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000-604 - IBM System z Technical V5 - BrainDump Information

Vendor Name : IBM
Exam Code : 000-604
Exam Name : IBM System z Technical V5
Questions and Answers : 57 Q & A
Updated On : March 19, 2019
PDF Download Mirror : 000-604 Braindumps
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000-604 exam Dumps Source : IBM System z Technical V5

Test Code : 000-604
Test Name : IBM System z Technical V5
Vendor Name : IBM
Q&A : 57 Real Questions

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IBM IBM System z Technical

Q&A: IBM Z integrates legacy expertise for a much better multicloud | killexams.com Real Questions and Pass4sure dumps

As companies enjoy the advantages of expansion in hybrid environments, they additionally face new hurdles in safety and scale. New additions to the IBM Cloud Hyper offer protection to services had been constructed with these multicloud challenges in mind, in keeping with Michael Jordan (pictured, correct), distinct engineer at IBM, and Rohit Badlaney (pictured, left), director of IBM Z as a carrier and blockchain at IBM.

Jordan and Badlaney spoke with Dave Vellante (@dvellante) and Stu Miniman (@stu), co-hosts of theCUBE, SiliconANGLE Media’s cellular livestreaming studio, right through the IBM feel event in San Francisco. They mentioned the brand new announcements round IBM’s cloud services and how the company is leveraging legacy technology for a much better hybrid offering. (* Disclosure under.)

[Editor’s note: The following answers have been condensed for clarity.]

Miniman: clarify what the news is.

Badlaney: Hyper protect is a family unit of features in-built our IBM Cloud on our cloud-in a position programs, which can be the ZR1 systems in a multi-zone form factor that provides the high-availability disaster healing. capabilities we’re asserting at this convention [are] round crypto and key administration, [which] provides the highest stages of protection for our cloud; information as a provider, which does neatly within the platform as a knowledge serving platform; [and] virtual servers tied into our Kubernetes service. We’re bringing the breadth of our Z to our cloud.

Vellante: before dispensed systems, you knew you had full visibility. have you been able to elevate that stage of transparency into the cloud?

Jordan: one of the most key areas that's a big focal point for safety in the cloud is encryption, [it] goes to be a vital part of being able to move statistics to the cloud. Being capable of convey your personal key's fully fundamental. one of the capabilities that we’ve had on the Z platform for a long time actually lend themselves well to a cloud atmosphere. Our cryptographic hardware may also be virtualized. each server i can have 16 cryptographic cards with 85 digital domains per card. Multiply that out; it serves a cloud scale very neatly. moreover, the cryptographic hardware is designed to satisfy the optimum stage of safety certification requirements.

Vellante: What’s the company case for Hyper give protection to and Z as a provider?

Badlaney: It’s round information coverage. It’s round scale. It’s not a well-recognized reality, however basically our blockchain platform and all of the success IBM’s had on blockchain has been running in our cloud on our Z systems over the closing two years with 500-plus traces. those are the kind of workloads that benefit.

Miniman: compare and contrast how security fits in Z versus public clouds.

Jordan: With Z we handle a big component of the stack, so we’re in a position to combine security into varied layers of the stack. comfy carrier containers are encrypted. You set up an application, and these containers get encrypted in flight and at relaxation. And there’s no configuration, no set up for that; it happens instantly. We digitally signal and validate all of the firmware the working system, the utility, the total package that receives loaded into one of those environments.

Now we’re into that ambiance, and we [have] constrained administrative access to steer clear of directors from having uncontrolled access to the file system. due to the fact that we personal that stack, we will truly combine these safety capabilities vertically through that stack to provide the real value and the capabilities that you simply want within the cloud to offer protection to both the utility and the statistics.

Vellant: speak a little bit concerning the roadmap.

Badlaney: The legacy of Z has at all times being scaled efficiency, hyper safety for essentially the most regulated industries, for essentially the most compliant industries and our largest firms. That’s going to proceed within the next technology. We stated hyper retaining the general public cloud, but we’re additionally increasing Kubernetes orchestration on-premise with our IBM Cloud deepest product being supported utterly on LinuxONE and increasing it to Linux workloads and Z collection workloads. Cloudification of the platform is the subsequent massive step for us.

Watch the finished video interview under, and make certain to take a look at extra of SiliconANGLE’s and theCUBE’s insurance of the IBM suppose adventure. (* Disclosure:  IBM backed this segment of theCUBE. Neither IBM nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

photograph: SiliconANGLE for the reason that you’re right here …

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leading edge Integrity experts At IBM Z systems Technical college | killexams.com Real Questions and Pass4sure dumps

LAS VEGAS, Nov. 7, 2017 /PRNewswire/ -- forefront Integrity gurus, Inc., cybersecurity specialists  with cybersecurity solutions securing any commercial enterprise, is proud to be a silver sponsor and reveal at IBM z systems Technical university 2017 in Washington, D.C., November 13 - 17, 2017.  additionally, vanguard cybersecurity experts should be available to talk about topics addressing the newest security and compliance concerns.  vanguard will spotlight its security options demonstrating how they play a essential position preserving any commercial enterprise, cloud or IBM® z/OS® security server atmosphere.

