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IBM is expanding its Power10 line of enterprise servers, introducing new mid-range and scale-out systems.

The tech giant said the new launches were engineered for data-intensive workloads such as SAP S/4HANA, and offers additional ways to implement dynamic capacity, including metering across operating environments such as IBM i, AIX, Linux, and OpenShift.

Will McCurdy has been writing about technology for over five years. He has a wide range of specialities including cybersecurity, fintech, cryptocurrencies, blockchain, cloud computing, payments, artificial intelligence, retail technology, and venture capital investment. He has previously written for AltFi, FStech, Retail Systems, and National Technology News and is an experienced podcast and webinar host, as well as an avid long-form feature writer.

Tue, 12 Jul 2022 05:45:00 -0500 Will McCurdy en text/html https://www.techradar.com/news/ibm-is-giving-its-enterprise-server-line-up-a-huge-new-addition
Killexams : IBM aims for immediate quantum advantage with error mitigation technique

You don’t have to be a physicist to know that noise and quantum computing don’t mix. Any noise, movement or temperature swing causes qubits – the quantum computing equivalent to a binary bit in classical computing – to fail.

That’s one of the main reasons quantum advantage (the point at which quantum surpasses classic computing) and quantum supremacy (when quantum computers solve a problem not feasible for classical computing) feel like longer-term goals and emerging technology.  It’s worth the wait, though, as quantum computers promise exponential increases over classic computing, which tops out at supercomputing.  However, due to the intricacies of quantum physics (e.g., entanglement), quantum computers are also more prone to errors based on environmental factors when compared to supercomputers or high-performance computers.

Quantum errors arise from what’s known as decoherence, a process that occurs when noise or nonoptimal temperatures interfere with qubits, changing their quantum states and causing information stored by the quantum computer to be lost.

The road(s) to quantum

Many enterprises view quantum computing technology as a zero-sum scenario and that if you want value from a quantum computer, you need fault-tolerant quantum processors and a multitude of qubits. While we wait, we’re stuck in the NISQ era — noisy intermediate-scale quantum — where quantum hasn’t surpassed  classical computers.

That’s an impression IBM hopes to change.

In a blog published today by IBM, its quantum team (Kristan Temme, Ewout van den Berg, Abhinav Kandala and Jay Gambett) writes that the history of classical computing is one of incremental advances. 

“Although quantum computers have seen tremendous improvements in their scale, quality and speed in exact years, such a gradual evolution seems to be missing from the narrative,” the team wrote.  “However, exact advances in techniques we refer to broadly as quantum error mitigation allow us to lay out a smoother path towards this goal. Along this path, advances in qubit coherence, gate fidelities and speed immediately translate to measurable advantage in computation, akin to the steady progress historically observed with classical computers.”

Finding value in noisy qubits

In a move to get a quantum advantage sooner – and in incremental steps – IBM claims to have created a technique that’s designed to tap more value from noisy qubits and move away from NISQ.

Instead of focusing solely on fault-tolerant computers. IBM’s goal is continuous and incremental improvements, Jerry Chow, the director of hardware development for IBM Quantum, told VentureBeat.

To mitigate errors, Chow points to IBM’s new probabilistic error cancellation, a technique designed to invert noisy quantum circuits to achieve error-free results, even though the circuits themselves are noisy. It does bring a runtime tradeoff, he said, because you’re giving up running more circuits to gain insight into the noise causing the errors.

The goal of the new technique is to provide a step, rather than a leap, towards quantum supremacy.  It’s “a near-term solution,” Chow said, and a part of a suite of techniques that will help IBM learn about error correction through error migration. “As you increase the runtime, you learn more as you run more qubits,” he explained.

Chow said that while  IBM continues to scale its quantum platform, this offers an incremental step. Last year, IBM unveiled a 127-qubit Eagle processor, which is capable of running quantum circuits that can’t be replicated classically.  Based on its quantum roadmap laid out in May, IBM systems is on track to reach 4,000-plus qubit quantum devices in 2025.

Not an either-or scenario: Quantum starts now

Probabilistic error cancellation represents a shift for IBM and the quantum field overall. Rather than relying solely on experiments to achieve full error correction under certain circumstances, IBM has focused on a continuous push to address quantum errors today while still moving toward fault-tolerant machines, Chow said. “You need high-quality hardware to run billions of circuits. Speed is needed. The goal is not to do error mitigation  long-term. It’s not all or nothing.”

IBM quantum computing bloggers add that its quantum error mitigation technique “is the continuous path that will take us from today’s quantum hardware to tomorrow’s fault-tolerant quantum computers. This path will let us run larger circuits needed for quantum advantage, one hardware improvement at a time.”

