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ARMONK, N.Y., April 18, 2019 /PRNewswire/ -- IBM features (NYSE: IBM) announced an agreement with Japan-based Fukui bank to migrate its distributed processing gadget to IBM Cloud to aid pressure operational transformation to address client wants, and assist the pecuniary institution enhance its initiative to uphold native community building.
Banks are presently confronted with transferring customer behaviors and expectations in areas relish true-time banking, cell capabilities, and entry to finished monetary facts. As customer preferences become greater customized, it's critical for every employee to reply as a result, immediately respond to alterations, and supply high best digital customer provider. Fukui bank is also riding its transformation to align with adjustments in its managerial environment, which requires a greater springy IT atmosphere that also bolster the bank's operational safety.
IBM Cloud offers a framework that makes it feasible for purposes in a virtual infrastructure ambiance to exist migrated as is, which will uphold Fukui pecuniary institution construct a cloud ambiance immediately.
As Fukui bank continues to stream statistics, applications and associated services from its current infrastructure to the cloud, it's the employ of IBM Cloud Migration manufacturing unit to grasp a multi-pronged approach to re-host, re-platform, re-architect, and modernize its infrastructure. by using IBM Cloud Migration manufacturing unit with automation and other equipment, the pecuniary institution is calling to reduce migration prices and time.
The bank plans to start operation on IBM Cloud within the first half of this year.
anyway its core banking equipment, Fukui bank makes employ of a few hundred different distributed techniques that occupy been developed by its headquarters and quite a few divisions for his or her individual operations.
The pecuniary institution is adopting IBM Cloud to shun its allotted processing techniques and plans emigrate these mission-critical workloads using IBM Cloud for VMware options. With IBM Cloud for VMware solutions, Fukui pecuniary institution can straight away migrate to the cloud without having to alternate current tools or techniques and maintain the equal level of handle, security and lines. The bank can additionally construct a very native subsequent-generation virtual infrastructure atmosphere on IBM Cloud, which skill future cloud utilization, akin to hybrid cloud adoption, can also exist more without difficulty performed.
IBM and Fukui bank signed this transaction in this fall, 2018.
Conor GoldenIBM Media Relationscgolden@us.ibm.com845-323-6682
View original content material to down load multimedia:https://www.prnewswire.com/information-releases/japans-fukui-financial institution-moves-to-ibm-cloud-to-transform-the-means-it-does-company-300834627.html
IBM has been pushing ahead on its platform and cloud-pushed approach.
Its Platform as a provider offering, previously referred to as Bluemix, is now regular because the IBM Cloud.
IBM also has been investing in including capabilities such as cloud migration features and cloud optimized methods.
IBM (NYSE:IBM) has been specializing in its strategic imperatives section to pressure the subsequent stage of growth. The segment comprises the cloud, analytics, cellular, social, and protection capabilities. however the turnaround is taking a all lot longer than anticipated. After three consecutive quarters of salary increase, IBM revenues issue to exist lower back on the decline. In an previous streak, IBM had said income declines for five straight years. The market is dropping persistence and set up the influence announcement, IBM's stock fell 2% in the after hours buying and selling session.
Revenues for the primary quarter fell four.7% to $18.18 billion, lacking the street's forecast of $18.forty six billion. Its web income additionally declined to $1.59 billion, or $1.seventy eight per share, compared with $1.68 billion, or $1.81 per share, a yr earlier. On an adjusted basis, IBM earned $2.25 per participate and become ahead of the market's expectations of $2.22 per share. IBM attributed the pass over in revenues to its declining hardware enterprise and currency headwinds.
by using phase, cognitive options and expertise services and cloud platform revenues came in at $11.ninety one billion, falling wanting the market's expected $12.forty three billion. within the section, cloud and cognitive solutions revenues, which comprehend analytics, cybersecurity, and synthetic intelligence, fell 1.5% to $5.04 billion, but managed to beat the analyst estimates of $4.18 billion.
global company services revenues had been flat at $four.12 billion and additionally fell short of the analyst estimates of $four.19 billion. techniques revenues fell to $1.33 billion, missing the market's forecast of $1.37 billion. It ended the quarter with international financing revenues coming in flat at $406 million. IBM is divesting some of its different companies such because the mortgage servicing business. It pronounced revenues from these segments as fragment of other revenues that ended the quarter with $417 million.
IBM did not document the revenues from its strategic imperatives. however did point out that the annual exit profits shun rate for cloud-delivered services elevated 10% to $11.7 billion.