www.go2vanguard.com (PRNewsFoto/Vanguard Integrity Professionals)

IBM technical practicing hobbies are designed for technical development in IBM Z®, IBM vigor systems™ and IBM Storage.  The week is filled with ability-building classes, fingers-on labs, onsite certification checking out and a bright solution core. 

protection consultants from vanguard may be handy at IBM z techniques Technical college 2017 to talk about the newest safety and compliance themes, traits and thoughts over the multi-day conference. We invite you to return by our sales space within the solutions center within the Washington Hilton and meet with forefront executives. 

About vanguard Integrity specialists

vanguard Integrity gurus gives commercial enterprise safety software and functions that remedy complicated protection and regulatory compliance challenges for fiscal, coverage, healthcare, training, transportation and executive companies all over. vanguard gives Cybersecurity options Securing any enterprise.  the world's biggest fiscal, coverage, government businesses and agents entrust their security to vanguard Integrity gurus.  vanguard is dedicated to preserving and securing the Cloud and any commercial enterprise ambiance.  vanguard gives 24/7/365 are living client guide from the USA of the usa.

IBM, the IBM logo, IBM.com, IBM z, z techniques and z/OS are trademarks of foreign business Machines supplier registered in lots of jurisdictions in the united states and/or different nations international.

 

View usual content with multimedia:https://www.prnewswire.com/news-releases/vanguard-integrity-specialists-at-ibm-z-methods-technical-college-300550539.html

source leading edge Integrity authorities, Inc.


IBM (IBM) Up 3.9% on account that final income file: Can It continue? | killexams.com Real Questions and Pass4sure dumps

A month has passed by due to the fact the closing revenue file for IBM (IBM). Shares have delivered about 3.9% in that time frame, underperforming the S&P 500.

Will the fresh fine style continue leading up to its subsequent earnings free up, or is IBM due for a pullback? before we dive into how traders and analysts have reacted as of late, let's take a short look on the most contemporary revenue document as a way to get a far better address on the crucial drivers.

IBM this autumn income Beat Estimates, Revenues Decline Y/Y

foreign enterprise Machines Corp delivered fourth-quarter 2018 non-GAAP profits of $four.87 per share, which beat the Zacks Consensus Estimate of $4.81 per share. despite the fact, earnings per share (EPS) diminished 5.9% from the yr-in the past quarter. The year-over-12 months decline in EPS can be attributed to larger tax price.

Revenues of $21.seventy six billion were nearly according to the Zacks Consensus Estimate of $21.seventy four billion and declined 3.5% on a 12 months-over-year groundwork. At steady currency (cc), revenues dipped 1%. The yr-over-yr decline can primarily be attributed to forex fluctuation and headwinds from IBM Z product cycle.

mainly, IBM pointed out that signings surged 21% on cc foundation to $15.8 billion. features backlog declined 1% 12 months over year and got here in at $116 billion.

Geographic earnings details

Revenues from Americas were down 4%, reflecting the headwind from the IBM Z product cycle. however, persevered growth in Latin america become a positive.

Europe, middle-East and Africa improved 2% from the 12 months-in the past quarter notably due to increase in Spain, Germany, Italy and the U.ok.

Asia-Pacific revenues declined 1% on a year-over-yr foundation with modest boom in Japan.

Strategic Imperatives growth Continues

Strategic Imperatives (cloud, analytics, mobility and security) grew 5% at cc from the year-in the past quarter to $11.5 billion. with the exception of IBM Z product cycle have an impact on Strategic Imperatives grew eleven% 12 months over year.

security revenues surged 17% (except IBM Z product cycle have an impact on) and declined three% on cc foundation. On a trailing 12-month basis, Strategic Imperatives revenues have been $40 billion, up 9%.

Cloud revenues surged 6% from the yr-ago quarter to $5.7 billion and 19% (apart from IBM Z product cycle impact). The annual run price for cloud as-a-carrier revenues multiplied 21% at cc on a yr-over-year basis to $12.2 billion.

Cloud revenues of $19.2 billion on a trailing 12-month basis improved 12% yr over year.

Cognitive Revenues Surge

Cognitive solutions’ revenues-exterior multiplied 2% 12 months over year (on cc basis) to $5.5 billion. Revenues from Cognitive options (together with solutions utility and transaction processing) increased primarily due to growth in options software, including analytics and artificial intelligence (AI).

Segmental revenues referring to Strategic Imperatives and Cloud expanded 9% and 5%, respectively. Cloud as-a-service earnings annual run price changed into $2 billion.

solutions utility comprises offerings in strategic verticals like health, area-selected capabilities like analytics and security, and IBM’s rising technologies of AI and blockchain. The phase additionally includes offerings that address horizontal domains like collaboration, commerce and talent. in the mentioned quarter, options application revenues accelerated 3% year over 12 months.