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Tue, 19 Jul 2022 15:31:00 -0500 Dan Muse en-US text/html https://venturebeat.com/2022/07/19/ibm-aims-for-immediate-quantum-advantage-with-error-mitigation-technique/
Killexams : Enterprise Data Storage Market Capitalizing on Multiple Trends

Latest added Enterprise Data Storage Market research study by AMA Research offers detailed outlook and elaborates market review till 2027. The market Study is segmented by key regions that are accelerating the marketization. At present, the market players are strategizing and overcoming challenges of current scenario; some of the key players in the study are Microsoft Corporation (United States), Dell (United States), Hewlett Packard (United States), Hitachi Vantara Corporation (Hong Kong), Huawei Technologies Co., Ltd. (China), NetApp (United States), IBM Corporation (United States), SAS Institute Inc. (United States), Teradata Corporation (United States), Amazon Web Services, Inc. (United States), Oracle Corporation (United States), SAP SE (Germany), Talend (United States), Symantec (United States) etc.

The study explored is a perfect mix of qualitative and quantitative Market data collected and validated majorly through primary data and secondary sources.

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Enterprise Data Storage Market Definition:
Data storage hereby describes the technical means by which any form of digital data is collected and archived for the purpose of usage by a computer or any other device. The data memory comprises primary memory, which is often referred to as main memory, and secondary or auxiliary memory. In cloud data, the order of the level in which the data is stored on a memory card, hard drive, or SSD storage is generally adopted by consumers. Businesses prefer cloud storage. An enterprise storage system is a central repository in which business data and information are stored for a specific period of time depending on the needs of a company. The stored information can serve as a backup in the event of a disaster or system failure. In addition, enterprise storage is a highly scalable, fault-tolerant, and reliable storage option compared to traditional storage systems. Therefore, enterprise storage systems are better suited for companies that work with large amounts of data. Corporate storage includes hard disk drives (HDD) and solid-state drives (SSD), which are commonly used in SAN (Storage Area Networks), NAS, and DAS (Direct Attached Storage) environments. An enterprise storage system offers advantages such as data exchange, disaster recovery and high accessibility, recovery functions, and reliable and efficient backup as well as remote support and centralized administration.

The latest edition of this report you will be entitled to receive additional chapter / commentary on latest scenario, economic slowdown and COVID-19 impact on overall industry. Further it will also provide qualitative information about when industry could come back on track and what possible measures industry players are taking to deal with current situation. Each of the segment analysis table for forecast period also high % impact on growth.

This research is categorized differently considering the various aspects of this market. It also evaluates the upcoming situation by considering project pipelines of company, long term agreements to derive growth estimates. The forecast is analyzed based on the volume and revenue of this market. The tools used for analyzing the Global Enterprise Data Storage Market research report include SWOT analysis.

Influencing Trend:

  • The Expansion of the Internet of Things (IoT) Has Added Numerous New Sources of Big Data into the Data Management Background
  • Increase Scalability with Artificial Intelligence and Machine Learning, the Internet of the Things (IoT), Software-Defined Storag

Challenges:

  • Lack of Awareness and Skilled Technical Professionals

Opportunities:

  • Increasing Scalability, Flexibility, and Automation Capabilities of an Enterprise Storage Infrastructure
  • Embracing Network-Attached Storage (NAS) Solutions

Market Growth Drivers:

  • The High Adoption of Cloud Storage Technology
  • The Rapid Increase in Consumer and Machine Data Developments
  • Increasing Need for Smartphones, Laptops, PCs and Online Storage Software
  • Growing Demand for Low-Cost Data Backup and Security across All the Enterprises

The Global Enterprise Data Storage segments and Market Data Break Down are illuminated below:
by Type (Cloud Storage, Network Storage, Unified Storage, Direct Attached Storage, Storage Area Network, Software-Defined Storage, Others), Application (Industrial, Government, BFSI, Telecom, Education, Media and Entertainment, Others), Organization Size (Small And Medium-Sized Enterprises, Large Enterprises), Architecture (File Storage, Object Storage, Block Storage, Others), Deployment Type (Cloud-Based, On-Premises), Storage Type (Primary Storage (SRAM, DRAM), Secondary Storage (Magnetic Storage, Solid State Storage, Flash Drives and Optical Drives))

….

….

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The regional analysis of Global Enterprise Data Storage Market is considered for the key regions such as Asia Pacific, North America, Europe, Latin America and Rest of the World. North America is the leading region across the world. Whereas, owing to rising no. of research activities in countries such as China, India, and Japan, Asia Pacific region is also expected to exhibit higher growth rate the forecast period 2021-2027.

Highlights of the report:

  • A complete backdrop analysis, which includes an assessment of the parent market
  • Important changes in market dynamics
  • Market segmentation up to the second or third level
  • Historical, current, and projected size of the market from the standpoint of both value and volume
  • Reporting and evaluation of exact industry developments
  • Market shares and strategies of key players
  • Emerging niche segments and regional markets
  • An objective assessment of the trajectory of the market
  • Recommendations to companies for strengthening their foothold in the market

Strategic Points Covered in Table of Content of Global Enterprise Data Storage Market:

Chapter 1: Introduction, market driving force product Objective of Study and Research Scope the Enterprise Data Storage market

Chapter 2: Exclusive Summary – the basic information of the Enterprise Data Storage Market.