IBM expects to conclusion the current yr with EPS of at least $13.90, which become wanting the market's forecast profits of $13.ninety one per share.IBM's Cloud approach
IBM has been pushing forward on its platform and cloud-pushed approach. Its Platform as a service offering, formerly called Bluemix, is now criterion as the IBM Cloud. Bluemix become launched in 2014 and within a 12 months it had a set of more than a hundred cloud-based pile equipment. nowadays IBM's Cloud Foundry is the open-supply PaaS offering on IBM Cloud that makes it feasible for companies to install and scale apps. IBM enables businesses to shun the Cloud Foundry apps on a public cloud, trade environment or a non-public cloud. The Cloud Foundry now has thousands of functions that deliver capabilities akin to compute, storage, networking, analytics, and IoT. A fresh file by using Transparency analysis estimates the revenues configuration IBM Bluemix features to grow to $38.eighty five billion by artery of 2026, growing at an annualized growth expense of nearly 25% over the next seven years.
anyway PaaS, IBM is driving its cloud company through various improvements. during the eventual few months, IBM has been investing in including capabilities similar to cloud migration capabilities and cloud optimized techniques. every bit of through the eventual quarter, it brought Watson any site that makes IBM Watson available on-premises and on any private or public cloud. It released the IBM cloud integration platform that offers a criterion strategy to combine services and applications throughout diverse cloud environments.
IBM's cloud enterprise is also expected to rate a stalwart shove from its $34 billion acquisition of red Hat. IBM plans to leverage the acquisition to aid its consumers shift their company purposes to hybrid cloud, whereas addressing the concerns of portability, management consistency and safety. The acquisition is silent pending regulatory approval, however IBM plans to comprehensive the acquisition by the second quarter of the year.
IBM will deserve to proceed to shove its cloud and platform strategy to bring the a all lot-necessary turnaround. i need to understand from IBM what apps on its platform does it contemplate as providing essentially the most traction? What are the apps that IBM builders need to focus on to pressure greater revenues? Which of these apps and its developers enact you feel IBM may silent acquire?
IBM's inventory is at present trading at $139.eleven, with a market capitalization of $123.8 billion. It touched a fifty two-week high of $162 in September ultimate yr. When the tech shares tumbled eventual December, its stock too had fallen to a 52-week low of $one hundred and five.ninety four.
Shares of IBM IBM fell as tons as 4 percent on Tuesday after the trade referred to it generated less earnings than analysts had expected in the first quarter.
here are the major numbers:
IBM's salary was down essentially 5% from the 12 months-in the past quarter, based on a statement . This marks the third consecutive quarter of declining salary year over year. previously, IBM had a vein of twenty-two consecutive quarters of annualized earnings declines that ended in 2017 .
IBM reiterated its counsel of as a minimum $13.90 in income per share, except for distinct objects, for every bit of of 2019. Analysts had been trying to find $13.ninety one in earnings per share, with the exception of inescapable items, for the complete 12 months, based on Refinitiv.
within the first quarter IBM said it had bought its personal loan-servicing trade to Mr. Cooper neighborhood, and it said that later that this yr it could wind down its company of presenting working capital to distinct styles of suggestions-technology agencies.
IBM has modified its reporting constitution for the primary-quarter salary document. The company now not has a technology features & Cloud structures segment. Now it has Cloud & Cognitive software and international expertise services trade segments. The company's consolidated consequences are unchanged.
IBM's global expertise capabilities segment, the biggest section within the new reporting constitution, produced revenue of $6.88 billion, down 7 p.c year over 12 months. It comprises infrastructure and cloud capabilities, together with know-how assist services.
The Cloud & Cognitive software angle -- which consists of cognitive applications, cloud and records systems and transaction processing systems -- came out to $5.04 billion in income, down 1.5 percent.
The global trade capabilities enterprise segment had $4.12 billion in income, which turned into in reality flat. programs revenue was $1.33 billion, down eleven percent.
The company mentioned that techniques growth turned into "offset by using the occupy an repercussion on of the IBM Z product cycle dynamics." in the first quarter of 2018, IBM pronounced profits growth in fragment thanks to businesses upgrading to new mainframe know-how, and Tuesday's effects enact not examine as well to that. earnings from Z hardware, one portion of methods, become down 38 p.c.
international Financing, at $406 billion, became roughly flat. IBM also pronounced $417 million in "other" income, a fashion to file salary from the companies that IBM is divesting.
IBM didn't expose how tons of its complete revenue from the quarter comes from strategic imperatives, which can exist areas the trade has seemed to for increase: analytics, cloud, cell and security. In 2018 half of IBM earnings came from its strategic imperatives. IBM did lisp its annual exit profits shun expense for cloud delivered as a provider changed into $11.7 billion, up 10 percent.
