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M2090-743 IBM Big Data and Analytics Sales Mastery v2

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M2090-743 exam Dumps Source : IBM Big Data and Analytics Sales Mastery v2

Test Code : M2090-743
Test Name : IBM Big Data and Analytics Sales Mastery v2
Vendor Name : IBM
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IBM IBM Big Data and

IBM Guardium data insurance plan for Databases: Product Overview and evaluation | killexams.com Real Questions and Pass4sure dumps

Most fresh products Articles

See our comprehensive listing of precise database safety vendorsSee user stories for IBM Guardium

base line

IBM Guardium statistics coverage for Databases is a complete statistics security platform that offers a full range of services across diverse environments, from file systems to databases and big facts structures. It probably most closely fits these organisations dedicated to IBM and are commonplace with its application and methods, as well as those wishing to add security analytics along with compliance, database insurance plan and encryption inside a single product.

Product Description

IBM Guardium presents:

  • Discovery, classification, vulnerability evaluation and entitlement reporting
  • Encryption, facts redaction and dynamic covering, combined with real-time alerting and automatic blockading for protection of delicate information
  • exercise monitoring and security analytics in line with computing device getting to know
  • Centralized audit repository for business-vast compliance reporting, efficiency optimization, investigations and forensics
  • automated facts compliance and audit capabilities with Compliance Accelerators for laws like PCI, HIPAA, SOX or GDPR
  • Database protection features Rated Databases served: Very first rate

    IBM Guardium records coverage for Databases presents guide for all primary databases.

    problem solved: Very good

    Native-logging processes to help safety and compliance can be operationally complex, and they do not make certain statistics confidentiality. because data is continually altering, moving, and being accessed with the aid of new users, it may also be problematic to be mindful what information you have got, the way it is getting used, and if both of these issues places you in danger from a security or compliance point of view. Insider threats and external attacks also pose dangers to information, but average procedures cannot enforce separation of tasks, admire suspicious pastime in real time, or aid you act.

    https://o1.qnsr.com/log/p.gif?;n=203;c=204660768;s=9477;x=7936;f=201812281316470;u=j;z=TIMESTAMP;a=20392955;e=i

    IBM Guardium records coverage for Databases offers a data protection platform for structured records in databases and records warehouses on principal operating systems. It instantly discovers essential statistics and uncovers risk, presenting visibility into all transactions and protocols across systems and users. It allows protection for delicate records via actual-time capabilities, including monitoring, alerting, blocking and quarantining, together with compliance automation to streamline operations and reduce risk of audit failure. It protects in opposition t unauthorized facts access with the aid of researching common user access patterns and can supply real-time signals on suspicious activities. it might probably dynamically block access or quarantine user IDs to offer protection to against interior and external threats and additionally helps streamline and automate compliance workflows.

    "IBM Guardium is the ultimate solution to video display Database exercise in real time. Reporting, Dashboard, elements, integration with SIEM, all these make Guardium the leading safety product," pointed out a consultant within the functions business.

    price: decent

    these already the use of IBM protection items may discover excessive cost when it comes to packaged pricing for present IBM consumers and ease of integration with IBM utility. although, non-IBM users might also discover it more cost-prohibitive.

    Implementation: fair

    Setup for Guardium may be complicated and time-consuming for some clients. KuppingerCole also mentioned some considerations with edition improvements.

    "Guardium is a extremely complicated [product] and requires time and capabilities to be wholly utilized," observed an IT security expert in the finance industry.

    administration: respectable

    KuppingerCole gave Guardium excessive marks for usability.

    assist: Very goodCloud facets: fair

    A separate product is required for the cloud, which protects databases in public and hybrid clouds.

    IBM Guardium

    start

    IBM's Guardium answer can be configured for a single database or hundreds of heterogeneous databases observed across the business. it's purchasable as preconfigured appliances shipped with the aid of IBM or as software home equipment put in in your platform. not obligatory elements may also be introduced after installing.

    agents

    sure

    Pricing

    Pricing is according to the number of processor cores, without a publicly released pricing.


    classes from IBM for Google, Amazon and fb | killexams.com Real Questions and Pass4sure dumps

    It’s striking when organizations closing for decades – or much more than a century – and especially so after they’re in a fast-altering trade like desktop technology. IBM, which traces its roots to the 1880s, grew from three small establishments to a multi-billion-dollar tips technology services company these days. Its u.s.and downs alongside the manner offer some insights into the world technology trade, and might include some instructive instructions for up-and-coming digital giants like Google, Amazon and facebook – all of which might be a long way more youthful than IBM.