Chapter 3: Displaying the Market Dynamics- Drivers, Trends and Challenges & Opportunities of the Enterprise Data Storage

Chapter 4: Presenting the Enterprise Data Storage Market Factor Analysis, Porters Five Forces, Supply/Value Chain, PESTEL analysis, Market Entropy, Patent/Trademark Analysis.

Chapter 5: Displaying the by Type, End User and Region/Country 2015-2020

Chapter 6: Evaluating the leading manufacturers of the Enterprise Data Storage market which consists of its Competitive Landscape, Peer Group Analysis, BCG Matrix & Company Profile

Chapter 7: To evaluate the market by segments, by countries and by Manufacturers/Company with revenue share and sales by key countries in these various regions (2021-2027)

Chapter 8 & 9: Displaying the Appendix, Methodology and Data Source

Finally, Enterprise Data Storage Market is a valuable source of guidance for individuals and companies.

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Key questions answered

  • Who are the Leading key players and what are their Key Business plans in the Global Enterprise Data Storage market?
  • What are the key concerns of the five forces analysis of the Global Enterprise Data Storage market?
  • What are different prospects and threats faced by the dealers in the Global Enterprise Data Storage market?
  • What are the strengths and weaknesses of the key vendors?

Definitively, this report will supply you an unmistakable perspective on every single reality of the market without a need to allude to some other research report or an information source. Our report will supply all of you the realities about the past, present, and eventual fate of the concerned Market.

Thanks for studying this article, we can also provide customized report as per company’s specific needs. You can also get separate chapter wise or region wise report versions including North America, Europe or Asia.

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Killexams : IBM Aims to Capture Growing Market Opportunity for Data Observability with Databand.ai Acquisition

Acquisition helps enterprises catch "bad data" at the source

Extends IBM's leadership in observability to the full stack of capabilities for IT -- across infrastructure, applications, data and machine learning

ARMONK, N.Y., July 6, 2022  /PRNewswire/ -- IBM (NYSE: IBM) today announced it has acquired Databand.ai, a leading provider of data observability software that helps organizations fix issues with their data, including errors, pipeline failures and poor quality — before it impacts their bottom-line. Today's news further strengthens IBM's software portfolio across data, AI and automation to address the full spectrum of observability and helps businesses ensure that trustworthy data is being put into the right hands of the right users at the right time.

IBM has acquired Databand.ai, a leading provider of data observability software that helps organizations fix issues with their data, including errors, pipeline failures and poor quality.

Databand.ai is IBM's fifth acquisition in 2022 as the company continues to bolster its hybrid cloud and AI skills and capabilities. IBM has acquired more than 25 companies since Arvind Krishna became CEO in April 2020.

As the volume of data continues to grow at an unprecedented pace, organizations are struggling to manage the health and quality of their data sets, which is necessary to make better business decisions and gain a competitive advantage. A rapidly growing market opportunity, data observability is quickly emerging as a key solution for helping data teams and engineers better understand the health of data in their system and automatically identify, troubleshoot and resolve issues, like anomalies, breaking data changes or pipeline failures, in near real-time. According to Gartner, every year poor data quality costs organizations an average $12.9 million. To help mitigate this challenge, the data observability market is poised for strong growth.1

Data observability takes traditional data operations to the next level by using historical trends to compute statistics about data workloads and data pipelines directly at the source, determining if they are working, and pinpointing where any problems may exist. When combined with a full stack observability strategy, it can help IT teams quickly surface and resolve issues from infrastructure and applications to data and machine learning systems.

Databand.ai's open and extendable approach allows data engineering teams to easily integrate and gain observability into their data infrastructure. This acquisition will unlock more resources for Databand.ai to expand its observability capabilities for broader integrations across more of the open source and commercial solutions that power the modern data stack. Enterprises will also have full flexibility in how to run Databand.ai, whether as-a-Service (SaaS) or a self-hosted software subscription.

The acquisition of Databand.ai builds on IBM's research and development investments as well as strategic acquisitions in AI and automation. By using Databand.ai with IBM Observability by Instana APM and IBM Watson Studio, IBM is well-positioned to address the full spectrum of observability across IT operations.

For example, Databand.ai capabilities can alert data teams and engineers when the data they are using to fuel an analytics system is incomplete or missing. In common cases where data originates from an enterprise application, Instana can then help users quickly explain exactly where the missing data originated from and why an application service is failing. Together, Databand.ai and IBM Instana provide a more complete and explainable view of the entire application infrastructure and data platform system, which can help organizations prevent lost revenue and reputation.

"Our clients are data-driven enterprises who rely on high-quality, trustworthy data to power their mission-critical processes. When they don't have access to the data they need in any given moment, their business can grind to a halt," said Daniel Hernandez, General Manager for Data and AI, IBM. "With the addition of Databand.ai, IBM offers the most comprehensive set of observability capabilities for IT across applications, data and machine learning, and is continuing to provide our clients and partners with the technology they need to deliver trustworthy data and AI at scale."