"for those who grasp a Look at that, that has turn into more and more -- I may silent lisp less and fewer of a apropos metric as they movement forward," IBM's chief fiscal officer, Jim Kavanaugh, talked about on the business's convention name with analysts on Tuesday.
IBM's acquisition of red Hat RHT for $34 billion is anticipated to near in the 2nd half of this yr. "IBM is successful new, even cloud-native, valued clientele earlier than RHT," Nomura Instinet analysts led with the aid of Jeffrey Kvaal wrote in a note dispensed to shoppers on April 9. "OpenShift [a Red Hat product] may silent assist IBM win new consumers and new workloads as businesses start to usher mission-critical applications from on-premise to public or inner most clouds."
IBM inventory is up just about 28 % given that the starting of 2019.
WATCH: IBM Ceo Ginni Rometty: Hybrid cloud is one trillion-dollar market, and we'll exist #1
extra From CNBC
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Many IT departments occupy implemented software solutions that proceed beyond simple transaction and analytical processing. These packages hold models that picture inescapable data behaviors, and these models consume current data to contemplate if these patterns of data conduct exist. If so, operational systems can employ this information to construct decisions. A satisfactory case of this is fraud detection. IT data engineers employ 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 exist fraudulent.
The general term for these new packages is simulated 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 simulated 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 tremendous data applications. It also may comprehend customer, vendor and supplier data, perhaps at remote sites, and even extends to public data such as twitter, intelligence feeds and survey results. Another feasible source of data is server performance logs that comprehend 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 level 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 criterion backup and recovery and disaster recovery planning.
Layer 2: The Analytics Engines.
In this layer exist a admixture of hardware and software that executes trade analytics against the data layer. There are several common players in this space. They include:
Just as the data layer occurs across multiple hardware platforms and distributed sites, so will the analytics engines layer. The major duty 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 scientists know that one of the greatest benefits of machine learning is to employ the results in operational systems; for example, having an ML model dissect pecuniary 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 large organizations this means the IBM zServer environment.
Layer 4: Machine Learning Solutions.
Now that they occupy 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:
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 vital to you. However, once these KPIs are defined (either by a user or by implementing one of the machine learning solutions illustrious above), WMLz can dissect KPI data to Look for correlations. For example, when one KPI (say, I/O against a critical database) goes up, another KPI (say CPU usage) may proceed up as well. As another example, several KPIs may exist behaviorally similar, so WMLz can cluster them as a group and effect further analysis across groups. WMLz can also determine KPI baseline behaviors based on time-of-day, time zone of transactions or seasonal activity.
Anomaly Detection. Once correlations are discovered, WMLz can Look antithetical effects and report them as anomalies. In their I/O case above, an anomaly would exist reported if I/O against a critical database increased but CPU usage decreased.
Pattern Recognition. As with many machine learning engines, WMLz will Look for patterns among KPIs and data identifiers. For example, CPU may augment when processing inescapable categories of transactions.
KPI prediction. An extension of basic KPI processing, WMLz can employ the past behaviors of groups of KPIs to prognosticate the future. account their I/O case once again. The product may detect that inescapable transactions become more numerous during a particular time period, and these transactions consume significantly more CPU cycles. The product may then prognosticate future CPU spikes.
Batch workload analysis. Many IT shops occupy a large contingent of batch processing that is tightly scheduled and includes job and resource dependencies. Some jobs must wait for their predecessors to complete, some employ significant shared resources (such as tape drives or specialty hardware) and some are so resource-intensive that then cannot exist 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, Look for patterns and construct 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 election of development environments to develop models including IBM SPSS Modeler. These environments assist data scientists by using notebooks, data visualization tools and wizards to hasten the development process. Several quick-start application templates are also incorporated in the toolset for common trade requirements such as fraud detection, load approval and IT operational analytics. The latest version of WMLz (version 2.1.0) includes uphold 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 every bit of articles by Lockwood LyonREFERENCES
Machine Learning and simulated 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
International trade Machines Corp IBM delivered first-quarter 2019 non-GAAP earnings of $4.87 per share, which surpassed the Zacks Consensus estimate of $2.21. However, earnings per participate (EPS) decreased 8.2% from the year-ago quarter.
Revenues of $18.18 billion missed the Zacks Consensus estimate of $18.52 billion and declined 4.7% on a year-over-year basis. At constant currency (cc), the metric dipped 0.9%. The year-over-year revenue decline can primarily exist attributed to currency fluctuation and headwinds from IBM Z product cycle. Also, softness in the emerging markets of Asia Pacific affected the top-line performance.