IBM stated that the combination of AI into choices like client journey analytics in commerce domain helped SaaS signings to develop in double digit in the pronounced quarter.

Transaction Processing utility contains application that runs mission-vital workloads, leveraging IBM’s hardware systems. Revenues had been up 1% on a year-over-12 months basis.

IBM witnessed growth in trade verticals like fitness, key areas of analytics and security within the quarter. Watson health witnessed vast-based increase in Payer, provider, Imaging and lifestyles Sciences domains.

throughout the fourth quarter, IBM accelerated partnership with Vodafone community. Per the deal, IBM’s superior hybrid cloud platform, AI, internet of issues (“IoT”) capabilities will assist Vodafone business with digital transformation initiatives.

IBM pointed out that analytics carried out neatly in the quarter, pushed via records science choices and IBM Cloud private for statistics providing.

security increase changed into driven via choices in orchestration, data protection and endpoint management.

Story continues

In blockchain, IBM announced addition of a number of new consumers right through the quarter, which contains “work with smart Dubai on the core East’s first government-endorsed blockchain platform.” The enterprise additionally unveiled an on-prem offering right through the said quarter, the IBM Blockchain Platform for IBM Cloud inner most. several new deal wins is also assisting IBM to support its foothold in blockchain know-how.

international company capabilities Revenues boost

Revenues from global enterprise functions-exterior segment had been $four.3 billion, up 4% from the 12 months-ago quarter (up 6% at cc). The year-over-12 months raise turned into essentially due to boom across all three business areas specifically consulting, application management and world technique capabilities.

Segmental revenues pertaining to Strategic Imperatives grew 14%. Cloud practice surged 34%. Cloud as-a-carrier earnings annual run fee turned into $2.1 billion.

application administration revenues extended 4% from the yr-ago quarter. international process features revenues climbed 5%. in addition, Consulting revenues extended 10% year over yr, driven through mighty performance from IBM’s digital business.

know-how services & Cloud platforms: Revenues Dip

Revenues from know-how capabilities & Cloud platforms-exterior diminished three% from the yr-ago quarter (flat at cc) to $8.9 billion. Segmental revenues pertaining to Strategic Imperatives advanced 13%, pushed by hybrid cloud services. Cloud surged 22% from the year-ago quarter. Cloud as-a-carrier profits annual run expense was $eight billion.

Integration software extended four% from the yr-ago quarter. all the way through the reported quarter, greater than 100 businesses everywhere chosen IBM Cloud private providing. Infrastructure functions revenues have been flat on a yr-over-year foundation.

Technical aid features revenues lowered three% from the 12 months-in the past quarter.

vigour & z14 pressure systems Revenues

methods revenues reduced 21% on a year-over-12 months foundation (down 20% at cc) to $2.6 billion, essentially owing to influence of the IBM Z product cycle. Segmental revenues relating Strategic Imperatives plunged 22%, while Cloud revenues declined 31%.

IBM Z revenues reduced forty four% yr over year. youngsters, MIPS skill has multiplied around 20%, pushed by using vast-based mostly adoption of the z14 mainframe.

vigour revenues accelerated 10% from the yr-ago quarter. The upside become specifically as a result of Linux and strong adoption throughout the newest POWER9-based mostly structure.

right through the fourth quarter, IBM achieved the launch of its subsequent technology POWER9 processors for midrange and high-conclusion systems that are designed for handling advanced analytics, cloud environments and information-intensive workloads in AI, HANA, and UNIX markets.

IBM also introduced new offerings optimizing both hardware and application for AI. administration believes that products like PowerAI vision and PowerAI enterprise will support drive new client adoption.

however, storage hardware revenues declined because of susceptible efficiency within the mid-range end, partially offset via effective growth in All Flash Arrays. IBM brought up that pricing drive in the immensely competitive storage market is hurting revenues. The company announced its new FlashSystems with subsequent generation NVMe know-how right through the stated quarter.

operating methods utility revenues declined three%, while methods Hardware slumped 23% from the yr-in the past quarter.

at last, world Financing (contains financing and used equipment revenue) revenues decreased eleven% yr over year and 9% at cc to $402 million.

operating details

Non-GAAP gross margin remained unchanged from the year-ago quarter at forty nine.5%. The gross margin benefited essentially with the aid of 190 foundation aspects (bps) growth in services margin. youngsters, unfavorable mix in IBM Z product cycle entirely offset this growth.

operating expense declined 5.three% yr over 12 months, as a result of attention of acquisition synergies and improving operational efficiencies. IBM continues to put money into impulsively starting to be fields like hybrid cloud, synthetic intelligence (AI), security and blockchain.

Pre-tax margin from carrying on with operations multiplied 50 bps on a year-over-year groundwork to 23.1%.

Cognitive options and international business functions section pre-tax margins multiplied 290 bps and 520 bps, respectively, on a 12 months-over-year groundwork. however, expertise functions & Cloud structures segment pre-tax margin reduced in size 20 bps.