    In my new e-book, “IBM: the rise and Fall and Reinvention of a worldwide Icon,” I discover the company’s heritage of growing and promoting records processing gadget and software. As a former IBM employee and a historian, the most important lesson I found is that many americans confuse incremental changes in know-how with extra fundamental ones that truly form the path of a company’s destiny.

    there's a change between individual items – successive fashions of PCs or typewriters – and the underlying applied sciences that make them work. Over 130 years, IBM launched neatly over 3,600 hardware items and well-nigh an analogous volume of utility. however all those gadgets and capabilities were in accordance with just a handful of actual technological advances, such as shifting from mechanical machines to those that relied on desktop chips and software, and later to networks just like the web. The transitions between these advances took vicinity way more slowly than the consistent move of new items may imply.

    These transitions from the mechanical, to the digital, and now to the networked reflected an ever-growing to be capacity to bring together and use better quantities of tips comfortably and right away. IBM moved from manipulating statistical facts to the usage of technologies that teach themselves what people need and have an interest in seeing.

    a focus that can adapt

    Between 1914 and 1918, IBM management determined that the enterprise the enterprise can be in was records processing. in more modern phrases, that business has develop into “massive information” and analytics. however it’s nonetheless accumulating and organizing facts, and performing calculations and computations on it.

    considering that the early 1920s, IBM has taken a disciplined method to product construction and analysis, focusing on setting up the underpinning technologies for its statistics processing products. Nothing seemed to be achieved unintentionally.

    A blue IBM punch card. Gwern/Wikimedia Commons

    In its first half-century, IBM’s simple technology platform from which many products emerged was the punch-card, yielding tabulators, card sorters, card readers and the famous IBM Card. In its 2nd half-century, the primary know-how platform became the computing device, including mainframes, minicomputers, PCs and laptops. In its most recent 30 years, computing device sales have introduced in a declining share of the business’s total income, as IBM transitions to featuring more cyber web-primarily based features, including utility and technical and managerial consulting.

    the upward thrust of each and every succeeding expertise took place all over the maturity and decline of its predecessor. IBM first began selling computers in the Nineteen Fifties, however stored selling tabulating equipment that still used punch playing cards except the early Nineteen Sixties. As recently as the early Nineties, over ninety percent of IBM’s revenues got here from selling computers, notwithstanding it turned into introducing new functions like management and method consulting, advice know-how administration and application earnings.

    It wasn’t except the conclusion of 2018 that IBM introduced that 50 percent of its company now got here from features and application, most of which were new offerings developed in the old decade.

    The information media – and even IBM employees – may additionally have perceived that IBM turned into reworking itself right away and regularly. truly the enterprise had planted seeds for boom early and thoroughly tended new technologies unless they bore fruit – happily, around the equal time as earlier techniques had been ending their constructive lives.

    This strategic approach is not wonderful – Apple has been promoting personal computers for greater than 40 years. Its management, of route, talks an awful lot greater about its role in the smartphone enterprise, which is already beginning to level off. Apple can also quickly need – or already be working on – a new technological focal point to remain central.

    The future of the giants

    Microsoft, like Apple, developed faraway from selling just laptop utility and working programs. It begun information superhighway-based initiatives like its Bing search engine and OneDrive cloud storage – in addition to presenting cloud-based computing functions for companies.

    IBM is already exploring quantum computing, as a new frontier of statistics processing. IBM analysis, CC by using-ND

    organizations that begun on the internet may also additionally face an identical transitions. Amazon, Google and fb every now and then claim to have converted themselves, but haven’t yet fully left their long-established groups.

    Amazon still makes most of its funds promoting physical objects on-line, even though its web-based cloud services division is growing hastily. Amazon has also invested in a big range of alternative company that could develop in the future, such as fitness care and enjoyment content material.