Data observability solutions are also a key part of an organization's broader data strategy and architecture. The acquisition of Databand.ai further extends IBM's existing data fabric solution  by helping ensure that the most accurate and trustworthy data is being put into the right hands at the right time – no matter where it resides.

"You can't protect what you can't see, and when the data platform is ineffective, everyone is impacted –including customers," said Josh Benamram, Co-Founder and CEO, Databand.ai. "That's why global brands such as FanDuel, Agoda and Trax Retail already rely on Databand.ai to remove bad data surprises by detecting and resolving them before they create costly business impacts. Joining IBM will help us scale our software and significantly accelerate our ability to meet the evolving needs of enterprise clients."

Headquartered in Tel Aviv, Israel, Databand.ai employees will join IBM Data and AI, further building on IBM's growing portfolio of Data and AI products, including its IBM Watson capabilities and IBM Cloud Pak for Data. Financial details of the deal were not disclosed. The acquisition closed on June 27, 2022.

To learn more about Databand.ai and how this acquisition enhances IBM's data fabric solution and builds on its full stack of observability software, you can read our blog about the news or visit here: https://www.ibm.com/analytics/data-fabric.

About Databand.ai

Databand.ai is a product-driven technology company that provides a proactive data observability platform, which empowers data engineering teams to deliver reliable and trustworthy data. Databand.ai removes bad data surprises such as data incompleteness, anomalies, and breaking data changes by detecting and resolving issues before they create costly business impacts. Databand.ai's proactive approach ties into all stages of your data pipelines, beginning with your source data, through ingestion, transformation, and data access. Databand.ai serves organizations throughout the globe, including some of the world's largest companies in entertainment, technology, and communications. Our focus is on enabling customers to extract the maximum value from their strategic data investments. Databand.ai is backed by leading VCs Accel, Blumberg Capital, Lerer Hippeau, Differential Ventures, Ubiquity Ventures, Bessemer Venture Partners, Hyperwise, and F2. To learn more, visit www.databand.ai.

About IBM

IBM is a leading global hybrid cloud and AI, and business services provider, helping clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. Nearly 3,800 government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM's hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently, and securely. IBM's breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and business services deliver open and flexible options to our clients. All of this is backed by IBM's legendary commitment to trust, transparency, responsibility, inclusivity, and service. For more information, visit www.ibm.com.

Media Contact:
Sarah Murphy
IBM Communications
Srmurphy@us.ibm.com

1 [1] Source: Smarter with Gartner, "How to Excellerate Your Data Quality," Manasi Sakpal, [July 14, 2021]

GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.

IBM Corporation logo. (PRNewsfoto/IBM)

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Wed, 06 Jul 2022 00:48:00 -0500 en-US text/html https://ktla.com/business/press-releases/cision/20220706NY08866/ibm-aims-to-capture-growing-market-opportunity-for-data-observability-with-databand-ai-acquisition/
Killexams : IBM earnings show solid growth but stock slides anyway

IBM Corp. beat second-quarter earnings estimates today, but shareholders were unimpressed, sending the computing giant’s shares down more than 4% in early after-hours trading.

Revenue rose 16%, to $15.54 billion in constant currency terms, and rose 9% from the $14.22 billion IBM reported in the same quarter a year ago after adjusting for the spinoff of managed infrastructure-service business Kyndryl Holdings Inc. Net income jumped 45% year-over-year, to $2.5 billion, and diluted earnings per share of $2.31 a share were up 43% from a year ago.

Analysts had expected adjusted earnings of $2.26 a share on revenue of $15.08 billion.

The strong numbers weren’t a surprise given that IBM had guided expectations toward high single-digit growth. The stock decline was attributed to a lower free cash flow forecast of $10 billion for 2022, which was below the $10 billion-to-$10.5 billion range it had initially forecast. However, free cash flow was up significantly for the first six months of the year.

It’s also possible that a report saying Apple was looking at slowing down hiring, which caused the overall market to fall slightly today, might have spilled over to other tech stocks such as IBM in the extended trading session.

Delivered on promises

On the whole, the company delivered what it said it would. Its hybrid platform and solutions category grew 9% on the back of 17% growth in its Red Hat Business. Hybrid cloud revenue rose 19%, to $21.7 billion. Transaction processing sales rose 19% and the software segment of hybrid cloud revenue grew 18%.

“This quarter says that [Chief Executive Arvind Krishna] and his team continue to get the big calls right both from a platform strategy and also from the investments and acquisitions IBM has made over the last 18 months,” said Bola Rotibi, research director for software development at CCS Insight Ltd. Despite broad fears of a downturn in the economy, “the company is bucking the expected trend and more than meeting expectations,” she said.

Software revenue grew 11.6% in constant currency terms, to $6.2 billion, helped by a 7% jump in sales to Kyndryl. Consulting revenue rose almost 18% in constant currency, to $4.8 billion, while infrastructure revenue grew more than 25%, to $4.2 billion, driven largely by the announcement of a new series of IBM z Systems mainframes, which delivered 69% revenue growth.