Non-GAAP working margins from continuing operations gotten smaller ninety bps and got here in at 20.three%.

balance Sheet & cash circulate details

IBM ended fourth-quarter 2018 with $11.ninety nine billion in total money and marketable securities compared with $14.70 billion at the conclusion of third-quarter 2018. complete debt (together with present element) became $45.8 billion, down from $forty six.9 million from the old quarter.

IBM suggested cash stream from operations (with the exception of global Financing receivables) of $7.3 billion and generated free cash flow of $6.5 billion within the quarter below review.

within the mentioned quarter, the enterprise returned $three.5 billion to shareholders via dividends and share repurchases. The enterprise again greater than $10 billion to shareholders through dividends and share repurchases for the complete fiscal 12 months.

at the end of the year, the company had $three.three billion final beneath latest buyback authorization.

Fiscal 2018 Highlights

IBM mentioned fiscal 2018 non-GAAP profits of $13.eighty one per share, where as revenues came in at $seventy nine.6 billion, up 1% each year over yr.

Revenues from Cognitive solutions, international enterprise functions, expertise features & Cloud platforms, methods and world Financing got here in at $18.forty eight billion, $sixteen.82 billion, $34.forty six billion, $eight.03 billion and $1.fifty nine billion, respectively.

tips

IBM expects non-GAAP EPS forecast for 2019 to be at least $13.ninety.

IBM nevertheless anticipates 2019 free cash circulation of $12 billion.

How Have Estimates Been relocating considering the fact that Then?

It turns out, sparkling estimates flatlined all over the past month.

VGM scores

at this time, IBM has a subpar increase ranking of D, despite the fact its Momentum ranking is doing lots stronger with a B. Charting a just a little similar direction, the inventory become allotted a grade of A on the value aspect, inserting it within the proper quintile for this investment method.

ordinary, the stock has an combination VGM rating of B. if you are not focused on one method, this ranking is the one make sure you be drawn to.

Outlook

IBM has a Zacks Rank #3 (hold). We predict an in-line return from the stock in the next few months.

desire the newest concepts from Zacks funding analysis? nowadays, that you could down load 7 foremost shares for the subsequent 30 Days. click to get this free record international business Machines agency (IBM) : Free stock evaluation file To examine this article on Zacks.com click on here. Zacks funding analysis


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IBM System z Technical V5

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IBM Db2 Query Optimization Using AI | killexams.com real questions and Pass4sure dumps

In September 2018, IBM announced a new product, IBM Db2 AI for z/OS. This artificial intelligence engine monitors data access patterns from executing SQL statements, uses machine learning algorithms to decide on optimal patterns and passes this information to the Db2 query optimizer for use by subsequent statements.

Machine Learning on the IBM z Platform

In May of 2018, IBM announced version 1.2 of its Machine Learning for z/OS (MLz) product. This is a hybrid zServer and cloud software suite that ingests performance data, analyzes and builds models that represent the health status of various indicators, monitors them over time and provides real-time scoring capabilities.

Several features of this product offering are aimed at supporting a community of model developers and managers. For example:

  • It supports multiple programming languages such as Python, Scala and R. This allows data modelers and scientists to use a language with which they are familiar;
  • A graphical user interface called the Visual Model Builder guides model developers without requiring highly-technical programming skills;
  • It includes multiple dashboards for monitoring model results and scoring services, as well as controlling the system configuration.
  • This machine learning suite was initially aimed at zServer-based analytics applications. One of the first obvious choices was zSystem performance monitoring and tuning. System Management Facility (SMF) records that are automatically generated by the operating system provide the raw data for system resource consumption such as central processor usage, I/O processing, memory paging and the like. IBM MLz can collect and store these data over time, and build and train models of system behavior, score those behaviors, identify patterns not readily foreseen by humans, develop key performance indicators (KPIs) and then feed the model results back into the system to affect system configuration changes that can improve performance.

    The next step was to implement this suite to analyze Db2 performance data. One solution, called the IBM Db2 IT Operational Analytics (Db2 ITOA) solution template, applies the machine learning technology to Db2 operational data to gain an understanding of Db2 subsystem health. It can dynamically build baselines for key performance indicators, provide a dashboard of these KPIs and give operational staff real-time insight into Db2 operations.

    While general Db2 subsystem performance is an important factor in overall application health and performance, IBM estimates that the DBA support staff spends 25% or more of its time, " ... fighting access path problems which cause performance degradation and service impact.". (See Reference 1).

    AI Comes to Db2

    Consider the plight of modern DBAs in a Db2 environment. In today's IT world they must support one or more big data applications, cloud application and database services, software installation and configuration, Db2 subsystem and application performance tuning, database definition and management, disaster recovery planning, and more. Query tuning has been in existence since the origins of the database, and DBAs are usually tasked with this as well.

