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C2090-603 IBM System z Solution Sales V6

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C2090-603 exam Dumps Source : IBM System z Solution Sales V6

Test Code : C2090-603
Test cognomen : IBM System z Solution Sales V6
Vendor cognomen : IBM
exam questions : 52 actual Questions

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IBM IBM System z Solution

IBM (IBM) Up three.9% due to the fact final profits file: Can It proceed? | killexams.com actual Questions and Pass4sure dumps

A month has passed by considering the fact that the ultimate income record for IBM (IBM). Shares maintain added about three.9% in that point frame, underperforming the S&P 500.

Will the recent high-quality vogue proceed main up to its next salary liberate, or is IBM due for a pullback? before they dive into how investors and analysts maintain reacted as of late, let's hold a brief seem to exist at the most contemporary salary record in order to bag a higher address on the vital drivers.

IBM q4 earnings Beat Estimates, Revenues Decline Y/Y

overseas company Machines Corp delivered fourth-quarter 2018 non-GAAP revenue of $four.87 per share, which beat the Zacks Consensus rate of $four.eighty one per share. despite the fact, revenue per share (EPS) decreased 5.9% from the 12 months-ago quarter. The 12 months-over-year decline in EPS will furthermore exist attributed to higher tax expense.

Revenues of $21.76 billion maintain been very nearly based on the Zacks Consensus rate of $21.74 billion and declined three.5% on a year-over-12 months basis. At uniform currency (cc), revenues dipped 1%. The yr-over-12 months decline can basically exist attributed to currency fluctuation and headwinds from IBM Z product cycle.

primarily, IBM cited that signings surged 21% on cc basis to $15.8 billion. features backlog declined 1% 12 months over 12 months and got here in at $116 billion.

Geographic salary details

Revenues from Americas were down 4%, reflecting the headwind from the IBM Z product cycle. although, persisted boom in Latin the us become a positive.

Europe, middle-East and Africa expanded 2% from the year-ago quarter chiefly because of augment in Spain, Germany, Italy and the U.ok.

Asia-Pacific revenues declined 1% on a 12 months-over-year foundation with modest augment in Japan.

Strategic Imperatives augment Continues

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

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

Cloud revenues surged 6% from the 12 months-ago quarter to $5.7 billion and 19% (with the exception of IBM Z product cycle influence). The annual run cost for cloud as-a-carrier revenues expanded 21% at cc on a 12 months-over-12 months foundation to $12.2 billion.

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

Cognitive Revenues Surge

Cognitive solutions’ revenues-exterior increased 2% yr over yr (on cc basis) to $5.5 billion. Revenues from Cognitive solutions (including options application and transaction processing) accelerated essentially due to augment in solutions application, including analytics and synthetic intelligence (AI).

Segmental revenues touching on Strategic Imperatives and Cloud improved 9% and 5%, respectively. Cloud as-a-carrier income annual run rate was $2 billion.

solutions utility includes choices in strategic verticals fancy health, area-selected capabilities fancy analytics and protection, and IBM’s rising technologies of AI and blockchain. The section furthermore comprises offerings that address horizontal domains fancy collaboration, commerce and ability. in the said quarter, options software revenues improved 3% 12 months over 12 months.

IBM brought up that the integration of AI into choices fancy consumer journey analytics in commerce domain helped SaaS signings to develop in double digit in the reported quarter.

Transaction Processing software contains utility that runs mission-vital workloads, leveraging IBM’s hardware structures. Revenues had been up 1% on a 12 months-over-yr foundation.

IBM witnessed boom in trade verticals fancy health, key areas of analytics and safety in the quarter. Watson health witnessed huge-based augment in Payer, issuer, Imaging and lifestyles Sciences domains.

during the fourth quarter, IBM accelerated partnership with Vodafone neighborhood. Per the deal, IBM’s superior hybrid cloud platform, AI, web of things (“IoT”) capabilities will support Vodafone company with digital transformation initiatives.

IBM cited that analytics performed well within the quarter, pushed by means of facts science choices and IBM Cloud deepest for facts offering.

protection augment become driven by choices in orchestration, records protection and endpoint administration.

Story continues

In blockchain, IBM announced addition of a brace of current customers sum over the quarter, which contains “work with smart Dubai on the focus East’s first government-endorsed blockchain platform.” The enterprise additionally unveiled an on-prem providing sum the way through the suggested quarter, the IBM Blockchain Platform for IBM Cloud private. a number of current deal wins is additionally assisting IBM to produce stronger its foothold in blockchain technology.

global company functions Revenues raise

Revenues from world industry services-external section maintain been $4.3 billion, up 4% from the 12 months-in the past quarter (up 6% at cc). The 12 months-over-12 months boost was basically as a result of augment across sum three enterprise areas particularly consulting, application management and world technique features.