    Google and facebook still make most of their cash selling information about how clients behave to advertisers and organizations that wish to entice americans to a particular factor of view. both are exploring different avenues, even if it’s Google’s self-driving automobiles or facebook’s experiments with virtual fact.

    but at their core, all three web giants are nonetheless finding new the way to capitalize on the significant portions of information they accumulate about shoppers’ activities and pastimes – simply as many years earlier IBM found new methods to use tabulating equipment and computer systems. in the event that they’re to ultimate many years or centuries into the long run, the corporations will deserve to probe, experiment and innovate to discover new methods to income as technologies exchange.


    IBM marries on-premises, private- and public-cloud facts | killexams.com Real Questions and Pass4sure dumps

    IBM has taken the wraps off of a brand new multi-cloud integration platform it hopes will support shoppers manipulate, relaxed and integrate data no matter where it resides – in on-premise, inner most-cloud or public-cloud functions.

    business valued clientele are faced with the daunting project of bridging legacy applications with latest cloud carrier, and many can’t simply carry and shift, observed Juan Carlos Soto, IBM vice chairman of Hybrid Cloud Integration. On properly of that many corporations are already trying to manipulate five or more cloud environments, regularly from varied companies, and they can’t sustain, he mentioned.

    IBM’s Institute for company cost estimates that by means of 2021, ninety eight percent of agencies plan to adopt hybrid architectures, however simply 38 percent can have the tactics and tools they deserve to function that ambiance.

    To tackle a few of that complexity IBM Cloud Integration Platform (ICP) is an amalgamation of new and more suitable IBM cloud accessories. large Blue says it will let clients securely connect functions, software and services from any dealer even with the place these systems are, cutting back integration time and costs while accelerating new application development.

    certainly the ICP runs on huge Blue’s IBM Cloud deepest ambiance which may control Kubernetes and different containers. The ICP comprises a couple of existing IBM offerings that include here.

    IBM MQ series messaging middleware:  IBM MQ is utility that simplifies and hurries up the combination of purposes and company facts across distinctive systems. It uses message queues to allow the exchanges of counsel and presents a single messaging system for cloud, mobile, internet of things (IoT) and on-premises environments. IBM says via connecting just about everything from an easy pair of functions to probably the most advanced company environments, MQ helps businesses increase enterprise responsiveness, control charges, cut back possibility and profit true-time recognition from mobile, IoT and sensor statistics.

    enterprise-grade Kafka: chiefly IBM experience Streams is a platform developed on the widely wide-spread open supply Apache Kafka large facts know-how and a key open-supply know-how that underpins responsive and clever purposes. experience Streams helps groups center of attention on writing purposes as opposed to deploying middleware. It allows shoppers to deploy mission-crucial workloads and helps them connect new functions to existing infrastructure, IBM says.

    The platform also contains aid for integrating siloed application on premises and within the cloud with support for key APIs equivalent to relaxation, IBM mentioned.

    The theory is that with the entire integration accessories of the platform clients can reduce coding time and costs with the aid of reusing assets they are familiar with, Soto observed.

    providing a multi-cloud, moveable hybrid integration answer is vital for IBM in a few ways, mentioned Cassandra Mooshian, a senior analyst with expertise enterprise research. It vastly reduces the notion of dealer or platform lock-in, which on this planet of hybrid it is beautiful, Mooshian referred to.

    “It underscores that IBM is willing to play in a multivendor world (in preference to merchandising IBM IaaS because the know-how underpinning ICP and options atop it), it will probably support convey IBM to the table greater commonly in commercial enterprise and midmarket groups now that it is ‘enjoying quality’ extra commonly with peers, and it addresses a fundamental ache factor that IT departments are facing, linking on-prem apps and information to cloud apps and facts such that processes can develop into extra efficient and consumers can get probably the most enterprise value," Mooshian, talked about.