With investors on edge about the risk of recession and his potential impact on technology spending, Chief Executive Arvind Krishna (pictured) delivered an upbeat message. “There’s every reason to believe technology spending in the [business-to-business] market will continue to surpass GDP growth,” he said. “Demand for solutions remains strong. We continue to have double-digit growth in IBM consulting, broad growth in software and, with the z16 launch, strong growth in infrastructure.”

Healthy pipeline

Krishna called IBM’s current sales pipeline “pretty healthy. The second half at this point looks consistent with the first half by product line and geography,” he said. He suggested that technology spending is benefiting from its leverage in reducing costs, making the sector less vulnerable to recession. ”We see the technology as deflationary,” he said. “It acts as a counterbalance to all of the inflation and labor demographics people are facing all over the globe.”

While IBM has been criticized for spending $34 billion to buy Red Hat Inc. instead of investing in infrastructure, the deal appears to be paying off as expected, Rotibi said. Although second-quarter growth in the Red Hat business was lower than the 21% recorded in the first quarter, “all the indices show that they are getting very good value from the portfolio,” she said. Red Hat has boosted IBM’s consulting business but products like Red Hat Enterprise Linux and OpenShift have also benefited from the Big Blue sales force.

With IBM being the first major information technology provider to report results, Pund-IT Inc. Chief Analyst Charles King said the numbers bode well for reports soon to come from other firms. “The strength of IBM’s quarter could portend good news for other vendors focused on enterprises,” he said. “While those businesses aren’t immune to systemic problems, they have enough heft and buoyancy to ride out storms.”

One area that IBM has talked less and less about over the past few quarters is its public cloud business. The company no longer breaks out cloud revenues and prefers to talk instead about its hybrid business and partnerships with major public cloud providers.

Hybrid focus

“IBM’s primary focus has long been on developing and enabling hybrid cloud offerings and services; that’s what its enterprise customers want, and that’s what its solutions and consultants aim to deliver,” King said.

IBM’s recently expanded partnership with Amazon Web Services Inc. is an example of how the company has pivoted away from competing with the largest hyperscalers and now sees them as a sales channel, Rotibi said. “It is a pragmatic recognition of the footprint of the hyperscalers but also playing to IBM’s strength in the services it can build on top of the other cloud platforms, its consulting arm and infrastructure,” she said.

Krishna asserted that, now that the Kyndryl spinoff is complete, IBM is in a strong position to continue on its plan to deliver high-single-digit revenue growth percentages for the foreseeable future. Its consulting business is now focused principally on business transformation projects rather than technology implementation and the people-intensive business delivered a pretax profit margin of 9%, up 1% from last year. “Consulting is a critical part of our hybrid platform thesis,” said Chief Financial Officer James Kavanaugh.

Pund-IT’s King said IBM Consulting “is firing on all cylinders. That includes double-digit growth in its three main categories of business transformation, technology consulting and application operations as well as a notable 32% growth in hybrid cloud consulting.”

Dollar worries

With the U.S. dollar at a 20-year high against the euro and a 25-year high against the yen, analysts on the company’s earnings call directed several questions to the impact of currency fluctuations on IBM’s results.

Kavanaugh said these are unknown waters but the company is prepared. “The velocity of the [dollar’s] strengthening is the sharpest we’ve seen in over a decade; over half of currencies are down-double digits against the U.S. dollar,” he said. “This is unprecedented in rate, breadth and magnitude.”

Kavanaugh said IBM is more insulated against currency fluctuations than most companies because it has long hedged against volatility. “Hedging mitigates volatility in the near term,” he said. “It does not eliminate currency as a factor but it allows you time to address your business model for price, for source, for labor pools and for cost structures.”

The company’s people-intensive consulting business also has some built-in protections against a downturn, Kavanaugh said. “In a business where you hire tens of thousands of people, you also churn tens of thousands each year,” he said. “It gives you an automatic way to hit a pause in some of the profit controls because if you don’t see demand you can slow down your supply-side. You can get a 10% to 20% impact that you pretty quickly control.”

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Killexams : Global SaaS Enterprise Applications Market Is Set to Experience Revolutionary Growth by 2027

The MarketWatch News Department was not involved in the creation of this content.

Aug 01, 2022 (Heraldkeepers) -- Pune, India-The Global SaaS Enterprise Applications Market 2022 that centers around Global SaaS Enterprise Applications Market examines the significant components with a top to bottom methodology and empowers the client to survey the drawn-out based interest additionally predicts explicit executions. This report gives subjective investigation, clarifying item scope and expounding industry experiences and standpoint to 2027. The Global SaaS Enterprise Applications Market is a critical reference for essential and notable parts in the current market. The data separated in the report offers a thorough evaluation of the significant elements of Global SaaS Enterprise Applications Market like the chances, market patterns, cut-off points, and business methodologies. Likewise, the report additionally shows the current essential industry occasions along with their pertinent impact available. The market study report additionally includes the top vital participants in the Global SaaS Enterprise Applications Market.

