an analyst, Loughridge said: "I'm obviously not going to comment on rumors."

    But at several points during the earnings muster the CFO referred to coming "divestitures" and made it transparent that "workforce rebalancing," which is IBM-speak for layoffs, is planned for the current quarter. He said one-time charges for costs associated with those cutbacks will breathe taken against second-quarter results.

    Last year, IBM spread out staff cutbacks throughout the year, Loughridge said. "But given their first-quarter performance, they now hope to grasp the bulk of their workforce balancing actions for the year in the second quarter." He said those cutbacks -- the company does not yet maintain a "specific approved action," he said -- and the resulting charges will maintain an repercussion on second-quarter earnings.

    Loughridge blamed IBM's quarterly results on the company's inability to nearby a number of immense contracts -- valued in total around $400 million -- for IBM software products and mainframe systems.

    "This quarter certainly didn't nearby the route it started," the CFO said. "We had solid profit performance in January, but as the quarter ended hundreds of millions of dollars of very profitable software and System z mainframe deals fell short of the goal line. This impacted the first-quarter close. But the rollover of these deals positions us for a sturdy start in their software and mainframe traffic in the second quarter."

    Loughridge blamed the problems on "a shortfall in sales execution in their software and mainframe businesses." He said the company had taken steps to ameliorate that execution, but didn't tender details.

    NEXT: Hardware Sales Slump While Software Sales Remain Flat

    IBM took a immense hit in hardware sales: Revenue from its Systems and Technology segment dropped more than 17 percent to $3.1 billion from $3.7 billion in the first quarter of last year. Systems and Technology reported a pre-tax loss of $0.3 billion.

    Total systems sales were down 13 percent for the quarter. Hit hardest were sales of the company's Power Systems, which plunged 32 percent year-over-year. Revenue from System x sales were down 9 percent. And sales of storage systems decreased 11 percent.

    "Weakness in Power, System x and storage resulted in overall declines," Loughridge said. "For Systems and Technology, this is not the quarter they expected."

    Later in the muster he said IBM would more aggressively expand its line of Power servers for the Linux market.

    Loughridge said IBM has sold more than 4,000 units of the "PureSystems" servers it launched one year ago. But, he provided no revenue figures for those sales.

    The only existent luminous spot in Systems and Technology was sales of IBM's System z mainframes. Despite the delayed contracts, revenue from mainframe sales grew 7 percent in the quarter, and the company said total delivery of System z computing power, measured in millions of instructions per second (MIPS) were up 27 percent.

    Revenue from IBM's software traffic was flat year-over-year at $5.6 billion.

    Sales of key products including WebSphere, Information Management, Tivoli, convivial Workforce Solutions, formerly Lotus software, and Rational were $3.5 billion. WebSphere product sales were up 6 percent, Tivoli product sales grew 1 percent, and convivial Workforce Solutions sales increased 8 percent.

    But, Information Management product sales declined 2 percent in the quarter and Rational software sales dropped 2 percent. Operating systems revenue was down 2 percent to $578 million.

    Loughridge furthermore said the 1 percent increase in revenue from growth markets such as China and Russia was "disappointing." He said that growth should breathe in the mid-single digits. On the positive side, the CFO said revenue from cloud computing initiatives grew 70 percent in the quarter, while "smarter planet"-related sales were up 25 percent and traffic analytics sales grew 7 percent.

    On the services side, IBM said revenue from the company's Global Technology Services was down 4 percent year-over-year to $9.6 billion. Global traffic Services revenue was down 3 percent in the quarter to $4.5 billion. Loughridge said IBM's services businesses "performed as expected," and the company closed 22 service contracts each valued at $100 million or more.

    Revenue from IBM Global Financing was up 2 percent to $499 million.

    PUBLISHED APRIL 18, 2013



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