Notably, IBM stated that signings declined 14% on cc basis in the first quarter to $7.6 billion. Services backlog declined 2% year over year and totaled $111.6 billion.
In a year’s time, shares of IBM occupy lost 2.5% compared with the industry’s 0.5% decline.
Geographic Revenue Details
Revenues from Americas decreased 1% on cc basis, reflecting the headwind from the IBM Z product cycle. The same from Europe, Middle-East and Africa were flat year over year, whereas Asia-Pacific revenues declined 2% on a year-over-year basis.
Starting from first-quarter 2019, IBM combined Cloud trade and Cognitive Software in one segment. Further, the company merged security services with security software.
IBM also integrated every bit of divested trade to the other categories in order to provide enhanced transparency to the software and GBS segments. The divested trade includes pending sales of seven software products to HCL, the sale of IBM’smarketing platform and commerce software offerings to Centerbridge and the recently concluded sale of Seterus mortgage servicing business.
Cloud & Cognitive Software Segment
The Cloud & Cognitive Software segment’s revenues-external improved 2% year over year (on cc basis) to $5 billion. Revenues at Cloud & Cognitive Software (including cloud and data platform, Cognitive application and transaction processing) increased primarily owing to growth in application driven by security and solutions, growth in data and analytics as well as simulated intelligence (AI).
Segmental revenues pertaining to Cloud increased 10%. Cloud as-a-service revenue annual shun rate was $2.1 billion.
Revenues from cloud and data platforms increased 2% year over year.
IBM stated that the integration of AI into offerings relish customer sustain analytics in commerce domain and increased adoption of IBM Cloud Private, which is built on Linux containers and kubernetes. It also added that analytics performed well in the quarter under review, courtesy of data science offerings and IBM Cloud Private for Data offering.
Furthermore, IBM witnessed growth in industry verticals relish health, key areas of analytics and security in the quarter. Watson Health witnessed broad-based growth in Payer, Provider, Imaging and Life Sciences domains.
Revenues from Cognitive Applications were up 4% year over year, driven by security, health, supply chain and weather. Security growth was backed by offerings in orchestration, data security and endpoint management.
Transaction Processing Software includes software that runs mission-critical workloads, leveraging IBM’s hardware platforms. Revenues were flat on a year-over-year basis.
Global trade Services Segment
Revenues from Global trade Services-external segment totaled $4.1 billion, up 4% from the year-ago quarter. The year-over-year augment in the top line was primarily owing to growth across every bit of three trade areas namely consulting, application management and global process services.
Cloud revenues surged 25% year over year. Cloud as-a-service revenue annual shun rate was $1.8 billion.
Application Management revenues were flat year over year. Global Process Services revenues climbed 5%. Moreover, Consulting revenues increased 9% year over year on solid performance of IBM’s digital business.
Global Technology Services Segment
Revenues from Technology Services-external decreased 3% from the year-ago quarter to $6.9 billion. Segmental revenues pertaining to cloud surged 13% from the year-ago quarter. Cloud as-a-service revenue annual shun rate was $7.5 billion.
Infrastructure & Cloud Services’ revenues decreased 3% from the year-ago quarter. Also, Technical uphold Services revenues declined 2% from the year-ago quarter.
Systems revenues decreased 9% on a year-over-year basis to $1.3 billion, primarily due to the repercussion of the IBM Z product cycle and stiff competition. Segmental revenues pertaining to Cloud revenues declined 15%.
IBM Z revenues decreased 38% year over year.
However, Power revenues increased 9% from the year-ago quarter. The upside can exist mainly attributed to Linux and robust adoption across the latest POWER9-based architecture.
Meanwhile, storage hardware revenues declined on frail performance in both high terminate and mid-range, partially offset by stalwart growth in every bit of shimmer Arrays. IBM stated that pricing pressure in the immensely competitive storage market is hurting revenues.
While Operating Systems Software revenues increased 5%, Systems Hardware slumped 14% from the year-ago quarter.
Finally, Global Financing (includes financing and used apparatus sales) revenues decreased 19% year over year and 9% at cc to $417 million.
Non-GAAP raw margin increased 100 basis points (bps) from the year-ago quarter and came in at 44.7%. The raw margin benefited primarily from 160 bps expansion in services margin.
Operating expense (research & development expenses and selling, general and administration expenses) declined 10.6% year over year on realization of acquisition synergies and improving operational efficiencies. Currently, IBM continues to invest in rapidly growing fields relish hybrid cloud, simulated intelligence (AI), security and blockchain.