Segmental revenues relating Strategic Imperatives grew 14%. Cloud supervene surged 34%. Cloud as-a-carrier profits annual run cost turned into $2.1 billion.

application administration revenues accelerated 4% from the yr-in the past quarter. international manner features revenues climbed 5%. additionally, Consulting revenues elevated 10% yr over year, pushed by way of wonderful efficiency from IBM’s digital enterprise.

technology services & Cloud platforms: Revenues Dip

Revenues from expertise services & Cloud platforms-exterior decreased 3% from the 12 months-in the past quarter (flat at cc) to $eight.9 billion. Segmental revenues pertaining to Strategic Imperatives superior 13%, driven through hybrid cloud capabilities. Cloud surged 22% from the yr-in the past quarter. Cloud as-a-carrier income annual run fee became $8 billion.

Integration utility elevated 4% from the year-in the past quarter. sum over the pronounced quarter, greater than 100 corporations sum over selected IBM Cloud inner most offering. Infrastructure features revenues were flat on a yr-over-12 months groundwork.

Technical assist capabilities revenues decreased 3% from the 12 months-in the past quarter.

power & z14 pressure systems Revenues

systems revenues decreased 21% on a 12 months-over-year groundwork (down 20% at cc) to $2.6 billion, primarily due to impact of the IBM Z product cycle. Segmental revenues concerning Strategic Imperatives plunged 22%, while Cloud revenues declined 31%.

IBM Z revenues reduced forty four% yr over 12 months. although, MIPS talent has extended around 20%, driven with the aid of extensive-based adoption of the z14 mainframe.

vigor revenues improved 10% from the 12 months-in the past quarter. The upside turned into in particular as a result of Linux and efficacious adoption across the latest POWER9-primarily based structure.

throughout the fourth quarter, IBM completed the launch of its next technology POWER9 processors for midrange and high-conclusion methods which are designed for handling advanced analytics, cloud environments and facts-intensive workloads in AI, HANA, and UNIX markets.

IBM additionally added current offerings optimizing each hardware and application for AI. administration believes that products fancy PowerAI imaginative and prescient and PowerAI industry will support constrain current consumer adoption.

although, storage hardware revenues declined owing to weak efficiency within the mid-latitude conclusion, in Part offset via powerful boom in sum flash Arrays. IBM pointed out that pricing drive in the immensely competitive storage market is hurting revenues. The company introduced its current FlashSystems with subsequent era NVMe technology during the reported quarter.

working methods application revenues declined three%, whereas programs Hardware slumped 23% from the year-ago quarter.

at last, international Financing (includes financing and used machine revenue) revenues diminished 11% yr over yr and 9% at cc to $402 million.

operating details

Non-GAAP gross margin remained unchanged from the yr-ago quarter at 49.5%. The gross margin benefited primarily by means of one hundred ninety groundwork elements (bps) enlargement in services margin. youngsters, negative mix in IBM Z product cycle fully offset this growth.

operating cost declined 5.three% yr over 12 months, because of recognition of acquisition synergies and improving operational efficiencies. IBM continues to set money into rapidly turning out to exist fields fancy hybrid cloud, artificial intelligence (AI), safety and blockchain.

Pre-tax margin from continuing operations improved 50 bps on a yr-over-year groundwork to 23.1%.

Cognitive solutions and world enterprise functions phase pre-tax margins accelerated 290 bps and 520 bps, respectively, on a 12 months-over-12 months foundation. however, technology capabilities & Cloud platforms phase pre-tax margin contracted 20 bps.

Non-GAAP operating margins from continuing operations contracted ninety bps and got here in at 20.3%.

steadiness Sheet & money circulate particulars

IBM ended fourth-quarter 2018 with $eleven.99 billion in total cash and marketable securities in comparison with $14.70 billion at the cessation of third-quarter 2018. complete debt (together with present portion) changed into $forty five.8 billion, down from $46.9 million from the previous quarter.

IBM reported cash circulate from operations (except international Financing receivables) of $7.3 billion and generated free money stream of $6.5 billion within the quarter under assessment.

in the stated quarter, the industry back $3.5 billion to shareholders through dividends and share repurchases. The company again more than $10 billion to shareholders through dividends and share repurchases for the entire fiscal yr.

on the conclusion of the year, the enterprise had $3.3 billion closing under existing buyback authorization.

Fiscal 2018 Highlights

IBM stated fiscal 2018 non-GAAP earnings of $13.81 per share, the plot as revenues got here in at $79.6 billion, up 1% each and every year over yr.

Revenues from Cognitive solutions, global enterprise services, know-how capabilities & Cloud platforms, techniques and global Financing came in at $18.48 billion, $sixteen.82 billion, $34.forty six billion, $eight.03 billion and $1.fifty nine billion, respectively.

suggestions

IBM expects non-GAAP EPS forecast for 2019 to exist as a minimum $13.90.