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Key Players: Microsoft, Sage Software, Ramco Systems, Oracle, SAP, Epicor Software, Google, IBM, Acumatica, Plex Systems, Box, Infor, Salesforce

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This Market report is a wide audit that incorporates an itemized review of the Global SaaS Enterprise Applications Market business. The report clarifies kind of Global SaaS Enterprise Applications Market and application in various verticals of the market with respect to different nations and key areas. The examination has recorded and assessed all the central members in the worldwide Global SaaS Enterprise Applications Market and analyzed them based on various measurements, for example, yearly deals shipments volume, verifiable development rates, market income, and promoting techniques. Based on every one of these discoveries, the worldwide Global SaaS Enterprise Applications Market industry study report proposes key intends to Excellerate market positions for existing business sector members.

This Study Report Offers Following Objectives:

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There are 15 Key Chapters Covered in the Global SaaS Enterprise Applications Market:

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Chapter 2, Classification, Specifications and Definition of Global SaaS Enterprise Applications Market Segment by Regions;

Chapter 3, Industry Suppliers, Manufacturing Process and Cost Structure, Chain Structure, Raw Material;

Chapter 4, Research Findings/Conclusion, Global SaaS Enterprise Applications Market deals channel, traders, distributors, dealers analysis;

Chapter 5, Complete Market Research, Capacity, Sales and Sales Price Analysis with Company Segment;

Chapter 6, Analysis of Regional Market that contains the United States, Europe, India, China, Japan, Korea & Taiwan;

Chapter 7 & 8, Global SaaS Enterprise Applications Market Analysis by Major Manufacturers, The Global SaaS Enterprise Applications Market Segment Market Analysis (by Type) and (by Application);

Chapter 9, Regional Market Trend Analysis, Market Trend by Product Type and by Application:

Chapter 10 & 11, Supply Chain Analysis, Regional Marketing Type Analysis, Global Trade Type Analysis;

Chapter 12, The Global SaaS Enterprise Applications Market industry consumers Analysis;

Chapter 13, Appendix and data source of Global SaaS Enterprise Applications Market.

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Killexams : IBM Q2 Preview: Can Shares Uphold Their Strength? No result found, try new keyword!IBM provides advanced information technology solutions, computer systems, quantum and supercomputing solutions, enterprise software ... 500’s performance. Image Source: Zacks Investment Research ... Thu, 14 Jul 2022 10:41:00 -0500 text/html https://www.nasdaq.com/articles/ibm-q2-preview%3A-can-shares-uphold-their-strength Killexams : IBM Touts AI, Hybrid Cloud: ‘Demand For Our Solutions Remains Strong’

Cloud News

Joseph F. Kovar

‘Given its ability to boost innovation, productivity, resilience, and help organizations scale, IT has become a high priority in a company’s budget. As such, there is every reason to believe technology spending in the B2B space will continue to surpass GDP growth,’ says IBM CEO Arvind Krishna.

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A strengthening IT environment that is playing into IBM AI and hybrid cloud capabilities means a rosy future for IBM and its B2B business, CEO Arvind Krishna told investors Monday.

Krishna, in his prepared remarks for IBM’s second fiscal quarter 2022 financial analyst conference call, said that technology serves as a fundamental source of competitive advantage for businesses.

“It serves as both a deflationary force and a force multiplier, and is especially critical as clients face challenges on multiple fronts from supply chain bottlenecks to demographic shifts,” he said. “Given its ability to boost innovation, productivity, resilience, and help organizations scale, IT has become a high priority in a company’s budget. As such, there is every reason to believe technology spending in the B2B space will continue to surpass GDP growth.”

[Related: IBM STARTS ‘ORDERLY WIND-DOWN’ OF RUSSIA BUSINESS]

That plays well with IBM’s hybrid cloud and AI strategy where the company is investing in its offerings, technical talent, ecosystem, and go-to-market model, Krishna said.

“Demand for our solutions remains strong,” he said. “We continued to have double-digit performance in IBM Consulting, broad-based strength in software, and with the z16 [mainframe] platform launch, our infrastructure business had a good quarter. By integrating technology and expertise from IBM and our partners, our clients will continue to see our hybrid cloud and AI solutions as a crucial source of business opportunity and growth.”

Krishna said hybrid clouds are about offering clients a platform to straddle multiple public clouds, private clouds, on-premises infrastructures, and the edge, which is where Red Hat, which IBM acquired in 2019, comes into play, Krishna said.

“Our software has been optimized to run on that platform, and includes advanced data and AI, automation, and the security capabilities our clients need,” he said. “Our global team of consultants offers deep business expertise and co-creates with clients to accelerate their digital transformation journeys. Our infrastructure allows clients to take full advantage of an extended hybrid cloud environment.”