Pre-tax margin from continuing operations expanded 320 bps on a year-over-year basis to 12.3%.
Non-GAAP operating margins from continuing operations contracted 90 bps and came in at 11%.
Balance Sheet & Cash stream Details
IBM ended first-quarter 2019 with $18 billion in total cash and marketable securities compared with $11.9 billion in the previous quarter. Total debt (including current portion) was $49.9 billion, up from $45.8 million from the previous quarter.
IBM reported cash stream from operations (excluding Global Financing receivables) of $4.8 billion and generated free cash stream of $1.7 billion in the quarter under review.
Moreover, the company returned $2.3 billion to its shareholders through dividends and participate repurchases. The company returned more than $10.3 billion to its shareholders through dividends and participate repurchases for the full year.
At the terminate of the year, the company had $2.4 billion remaining under current buyback authorization.
For 2019, IBM continues to await non-GAAP EPS to exist at least $13.90. The Zacks Consensus estimate is currently pegged at $13.90.
IBM silent anticipates 2019 free cash stream of $12 billion.
Zacks Rank & Stocks to Consider
IBM currently carries a Zacks Rank #4 (Sell).
Few better-ranked stocks in the broader technology sector are Yelp Inc. YELP, Xilinx, Inc. XLNX and Universal parade Corporation OLED, each sporting a Zacks Rank #1 (Strong Buy). You can see the complete list of today’s Zacks #1 Rank stocks here.
The long-term earnings growth rate for Yelp, Xilinx and Universal parade is currently pegged at 18.6%, 12% and 30%, respectively.
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IBM reported a slowdown in its hardware sales for its first quarter, but the company silent claims it's taking market participate away from rivals Hewlett-Packard and Oracle.
Those gains came during a decidedly mixed quarter that saw sales gains in software and some key areas such as cloud computing, but tiny growth in services and decreased hardware sales.
IBM reported revenue of $24.7 billion for the fiscal 2012 first quarter ended March 31, up less than 1 percent from the $24.6 billion in sales the company reported in the same term one year ago. But the IT giant silent managed to grow its bottom line by 7.1 percent to nearly $3.1 billion from $2.9 billion one year earlier.
Related: IBM Boosts Rebates To embolden Higher-Value Channel Solutions
Sales of hardware products from IBM's Systems and Technology segment were down 6.7 percent to $3.7 billion. That decrease was expected given the segment's 19 percent growth in the same term eventual year, said brand Loughridge, senior vice president and CFO, finance and enterprise transformation, said in a conference convoke with pecuniary analysts Tuesday.
Sales of Power Systems and System x servers were both flat compared to one year ago while System z mainframe revenue was down 25 percent, Loughridge said. System storage product sales were down 4 percent.
Despite the flat Power System sales, the CFO said IBM won 250 "competitive displacements" worth about $200 million with those products. About 50 percent of those competitive wins were against HP, according to Loughridge, while "most of the balance" came against Oracle's Sun hardware products.
Loughridge also touted the sales potential of IBM's new PureSystems converged infrastructure servers the company debuted eventual week. He said those new products, in which IBM invested some $2 billion in research and development, should start contributing to IBM's revenue stream in the second half of 2012.
NEXT: IBM Software Sales Rose
Software sales in the quarter rose 5.5 percent to $5.6 billion in the quarter. Sales of WebSphere middleware products grew 16 percent year-over-year while revenue from information management products were up 5 percent, as were sales of Tivoli software. Sales of Lotus software were flat, however, while Rational software sales increased just 1 percent.
"With this performance, software was a stalwart contributor to their growth initiatives," said IBM's CFO Loughridge.
IBM reported hefty sales increases in some key initiatives including Smarter Planet (up 25 percent), trade analytics (up 14 percent), growth markets such as India and Brazil (up 9 percent), and cloud technology and services (double the 2011 first-quarter sales).
Revenue from IBM's services operations was also lackluster, however. Global Technology Services revenue was $10.0 billion, up 1.7 percent from one year ago, while Global trade Services revenue was down 1.5 percent to $4.6 billion. Loughridge said fragment of the GBS revenue decrease was due to slower sales in Japan, particularly relating to two delayed contracts.
IBM on Tuesday also disclosed a deal to sell its retail store point-of-sale trade to Toshiba for approximately $850 million. The companies await to complete the transaction late in the second quarter or early in the third quarter of 2012. Under the agreement Toshiba will become a confederate in IBM's Smarter Commerce initiative, combining Toshiba's retail IT systems with IBM's retail analysis software and services.
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