    The heart of query path analysis in Db2 is the Optimizer. It accepts SQL statements from applications, verifies authority to access the data, reviews the locations of the objects to be accessed and develops a list of candidate data access paths. These access paths can include indexes, table scans, various table join methods and others. In the data warehouse and big data environments there are usually additional choices available. One of these is the existence of summary tables (sometimes called materialized query tables) that contain pre-summarized or aggregated data, thus allowing Db2 to avoid re-aggregation processing. Another option is the starjoin access path, common in the data warehouse, where the order of table joins is changed for performance reasons.

    The Optimizer then reviews the candidate access paths and chooses the access path, "with the lowest cost." Cost in this context means a weighted summation of resource usage including CPU, I/O, memory and other resources. Finally, the Optimizer takes the lowest cost access path, stores it in memory (and, optionally, in the Db2 Directory) and begins access path execution.

    Big data and data warehouse operations now include software suites that allow the business analyst to use a graphical interface to build and manipulate a miniature data model of the data they wish to analyze. The packages then generate SQL statements based on the users’ requests.

    The Problem for the DBA

    In order to do good analytics on your multiple data stores you need a good understanding of the data requirements, an understanding of the analytical functions and algorithms available and a high-performance data infrastructure. Regrettably, the number and location of data sources is expanding (both in size and in geography), data sizes are growing, and applications continue to proliferate in number and complexity. How should IT managers support this environment, especially with the most experienced and mature staff nearing retirement?

    Understand also that a large part of reducing the total cost of ownership of these systems is to get Db2 applications to run faster and more efficiently. This usually translates into using fewer CPU cycles, doing fewer I/Os and transporting less data across the network. Since it is often difficult to even identify which applications could benefit from performance tuning, one approach is to automate the detection and correction of tuning issues. This is where machine learning and artificial intelligence can be used to great effect.

    Db2 12 for z/OS and Artificial Intelligence

    Db2 version 12 on z/OS uses the machine learning facilities mentioned above to gather and store SQL query text and access path details, as well as actual performance-related historical information such as CPU time used, elapsed times and result set sizes. This offering, described as Db2 AI for z/OS, analyzes and stores the data in machine learning models, with the model analysis results then being scored and made available to the Db2 Optimizer. The next time a scored SQL statement is encountered, the Optimizer can then use the model scoring data as input to its access path choice algorithm.

    The result should be a reduction in CPU consumption as the Optimizer uses model scoring input to choose better access paths. This then lowers CPU costs and speeds application response times. A significant advantage is that using AI software does not require the DBA to have data science skills or deep insights into query tuning methodologies. The Optimizer now chooses the best access paths based not only on SQL query syntax and data distribution statistics but on modelled and scored historical performance.

    This can be particularly important if you store data in multiple places. For example, many analytical queries against big data require concurrent access to certain data warehouse tables. These tables are commonly called dimension tables, and they contain the data elements usually used to control subsetting and aggregation. For example, in a retail environment consider a table called StoreLocation that enumerates every store and its location code. Queries against store sales data may wish to aggregate or summarize sales by Location; hence, the StoreLocation table will be used by some big data queries. In this environment it is common to take the dimension tables and copy them regularly to the big data application. In the IBM world this location is the IBM Db2 Analytics Accelerator (IDAA).

    Now think about SQL queries from both operational applications, data warehouse users and big data business analysts. From Db2's perspective, all these queries are equal, and are forwarded to the Optimizer. However, in the case of operational queries and warehouse queries they should most likely be directed to access the StoreLocation table in the warehouse. On the other hand, the query from the business analyst against big data tables should probably access the copy of the table there. This results in a proliferations of potential access paths, and more work for the Optimizer. Luckily, Db2 AI for z/OS can provide the Optimizer the information it needs to make smart access path selections.

    How It Works

    The sequence of events in Db2 AI for z/OS (See Reference 2) is generally the following:

  • During a bind, rebind, prepare or explain operation, an SQL statement is passed to the Optimizer;
  • The Optimizer chooses the data access path; as the choice is made, Db2 AI captures the SQL syntax, access path choice and query performance statistics (CPU used, etc.) and passes it to a "learning task";
  • The learning task, which can be executed on a zIIP processor (a non-general-purpose CPU core that does not factor into software licensing charges), interfaces with the machine learning software (MLz Model Services) to store this information in a model;
  • As the amount of data in each model grows, the MLz Scoring Service (which also can be executed on a zIIP processor) analyzes the model data and scores the behavior;
  • During the next bind, rebind, prepare or explain, the Optimizer now has access to the scoring for SQL models, and makes appropriate changes to access path choices.
  • There are also various user interfaces that give the administrator visibility to the status of the accumulated SQL statement performance data and model scoring.

    Summary

    IBM's machine learning for zOS (MLz) offering is being used to great effect in Db2 version 12 to improve the performance of analytical queries as well as operational queries and their associated applications. This requires management attention, as you must verify that your business is prepared to consume these ML and AI conclusions. How will you measure the costs and benefits of using machine learning? Which IT support staff must be tasked to reviewing the result of model scoring, and perhaps approving (or overriding) the results? How will you review and justify the assumptions that the software makes about access path choices?