As a result, IBM now has over 4,000 hybrid cloud platform clients, with over 250 new clients added during the second fiscal quarter, Krishna said.

“Those who adopt our platform tend to consume more of our solutions across software, consulting, and infrastructure, [and] expanding our footprint within those clients,” he said.

IBM is also benefitting from the steady adoption by businesses of artificial intelligence technologies as those businesses try to process the enormous amount of data generated from hybrid cloud environments all the way to the edge, Krishna said. An IBM study released during the second fiscal quarter found that 35 percent of companies are now using some form of AI with automation in their business to address demographic shifts and move their employees to higher value work, he said.

“This is one of the many reasons we are investing heavily in both AI and automation,” he said. “These investments are paying off.”

IBM is also moving to develop leadership in quantum computing, Krishna said. The company currently has a 127-qubit quantum computer it its cloud, and is committed to demonstrate the first 400-plus-qubit system before year-end as part of its path to deliver a 1,000-plus-qubit system next year and a 4,000-plus-qubit system in 2025, he said.

“One of the implications of quantum computing will be the need to change how information is encrypted,” he said. “We are proud that technology developed by IBM and our collaborators has been selected by NIST (National Institute of Standards and Technology) as the basis of the next generation of quantum-safe encryption protocols.”

IBM during the quarter also move forward in its mainframe technology with the release of its new z16 mainframe, Krishna said.

“The z16 is designed for cloud-native development, cybersecurity resilience, [and] quantum-safe encryption, and includes an on-chip AI accelerator, which allows clients to reduce fraud within real-time transactions,” he said.

IBM also made two acquisitions during the quarter related to cybersecurity, Krishna said. The first was Randori, an attack surface management and offensive cybersecurity provider. That acquisition built on IBM’s November acquisition of ReaQta, an endpoint security firm, he said.

While analysts during the question and answer part of Monday’s financial analyst conference call did not ask about the news that IBM has brought in Matt Hicks as the new CEO of Red Hat, they did seem concerned about how the 17-percent growth in Red Had revenue over last year missed expectations.

When asked about Red Hat revenue, Krishna said IBM feels very good about the Red Hat business and expect continued strong demand.

“That said, we had said late last year that we expect growth in Red Hat to be in the upper teens,” he said. “That expectation is what we are going to continue with. … Deferred revenue accounts for the bulk of what has been the difference in the growth rates coming down from last year to this year.”

IBM CFO James Kavanaugh followed by saying that while IBM saw 17 percent growth overall for Red Hat, the company took market share with its core REL (Red Hat Enterprise Linux) and in its Red Hat OpenShift hybrid cloud platform foundation. Red Hat OpenShift revenue is now four-and-a-half times the revenue before IBM acquired Red Hat, and Red Hat OpenShift bookings were up over 50 percent, Kavanaugh said.

“So we feel pretty good about our Red Hat portfolio overall. … Remember, we‘re three years into this acquisition right now,” he said. “And we couldn’t be more pleased as we move forward.”

When asked about the potential impact from an economic downturn, Krishna said IBM’s pipelines remain healthy and consistent with what the company saw in the first half of fiscal 2022, making him more optimistic than many of his peers.

“In an inflationary environment, when clients take our technology, deploy it, leverage our consulting, it acts as a counterbalance to all of the inflation and all of the labor demographics that people are facing all over the globe,” he said.

Krishna also said IBM’s consulting business is less likely than most vendors’ business to be impacted by the economic cycle as it involves a lot of work around deploying the kinds of applications critical to clients’ need to optimize their costs. Furthermore, he said. Because consulting is very labor-intensive, it is easy to hire or let go tens of thousands of employees as needed, he said.

The Numbers

For its second fiscal quarter 2022, which ended June 30, IBM reported total revenue of $15.5 billion, up about 9 percent from the $14.2 billion the company reported for its second fiscal quarter 2021.

This includes software revenue of $6.2 billion, up from $5.9 billion; consulting revenue of $4.8 billion, up from $4.4 billion; infrastructure revenue of $4.2 billion, up from $3.6 billion; financing revenue of $146 million, down from $209 million; and other revenue of $180 million, down from $277 million.

On the software side, IBM reported annual recurring revenue of $12.9 billion, which was up 8 percent over last year. Software revenue from its Red Hat business was up 17 percent over last year, while automation software was up 8 percent, data and AI software up 4 percent, and security software up 5 percent.

On the consulting side, technology consulting revenue was up 23 percent over last year, applications operations up 17 percent, and business transformation up 16 percent.

Infrastructure revenue growth was driven by hybrid infrastructure sales, which rose 7 percent over last year, and infrastructure support, which grew 5 percent. Hybrid infrastructure revenue saw a significant boost from zSystems mainframe sales, which rose 77 percent over last year.

IBM also reported revenue of $8.1 billion from sales to the Americas, up 15 percent over last year; sales to Europe, Middle East, and Africa of $4.5 billion, up 17 percent; and $2.9 billion to the Asia Pacific area, up 16 percent.