    The Cloud Integration Platform was only one of a few IBM cloud announcements that emanated from its consider 2019 gathering this week in San Francisco.  Others included:

  • Watson AI for all: previously IBM’s Watson ran simplest on huge Blue’s Cloud deepest system but that modified this week. The company introduced that customers working Amazon, Google, Microsoft and other cloud functions may be able to take capabilities of Watson’s intelligence by way of being capable of run IBM Watson functions, including Watson Assistant and Watson OpenScale.   IBM stated with Watson, purchasers may be capable of practice AI to facts wherever it's hosted and with its set of functions, building tools, computing device-learning models and management features. Watson can help agencies mine information, predict results and automate time- and aid-sensitive tactics. businesses can additionally increase conversational capabilities reminiscent of virtual client-provider agents, IBM said.
  • Hyper-protection: built on IBM LinuxONE know-how, which facets pervasive encryption support, IBM Cloud Hyper give protection to services is geared toward securing massive Blue’s public-cloud offering. The provider will deliver encryption-key management with a committed cloud hardware safety module (HSM) developed on FIPS 140-2 stage 4-based mostly technology.
  • Cloud at your provider: IBM rolled out a service consumers can discuss with to build hybrid-cloud environments. IBM functions is setting up committed teams of consultants certified in the latest capabilities and technologies throughout diverse cloud platforms.
  • Multi-cloud management: The enterprise has brought IBM functions for Multicloud administration to deliver a single system to assist agencies control IT substances throughout dissimilar cloud suppliers, on-premises environments and private clouds. The service lets consumers track charges and video display carrier degrees amongst different initiatives.
  • be a part of the network World communities on facebook and LinkedIn to comment on issues that are accurate of mind.

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    IBM Big Data and Analytics Sales Mastery v2

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    No result found, try new keyword!In 2012, the company made it clear it wants to focus on high value segments with fatter profit margins and earn 50% of sales from ... that deal with Big Data and are paranoid about data security. Runn...

    Intel Advances Next Phase of Big Data Intelligence: Real Time Analytics | killexams.com real questions and Pass4sure dumps

    SANTA CLARA, Calif.--(BUSINESS WIRE)--To help companies in a variety of industries from retail and healthcare to banking and transportation turn data into actionable insights, Intel Corporation today introduced the Intel® Xeon® processor E7 v2 family.

    Using analytics enables businesses to make decisions that improve top-line and bottom-line results. The Intel Xeon processor E7 v2 family delivers new capabilities to process and analyze large, diverse amounts of data to unlock information that was previously inaccessible.

    “Organizations that leverage data to accelerate business insights will have a tremendous edge in this economy,” said Diane Bryant, senior vice president and general manager of Intel’s Data Center Group. “The advanced performance, memory capacity and reliability of the Intel Xeon processor E7 v2 family enable IT organizations to deliver real-time analysis of large data sets to spot and capitalize on trends, create new services and deliver business efficiency.”

    Big data and the Internet of Things (IoT) are providing enormous opportunities for many organizations to grow as they create revenue-generating services from the information they are able to derive. The big data technology and services market is expected to grow 27 percent annually through 2017 to reach $32.4 billion4. A leading driver of this growth is the immense amount of data coming from connected devices making up the IoT, which is projected to grow to 30 billion devices by 20205. Investments in the highest performing technologies and analysis solutions can also deliver significant cost savings. For example, Intel’s IT organization expects to achieve cost savings and increased bottom-line revenue of nearly half a billion dollars through use of analytics solutions by 2016.

    New Big Data Processing and Analytics Capabilities with Relentless Reliability

    The Intel Xeon processor E7 v2 family has triple the memory capacity of the previous generation processor family, allowing much faster and thorough data analysis. In-memory analytics places and analyzes an entire data set – such as an organization’s entire customer database – in the system memory rather than on traditional disk drives. This method is gaining in popularity due to the increased need for more complex analytics. Industry analyst firm Gartner expects 35 percent6 of mid- to large-sized companies will adopt in-memory analytics by 2015, up from 10 percent in 2012 and predicts at least 50 percent of Global 2000 companies will use in-memory computing to deliver significant additional benefits from investments in enterprise resource planning (ERP).

    eBay, one of the world's largest and most complex online marketplaces, handles massive data sets of more than 50 petabytes (PB) for more than 100 million users. Based on initial testing of the new Intel Xeon processor E7 v2 and SAP’s HANA* in-memory analytics software, eBay has seen greater performance7 and understanding of larger data sets that will help drive additional revenue opportunities for its customers.

    Built for up to 32-socket8 servers, with configurations supporting up to 15 processing cores and up to 1.5 terabytes (TB) of memory per socket, the new processor family achieves twice the average performance of the previous generation3. These enhancements help businesses that run mission critical applications including business support systems (BSS), customer relationship management (CRM), and ERP to operate more efficiently, at lower cost and with faster response times2. For example, a sales team with these capabilities can maximize revenue by pinpointing the best time to sell a product, or let an oil and gas company better predict when its platforms require preventative maintenance.