    In other words, how well do you know your data, its distribution, its integrity and your current and proposed access paths? This will determine where the DBAs spend their time in supporting analytics and operational application performance.

    # # #

    Reference 1

    John Campbell, IBM Db2 Distinguished EngineerFrom "IBM Db2 AI for z/OS: Boost IBM Db2 application performance with machine learning"https://www.worldofdb2.com/events/ibm-db2-ai-for-z-os-boost-ibm-db2-application-performance-with-ma

    Reference 2

    Db2 AI for z/OShttps://www.ibm.com/support/knowledgecenter/en/SSGKMA_1.1.0/src/ai/ai_home.html

    See all articles by Lockwood Lyon


    IBM revamps channel strategy to boost partner skills and enablement | killexams.com real questions and Pass4sure dumps

    John Teltsch (IBM)

    John Teltsch (IBM)

    Credit: IBM

    IBM has revealed a string of new channel initiatives and investments as it seeks to build key partner skills and opportunities in the year ahead.

    Unveiled during PartnerWorld at Think in San Francisco, Big Blue rolled out new initiatives including its Watson-based collaboration engine called IBM Business Partner Connect; My PartnerWorld; new software deal registration and IBM Power Systems, LinuxONE and Z ‘In It to Win It’ incentives.

    On top of this, the vendor also detailed how it was further investing in partner skills and enablement, as well as driving growth opportunities in market segments such as security and hybrid cloud.

    Specifically, IBM Business Partner Connect focuses on helping partners tap into the global ecosystem to collaborate on client opportunities, develop new business and bring new solutions to market.

    Meanwhile, the Watson-based engine will enable partners with complementary capabilities to find each other, get to market faster and sell more together, according to John Teltsch, general manager of partner ecosystem at IBM.

    My PartnerWorld, set to launch on 15 February, aims to offer a personalised on-boarding and enablement experience, giving partners the chance to manage PartnerWorld tools and shortcuts in one place. This includes My Sales Activity (MySA), the PartnerWorld Console, Co-Marketing Centre and Business Partner Connect platform.

    Additionally the new software deal registration will offer partners with priority access to special bid pricing in an effort to reduce conflict between technology providers while improving financial outcomes.

    Teltsch added this was part of the vendor's ongoing transformation efforts, which it kicked off last year, to improve partner experience and profitability, including projects around channel pricing, incentives and streamlined resale authorisation.

    In April last year, Big Blue, restructured its partner engagement models across the channel.

    Furthermore, the IBM Power Systems, LinuxONE and Z 'In It to Win It' incentives have now been made available to partners, which also extends the incentive for IBM storage into 2019, along with deploying new demand generation tactics to drive exclusive leads.

    On top of these new initiatives, the vendor is also launching an ESA co-marketing offering for partners embedding IBM technology, and across third-party marketplaces, in addition to enhancing its digital APIs amid plans to double the number of digital offerings.

    "We continue to help partners on their journey to SaaS, with more than 400 as-a-service offerings, coupled with new demos, trials and incentives to accelerate growth,” Teltsch said.

    IBM has also launched SaaS deal registration and P360, which is a tool allowing partners to see their client’s analytics.

    Partner skills and enablement

    Delving deeper, IBM also showcased its new sales enablement solution, Seismic@IBM, a tool that features sales kits, plays, presentations, use cases and other assets.

    The Value Package support bundle is also being expanded into version 2.0, whereby partners can double their IBM cloud credits; provide access to a development sandbox environment; access discount vouchers for select education events and additional subscription discounts.

    As a result, Teltsch said it was also doubling the number of system channel technical sellers to support partners in the field.

    Going forward, a new managed services security provider program (MSSP) aims to help partners build security practices and deliver solutions in either an embedded or reseller model.

    A ‘Know Your IBM’ security sales incentive will serve up reloadable IBM Rewards debit cards to partners who sell new security licenses and SaaS.

    Teltsch said it has also enabled partners to build ‘Cloud Paks,’ which are enterprise-grade container software packages with guidance and step-by-step instructions for partners to quickly build with open standards that will enable hybrid and multi-cloud deployments.

    “Built for Kubernetes on the IBM Cloud and IBM Cloud Private, IBM Cloud Paks are designed to accelerate time to production and improve readiness at lower cost than containers alone,” he explained.

    Additionally, a new Cloud Digital Technical Engagement program will supply partners with access to technical assets focused on product demos and tutorials.

    “These assets provide a deep understanding of product offerings and how they can help clients along their journey to Cloud and AI," Teltsch added. "Our new Seismic@IBM will include a link to this Cloud Digital Technical Engagement program so partners can easily access this important information while preparing for client engagements."

    According to Teltsch, the new initiatives and investments were a response to the "continuous feedback" from partners and clients.

    Teltsch revealed that during the past year, partners had doubled their number of specialist and expert competencies across its technology stack.