Sales to Kyndryl, which late last year was spun out of IBM, accounted for about 5 percent of revenue, including 3 percent of IBM’s Americas revenue.

IBM also reported net income for the quarter on a GAAP basis of $1.39 billion, or $1.53 per share, up from last year’s $1.33 billion, or $1.47 per share.

Joseph F. Kovar

Joseph F. Kovar is a senior editor and reporter for the storage and the non-tech-focused channel beats for CRN. He keeps readers abreast of the latest issues related to such areas as data life-cycle, business continuity and disaster recovery, and data centers, along with related services and software, while highlighting some of the key trends that impact the IT channel overall. He can be reached at jkovar@thechannelcompany.com.

Tue, 19 Jul 2022 13:17:00 -0500 en text/html https://www.crn.com/news/cloud/ibm-touts-ai-hybrid-cloud-demand-for-our-solutions-remains-strong-
Killexams : AI Enterprise Search Market Emerging Trends Focusing on Top Key Players like Microsoft, Google, IBM Corp

This report studies the AI Enterprise Search Market with many aspects of the industry like the market size, market status, market trends and forecast, the report also provides brief information of the competitors and the specific growth opportunities with key market drivers. Find the complete AI Enterprise Search Market analysis segmented by companies, region, type and applications in the report.

The report offers valuable insight into the AI Enterprise Search market progress and approaches related to the AI Enterprise Search market with an analysis of each region. The report goes on to talk about the dominant aspects of the market and examine each segment.

Top Key Players: Microsoft, Google, IBM Corp, SAP AG, Dassault Systemes, Oracle, Coveo Corp, Marklogic Inc, Concept Searching Limited, Lucid Work, Hyland, X1 Technologies, Micro Focus, Attivio Inc, Expert System Inc, and Accenture.

Request for sample with Complete TOC and Figures & Graphs: https://www.reportsandmarkets.com/sample-request/global-ai-enterprise-search-market-4458592?utm_source=dj&utm_medium=14

Segment by Type, the AI Enterprise Search market is segmented into: On-prem, Hybrid, Cloud.

Segment by Application, the AI Enterprise Search market is segmented into: Government & Commercial offices, Banking & Finance, Healthcare, Retail, Education Industry, and Other.

The global AI Enterprise Search market segmented by company, region (country), by Type, and by Application. Players, stakeholders, and other participants in the global AI Enterprise Search market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by region (country), by Type, and by Application for the period 2022-2028.

Market Segment by Regions, regional analysis covers

  • North America (United States, Canada and Mexico)
  • Europe (Germany, France, UK, Russia and Italy)
  • Asia-Pacific (China, Japan, Korea, India and Southeast Asia)
  • South America (Brazil, Argentina, Colombia etc.)
  • Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)

Research objectives:

  • To study and analyze the global AI Enterprise Search market size by key regions/countries, product type and application, history data from 2013 to 2017, and forecast to 2026.
  • To understand the structure of AI Enterprise Search market by identifying its various sub segments.
  • Focuses on the key global AI Enterprise Search players, to define, describe and analyze the value, market share, market competition landscape, SWOT analysis and development plans in next few years.
  • To analyze the AI Enterprise Search with respect to individual growth trends, future prospects, and their contribution to the total market.
  • To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks).
  • To project the size of AI Enterprise Search submarkets, with respect to key regions (along with their respective key countries).
  • To analyze competitive developments such as expansions, agreements, new product launches and acquisitions in the market.
  • To strategically profile the key players and comprehensively analyze their growth strategies.
  • To strategically profile the key players and comprehensively analyze their growth strategies.

The report lists the major players in the regions and their respective market share on the basis of global revenue. It also explains their strategic moves in the past few years, investments in product innovation, and changes in leadership to stay ahead in the competition. This will supply the reader an edge over others as a well-informed decision can be made looking at the holistic picture of the market.

Key questions answered in this report

  • What will the market size be in 2028 and what will the growth rate be?
  • What are the key market trends?
  • What is driving this market?
  • What are the challenges to market growth?
  • Who are the key vendors in this market space?
  • What are the market opportunities and threats faced by the key vendors?
  • What are the strengths and weaknesses of the key vendors?

Table of Contents: AI Enterprise Search Market

  • Part 1: Overview of AI Enterprise Search Market
  • Part 2: AI Enterprise Search Carts: Global Market Status and Forecast by Regions
  • Part 3: Global Market Status and Forecast by Types
  • Part 4: Global Market Status and Forecast by Downstream Industry
  • Part 5: Market Driving Factor Analysis
  • Part 6: Market Competition Status by Major Manufacturers
  • Part 7: Major Manufacturers Introduction and Market Data
  • Part 8: Upstream and Downstream Market Analysis
  • Part 9: Cost and Gross Margin Analysis
  • Part 10: Marketing Status Analysis
  • Part 11: Market Report Conclusion
  • Part 12: AI Enterprise Search: Research Methodology and Reference

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