    To reduce data bottlenecks, the Intel Xeon Processor E7 v2 family features Intel® Integrated I/O, Intel® Data Direct I/O and support for PCIe 3.0*, achieving up to four times the I/O bandwidth over the previous generation9 and providing extra capacity for storage and networking connections.

    System uptime and reliability also remains a key requirement for mission critical applications. The Intel Xeon Processor E7 v2 family continues Intel’s tradition of delivering world-class reliability, availability and serviceability (RAS). Intel® Run Sure Technology10 is designed for “five nines” solutions essential for business-critical data by reducing the frequency and cost of planned and unplanned downtime.

    Extensive Industry Support

    Starting today, 21 system manufacturers from around the world will announce more than 40 Intel Xeon processor E7 v2 family-based platforms. These manufacturers include Asus*, Bull*, Cisco*, Dell*, EMC*, Fujitsu*, Hitachi*, HP*, Huawei*, IBM*, Inspur*, Lenovo*, NEC*, Oracle*, PowerLeader*, Quanta*, SGI*, Sugon*, Supermicro*, Unisys* and ZTE*. Numerous analytics software vendors also support Xeon processor E7 v2 family-based platforms, including Altibase*, IBM*, Microsoft*, Oracle*, Pivotal*, QlikView*, Red Hat*, SAP*, SAS*, Software AG*, Splunk*, Sungard*, Teradata*, TongTech*, Vertica* and YonYou*.

    About Intel

    Intel (NASDAQ: INTC) is a world leader in computing innovation. The company designs and builds the essential technologies that serve as the foundation for the world’s computing devices. Additional information about Intel is available at newsroom.intel.com and blogs.intel.com.

    Intel, Intel logo and Intel Xeon are trademarks of Intel Corporation in the United States and other countries.

    *Other names and brands may be claimed as the property of others.

    Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products.

    Results have been measured by Intel based on software, benchmark or other data of third parties and are provided for informational purposes only. Any difference in system hardware or software design or configuration may affect actual performance. Intel does not control or audit the design or implementation of third party data referenced in this document. Intel encourages all of its customers to visit the websites of the referenced third parties or other sources to confirm whether the referenced data is accurate and reflects performance of systems available for purchase.

    The TCO or other cost reduction scenarios described in this document are intended to enable you to get a better understanding of how the purchase of a given Intel product, combined with a number of situation-specific variables, might affect your future cost and savings. Nothing in this document should be interpreted as either a promise of or contract for a given level of costs.

    1. Intel Xeon processor E7 v2 family provides the largest memory footprint of 1.5 TB per socket vs 1TB per socket delivered by alternative architectures, based on published specs.

    2. Up to 80% leadership performance on Xeon E7 v2 over IBM Power* 7+ at ~80% lower TCO claim based on Intel estimated SPECint*_rate_base2006 results and pricing of comparable 4-socket rack server using Intel® Xeon® processor E7-4890 v2 (37.5M Cache, 2.8 GHz, 15-Cores) to IBM POWER*750 using POWER7+ (80M Cache, 4.0 GHz, 8-Cores) as of December 2013.

    3. Up to double the average generational performance based on results of six key industry-standard workloads: SPECint*_rate_base2006+, SPECfp*_rate_base2006+, brokerage on-line transaction processing (OLTP) database workload, warehouse supply chain OLTP database workload, STREAM memory bandwidth and LINPACK GFLOPS. Configurations: 4-socket server using Intel® Xeon® processor E7-4890 v2 (new processor) vs. E7-4870 (previous generation processor). Learn more about Xeon E7 v2 performance at http://www.intel.com/content/www/us/en/benchmarks/server/xeon-e7-summary.html