    “We’ve also seen significant momentum in the number of partners building their skills and selling solutions in strategic areas like IBM Security, Cloud, IoT and Watson AI, with our second Watson Build Challenge producing more than 500 AI solutions and prototypes that run on the IBM Cloud,” Teltsch said.

    During its fourth quarter results, Big Blue pointed out that its cloud business, grew 12 per cent to US$19.2 billion in 2018.

    In addition, the company's cognitive software business, including its artificial intelligence platform Watson, analytics and cyber security services and is its second biggest, reported sales of US$5.46 billion, compared with analysts' expectation of US$5.25 billion.

    Julia Talevski attended PartnerWorld at Think in San Francisco as a guest of IBM

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    IBM (IBM) Up 3.9% Since Last Earnings Report: Can It Continue? | killexams.com real questions and Pass4sure dumps

    A month has gone by since the last earnings report for IBM (IBM). Shares have added about 3.9% in that time frame, underperforming the S&P 500.

    Will the recent positive trend continue leading up to its next earnings release, or is IBM due for a pullback? Before we dive into how investors and analysts have reacted as of late, let's take a quick look at the most recent earnings report in order to get a better handle on the important drivers.

    IBM Q4 Earnings Beat Estimates, Revenues Decline Y/Y

    International Business Machines Corp delivered fourth-quarter 2018 non-GAAP earnings of $4.87 per share, which beat the Zacks Consensus Estimate of $4.81 per share. However, earnings per share (EPS) decreased 5.9% from the year-ago quarter. The year-over-year decline in EPS can be attributed to higher tax rate.

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

    Notably, IBM stated that signings surged 21% on cc basis to $15.8 billion. Services backlog declined 1% year over year and came in at $116 billion.

    Geographic Revenue Details

    Revenues from Americas were down 4%, reflecting the headwind from the IBM Z product cycle. However, continued growth in Latin America was a positive.

    Europe, Middle-East and Africa increased 2% from the year-ago quarter mainly due to growth in Spain, Germany, Italy and the U.K.

    Asia-Pacific revenues declined 1% on a year-over-year basis with modest growth in Japan.

    Strategic Imperatives Growth Continues

    Strategic Imperatives (cloud, analytics, mobility and security) grew 5% at cc from the year-ago quarter to $11.5 billion. Excluding IBM Z product cycle impact Strategic Imperatives grew 11% year over year.

    Security revenues surged 17% (excluding IBM Z product cycle impact) and declined 3% on cc basis. On a trailing 12-month basis, Strategic Imperatives revenues were $40 billion, up 9%.

    Cloud revenues surged 6% from the year-ago quarter to $5.7 billion and 19% (excluding IBM Z product cycle impact). The annual run rate for cloud as-a-service revenues increased 21% at cc on a year-over-year basis to $12.2 billion.

    Cloud revenues of $19.2 billion on a trailing 12-month basis increased 12% year over year.

    Cognitive Revenues Surge

    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 due to growth in solutions software, including analytics and artificial intelligence (AI).

    Segmental revenues pertaining to Strategic Imperatives and Cloud increased 9% and 5%, respectively. Cloud as-a-service revenue annual run rate was $2 billion.

    Solutions Software includes offerings in strategic verticals like health, domain-specific capabilities like analytics and security, and IBM’s emerging technologies of AI and blockchain. The segment also includes offerings that address horizontal domains like collaboration, commerce and talent. In the reported quarter, Solutions Software revenues increased 3% year over year.

    IBM stated that the integration of AI into offerings like customer experience analytics in commerce domain helped SaaS signings to grow in double digit in the reported quarter.

    Transaction Processing Software includes software that runs mission-critical workloads, leveraging IBM’s hardware platforms. Revenues were up 1% on a year-over-year basis.

    IBM witnessed growth in industry verticals like health, key areas of analytics and security in the quarter. Watson Health witnessed broad-based growth in Payer, Provider, Imaging and Life Sciences domains.

    During the fourth quarter, IBM expanded partnership with Vodafone Group. Per the deal, IBM’s advanced hybrid cloud platform, AI, Internet of Things (“IoT”) capabilities will aid Vodafone Business with digital transformation initiatives.

    IBM stated that analytics performed well in the quarter, driven by data science offerings and IBM Cloud Private for Data offering.

    Security growth was driven by offerings in orchestration, data security and endpoint management.

    Story continues

    In blockchain, IBM announced addition of several new clients during the quarter, which includes “work with Smart Dubai on the Middle East’s first government-endorsed blockchain platform.” The company also unveiled an on-prem offering during the reported quarter, the IBM Blockchain Platform for IBM Cloud Private. Several new deal wins is also aiding IBM to strengthen its foothold in blockchain technology.

    Global Business Services Revenues Increase

    Revenues from Global Business 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 all three business areas namely consulting, application management and global process services.

    Segmental revenues pertaining to Strategic Imperatives grew 14%. Cloud practice surged 34%. Cloud as-a-service revenue annual run rate was $2.1 billion.