IBM silent anticipates 2019 free cash movement of $12 billion.

How maintain Estimates Been piteous in view that Then?

It seems, fresh estimates flatlined sum over the previous month.

VGM ratings

at the present, IBM has a subpar boom ranking of D, although its Momentum score is doing a total lot more suitable with a B. Charting a byalongshot equivalent path, the inventory turned into allotted a grade of A on the cost facet, inserting it within the precise quintile for this investment method.

standard, the stock has an combination VGM rating of B. in case you don't seem to exist focused on one strategy, this ranking is the one you should exist drawn to.

Outlook

IBM has a Zacks Rank #3 (dangle). They predict an in-line return from the inventory in the next few months.

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ScyllaDB proclaims assist for IBM vigour methods for actual Time huge facts | killexams.com actual Questions and Pass4sure dumps

these days precise-time database enterprise ScyllaDB announced a current Scylla enterprise free up with optimizations for IBM vigour device Servers with the IBM POWER9 multi-core structure. by means of combining Scylla’s particularly performant, close-to-the-hardware design with subsequent-generation IBM vitality outfit Servers, groups can compass current degrees of performance while furthermore reducing the footprint, can suffuse and complexity of their programs.

ScyllaDB has designed a magnificent distributed database that extends the performance merits we’ve introduced with their multi-core POWER9 processors,” spoke of Tim Vincent, IBM Fellow and vice chairman of IBM Cognitive systems. “The amalgam of the Scylla NoSQL database and their power outfit Servers permits their shared customers to scale up their programs instead of perpetually scaling out, developing current opportunities for information core consolidation and expense efficiency.”

This integration builds upon a multi-faceted relationship between ScyllaDB and IBM. In 2016, IBM Compose sum started presenting Scylla as a Part of their database-as-a-service providing. The collaboration has because grown to encompass further IBM divisions, together with IBM systems (each IBM vigour techniques and Z methods), IBM Cloud (together with IBM Graph as a carrier) and IBM’s inside expend of Scylla to vitality the IBM Cloud carrier Catalog.

Scylla is an open supply drop-in substitute for Apache Cassandra. It can provide scale-up efficiency of 1,000,000 IOPS per node, scales out to tons of of nodes, and normally achieves a ninety nine% tail latency of lower than 1 millisecond. Scylla’s pioneering shard-per-core implementation, asynchronous structure and auto-tuning capabilities permit businesses to immediately leverage the total advantages of the multi-core POWER9 chip.

IBM energy methods servers are designed for mission-vital functions and rising Cognitive era workloads including artificial intelligence, desktop discovering, abysmal gaining information of, advanced analytics and high-performance computing. even if deployed in a personal, public or hybrid cloud, vitality outfit Servers are able to performing millions of I/O operations per 2nd. as a result of Scylla operates asynchronously, it's capable of hold replete talents of the pace of the POWER9 processor, riding both I/O and CPU processing in a manner that scales linearly with the number of cores on the CPU.

we are excited with the aid of the various advancements IBM has made with its vitality system Servers,” stated Dor Laor, CEO of ScyllaDB. “As records volumes proceed to increase, groups should technique superior workloads yet additionally stay away from introducing more complexity into their systems. The amalgam of Scylla and IBM POWER9 promises unprecedented efficiency, scale, density and efficiency while drastically simplifying the executive visitation of huge information systems.”

Scylla database variants with assist for IBM vigour methods are available for down load from the ScyllaDB web page.

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

In September 2018, IBM announced a current product, IBM Db2 AI for z/OS. This artificial intelligence engine monitors data access patterns from executing SQL statements, uses machine learning algorithms to resolve on optimal patterns and passes this information to the Db2 query optimizer for expend 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 limn 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 expend 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 move system configuration changes that can help performance.

    The next step was to implement this suite to anatomize 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 universal Db2 subsystem performance is an considerable 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 antecedent 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 huge data applications, cloud application and database services, software installation and configuration, Db2 subsystem and application performance tuning, database definition and management, catastrophe recovery planning, and more. Query tuning has been in being 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 exist accessed and develops a list of candidate data access paths. These access paths can comprehend indexes, table scans, various table link methods and others. In the data warehouse and huge data environments there are usually additional choices available. One of these is the being 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 comprehend software suites that allow the industry analyst to expend 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 sequel splendid analytics on your multiple data stores you requisite a splendid 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 ripen staff nearing retirement?

    Understand furthermore that a big Part of reducing the total cost of ownership of these systems is to bag 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 capitalize from performance tuning, one approach is to automate the detection and correction of tuning issues. This is where machine learning and artificial intelligence can exist used to noteworthy effect.