    4. Source: IDC WW Big Data Technology and Services 2013-2017 Forecast, Doc #244979, Dec 2013

    5. Source: IDC Market Analysis Perspective: Worldwide Enterprise Servers, 2013 — Technology Market, Doc #245080

    6. Source: Gartner "Top Technology Trends, 2013: In-Memory Computing Aims at Mainstream Adoption"

    7. eBay’s test systems configurations are not disclosed but the observed results are consistent with Intel’s internal measurements from November 2013 showing 2x performance increase when using SAP HANA based on these configurations:Baseline 1.0x: Intel E7505 Chipset using four Intel Xeon processors E7-4870 (4P/10C/20T, 2.4GHz) with 256GB DDR3-1066 memory scoring 110,061 queries per hour. Source: Intel Technical Report #1347.New Generation 2x: Intel C606J Chipset using four Intel Xeon processors E7-4890 v2 (4P/15C/30T, 2.8GHz) with 512GB DDR3-1333 (running 2:1 VMSE) memory scoring 218,406 queries per hour. Source: Intel Technical Report #1347.

    8. Requires node controller (available from 3rd party sources).

    9. Up to 4X I/O bandwidth claim is based on Intel estimates on an internal bandwidth tool running the 1R1W test of the Intel Xeon processor E7-4890 v2 performance normalized against the improvements over dual-IOH Intel Xeon processor E7-4870.

    10. No computer system can provide absolute reliability, availability or serviceability. Requires an Intel® Xeon® processor E7-8800/4800/2800 v2 product families or Intel® Itanium® 9500 series-based system (or follow-on generations of either). Built-in reliability features available on select Intel® processors may require additional software, hardware, services and/or an internet connection. Results may vary depending upon configuration. Consult your system manufacturer for more details.


    Top IT news stories from IBM, Dell and Red Hat | killexams.com real questions and Pass4sure dumps

    A few major IT vendors made big changes this year including new architectures, strategies and services to remain profitable in quickly evolving markets.

    Here's a recap of IBM, Dell and Red Hat's big moves in 2014 -- so far.

    1. IBM X6 systems with Intel target cloud, big data

    Designed to boost performance and reliability, IBM's X6 architecture had a lot to live up to when it was released in January. IBM intended to boost its Intel-based servers in the cloud computing and big data markets with its newest X version. The X6 architecture is substantially different than the X5, but further develops Intel's model of disaggregating processors from memory in large rack servers.

    With declining sales from its hardware business, IBM must make a smooth transition to software and services. Although X6 was intended to make System X more attractive to potential buyers with its Power compatibility, it remains to be seen whether it leads to a significant increase in numbers.

    2. Dell software to the rescue?

    With less than ideal hardware sales, Dell must step up its software game to remain a major IT vendor.

    In February, Dell went private and has since worked to become a software and services supplier. But its failure to convey a vision for its software, combined with in-house politics, has weighed the company down.

    However, Dell has forged a number of cloud partnerships this year, including Red Hat, opened a cloud brokerage service and recently re-committed to delivering PCs as a way to boost its software and services business.

    3. Forget RISC, x86 is the way to go

    With hopes of x86 becoming the big data architecture of the enterprise, Intel's Xeon E7 v2 processor brings increased memory capacity to x86 servers, competing with IBM Power-based servers thanks to in-memory analytics.

    With the new processor's big data architecture, performance is double that of previous generation processors. The chip also promises faster enterprise big data analytics with a scale-up approach.

    4. RHEL 7 arrives to subdued excitement

    Red Hat Enterprise Linux (RHEL) 7 had many new features, from deeper integration with Windows Active Directory and kernel advances, to Project Atomic. The RHEL 7 roadmap, released in April, includes advancements in Linux containers with Docker integration. Other improvements simplify upgrades from previous versions of RHEL, to demonstrate Red Hat's intent to keep the newest OS version simple for enterprise deployments.

    In June, 2013, after the initial RHEL 7 roadmap was revealed at the Red Hat Summit, the director of software engineering at Red Hat, Denise Dumas, called the changes a "no-brainer." So far, the transition has been smooth for end users.

    5. Big Blue's cloud offers survival route

    IBM is down, but not out.

    Its Power servers are losing traction and the mainframe hasn't fared better. But it has made a number of moves to improve its financials, including the sale of x86 servers to Lenovo.

    Going forward, the company must look to software and cloud services to succeed as market forces erode its server hardware business.

    IBM hopes the cloud services business brings reprieve, but if it doesn't, slower release cycles could leave IBM customers in a lurch. While IBM bets on its SoftLayer cloud to satisfy users, the reality is the cloud market is highly competitive and will remain a tough hill to climb.



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