    Application Management revenues increased 4% from the year-ago quarter. Global Process Services revenues climbed 5%. Moreover, Consulting revenues increased 10% year over year, driven by strong performance from IBM’s digital business.

    Technology Services & Cloud Platforms: Revenues Dip

    Revenues from Technology Services & Cloud Platforms-external decreased 3% from the year-ago quarter (flat at cc) to $8.9 billion. Segmental revenues pertaining to Strategic Imperatives advanced 13%, driven by hybrid cloud services. Cloud surged 22% from the year-ago quarter. Cloud as-a-service revenue annual run rate was $8 billion.

    Integration Software increased 4% from the year-ago quarter. During the reported quarter, more than 100 companies around the world selected IBM Cloud Private offering. Infrastructure Services revenues were flat on a year-over-year basis.

    Technical Support Services revenues decreased 3% from the year-ago quarter.

    Power & z14 Drive Systems Revenues

    Systems revenues decreased 21% on a year-over-year basis (down 20% at cc) to $2.6 billion, primarily owing to impact 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.

    Power revenues increased 10% from the year-ago quarter. The upside was mainly due to Linux and robust adoption across the latest POWER9-based architecture.

    During the fourth quarter, IBM completed the launch of its next generation POWER9 processors for midrange and high-end systems that are designed for handling advanced analytics, cloud environments and data-intensive workloads in AI, HANA, and UNIX markets.

    IBM also introduced new offerings optimizing both hardware and software for AI. Management believes that products like PowerAI Vision and PowerAI Enterprise will help drive new customer adoption.

    However, storage hardware revenues declined owing to weak performance in the mid-range end, partially offset by strong growth in All Flash Arrays. IBM stated that pricing pressure in the immensely competitive storage market is hurting revenues. The company announced its new FlashSystems with next generation NVMe technology during the reported quarter.

    Operating Systems Software revenues declined 3%, while Systems Hardware slumped 23% from the year-ago quarter.

    Finally, Global Financing (includes financing and used equipment sales) revenues decreased 11% year over year and 9% at cc to $402 million.

    Operating Details

    Non-GAAP gross margin remained unchanged from the year-ago quarter at 49.5%. The gross margin benefited primarily by 190 basis points (bps) expansion in services margin. However, unfavorable mix in IBM Z product cycle fully offset this expansion.

    Operating expense declined 5.3% year over year, due to realization of acquisition synergies and improving operational efficiencies. IBM continues to invest in rapidly growing fields like hybrid cloud, artificial intelligence (AI), security and blockchain.

    Pre-tax margin from continuing operations expanded 50 bps on a year-over-year basis to 23.1%.

    Cognitive Solutions and Global Business Services segment pre-tax margins expanded 290 bps and 520 bps, respectively, on a year-over-year basis. However, Technology Services & Cloud Platforms segment pre-tax margin contracted 20 bps.

    Non-GAAP operating margins from continuing operations contracted 90 bps and came in at 20.3%.

    Balance Sheet & Cash Flow Details

    IBM ended fourth-quarter 2018 with $11.99 billion in total cash and marketable securities compared with $14.70 billion at the end of third-quarter 2018. Total debt (including current portion) was $45.8 billion, down from $46.9 million from the previous quarter.

    IBM reported cash flow from operations (excluding Global Financing receivables) of $7.3 billion and generated free cash flow of $6.5 billion in the quarter under review.

    In the reported quarter, the company returned $3.5 billion to shareholders through dividends and share repurchases. The company returned more than $10 billion to shareholders through dividends and share repurchases for the full fiscal year.

    At the end of the year, the company had $3.3 billion remaining under current buyback authorization.

    Fiscal 2018 Highlights

    IBM reported fiscal 2018 non-GAAP earnings of $13.81 per share, where as revenues came in at $79.6 billion, up 1% each year over year.

    Revenues from Cognitive Solutions, Global Business Services, Technology Services & Cloud Platforms, Systems and Global Financing came in at $18.48 billion, $16.82 billion, $34.46 billion, $8.03 billion and $1.59 billion, respectively.

    Guidance

    IBM expects non-GAAP EPS forecast for 2019 to be at least $13.90.

    IBM still anticipates 2019 free cash flow of $12 billion.

    How Have Estimates Been Moving Since Then?

    It turns out, fresh estimates flatlined during the past month.

    VGM Scores

    At this time, IBM has a subpar Growth Score of D, however its Momentum Score is doing a lot better with a B. Charting a somewhat similar path, the stock was allocated a grade of A on the value side, putting it in the top quintile for this investment strategy.

    Overall, the stock has an aggregate VGM Score of B. If you aren't focused on one strategy, this score is the one you should be interested in.

    Outlook

    IBM has a Zacks Rank #3 (Hold). We expect an in-line return from the stock in the next few months.

    Want the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report International Business Machines Corporation (IBM) : Free Stock Analysis Report To read this article on Zacks.com click here. Zacks Investment Research



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