    Db2 12 for z/OS and artificial Intelligence

    Db2 version 12 on z/OS uses the machine learning facilities mentioned above to collect 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 expend the model scoring data as input to its access path preference algorithm.

    The result should exist 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 handicap is that using AI software does not require the DBA to maintain data science skills or abysmal 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 exist particularly considerable if you store data in multiple places. For example, many analytical queries against huge data require concurrent access to inevitable 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 deem 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 exist used by some huge data queries. In this environment it is common to hold the dimension tables and copy them regularly to the huge data application. In the IBM world this location is the IBM Db2 Analytics Accelerator (IDAA).

    Now cerebrate about SQL queries from both operational applications, data warehouse users and huge data industry analysts. From Db2's perspective, sum these queries are equal, and are forwarded to the Optimizer. However, in the case of operational queries and warehouse queries they should most likely exist directed to access the StoreLocation table in the warehouse. On the other hand, the query from the industry analyst against huge data tables should probably access the copy of the table there. This results in a proliferations of potential access paths, and more drudgery for the Optimizer. Luckily, Db2 AI for z/OS can provide the Optimizer the information it needs to produce 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 accountfor operation, an SQL statement is passed to the Optimizer;
  • The Optimizer chooses the data access path; as the preference is made, Db2 AI captures the SQL syntax, access path preference and query performance statistics (CPU used, etc.) and passes it to a "learning task";
  • The learning task, which can exist 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 furthermore can exist 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 confiscate changes to access path choices.
  • There are furthermore 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 noteworthy sequel in Db2 version 12 to help the performance of analytical queries as well as operational queries and their associated applications. This requires management attention, as you must verify that your industry 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 exist 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 sequel you know your data, its distribution, its integrity and your current and proposed access paths? This will determine where the DBAs disburse 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 sum articles by Lockwood Lyon


    Microsoft Vs. IBM: One pellucid Winner | killexams.com actual questions and Pass4sure dumps

    No result found, try current keyword!10 and 30 times sales and ... including cognitive solutions, which is home to IBM's much-hyped Watson AI platform. The huge decline in systems was caused by the launch of the Z-mainframe rolling ...

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

    A month has gone by since the ultimate earnings report for IBM (IBM). Shares maintain 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 they dive into how investors and analysts maintain reacted as of late, let's hold a quick scrutinize at the most recent earnings report in order to bag a better ply on the considerable drivers.

    IBM Q4 Earnings Beat Estimates, Revenues Decline Y/Y

    International industry Machines Corp delivered fourth-quarter 2018 non-GAAP earnings of $4.87 per share, which beat the Zacks Consensus rate 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 exist attributed to higher tax rate.

    Revenues of $21.76 billion were almost in line with the Zacks Consensus rate 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 exist 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 fancy health, domain-specific capabilities fancy analytics and security, and IBM’s emerging technologies of AI and blockchain. The segment furthermore includes offerings that address horizontal domains fancy 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 fancy customer sustain 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 fancy 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 industry 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 current clients during the quarter, which includes “work with Smart Dubai on the Middle East’s first government-endorsed blockchain platform.” The company furthermore unveiled an on-prem offering during the reported quarter, the IBM Blockchain Platform for IBM Cloud Private. Several current deal wins is furthermore aiding IBM to strengthen its foothold in blockchain technology.

    Global industry Services Revenues Increase

    Revenues from Global industry Services-external segment were $4.3 billion, up 4% from the year-ago quarter (up 6% at cc). The year-over-year augment was primarily due to growth across sum three industry areas namely consulting, application management and global process services.

    Segmental revenues pertaining to Strategic Imperatives grew 14%. Cloud exercise 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 stalwart 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 furthermore introduced current offerings optimizing both hardware and software for AI. Management believes that products fancy PowerAI Vision and PowerAI Enterprise will aid drive current customer adoption.

    However, storage hardware revenues declined owing to weak performance in the mid-range end, partially offset by stalwart growth in sum flash Arrays. IBM stated that pricing pressure in the immensely competitive storage market is hurting revenues. The company announced its current 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 outfit 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 fancy 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 industry 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 flood Details

    IBM ended fourth-quarter 2018 with $11.99 billion in total cash and marketable securities compared with $14.70 billion at the cessation 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 flood from operations (excluding Global Financing receivables) of $7.3 billion and generated free cash flood 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 replete fiscal year.

    At the cessation 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 industry 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 exist at least $13.90.

    IBM silent anticipates 2019 free cash flood of $12 billion.

    How maintain Estimates Been piteous 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 byalongshot 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 exist interested in.

    Outlook

    IBM has a Zacks Rank #3 (Hold). They anticipate 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 bag this free report International industry Machines Corporation (IBM) : Free Stock Analysis Report To read this article on Zacks.com click here. Zacks Investment Research



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