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Killexams : IBM Implementation Free PDF - BingNews https://killexams.com/pass4sure/exam-detail/C9560-517 Search results Killexams : IBM Implementation Free PDF - BingNews https://killexams.com/pass4sure/exam-detail/C9560-517 https://killexams.com/exam_list/IBM Killexams : IBM and AWS Create a Path to Modernization Via Industry-Specific Solutions No result found, try new keyword!modernization offering leader and strategist for IBM’s Hybrid Cloud Migration Group. With the right industry solution and implementation partner in place, organizations can steer towards ... Wed, 12 Oct 2022 14:17:00 -0500 en-US text/html https://www.cio.com/article/409679/ibm-and-aws-create-a-path-to-modernization-via-industry-specific-solutions.html Killexams : IBM’s former CEO downplays the importance of a college degree for six-figure earning ‘new collar’ jobs that now make up half of its workers

A four-year bachelor’s degree has long been the first rung to climbing America’s corporate ladder.

But the move to prioritize skills over a college education is sweeping through some of America’s largest companies, including Google, EY, Microsoft, and Apple. Strong proponents say the shift helps circumvent a needless barrier to workplace diversity.

“I really do believe an inclusive diverse workforce is better for your company, it’s good for the business,” Ginni Rometty, former IBM CEO, told Fortune Media CEO Alan Murray during a panel last month for Connect, Fortune’s executive education community. “That’s not just altruistic.”

Under Rometty’s leadership in 2016, tech giant IBM coined the term “new collar jobs” in reference to roles that require a specific set of skills rather than a four-year degree. It’s a personal commitment for Rometty, one that hits close to home for the 40-year IBM veteran.

When Rometty was 16, her father left the family, leaving her mother, who’d never worked outside the home, suddenly in the position to provide.

“She had four children and nothing past high school, and she had to get a job to…get us out of this downward spiral,” Rometty recalled to Murray. “What I saw in that was that my mother had aptitude; she wasn’t dumb, she just didn’t have access, and that forever stayed in my mind.”

When Rometty became CEO in 2012 following the Great Recession, the U.S. unemployment rate hovered around 8%. Despite the influx of applicants, she struggled to find employees who were trained in the particular cybersecurity area she was looking for.

“I realized I couldn’t hire them, so I had to start building them,” she said.

In 2011, IBM launched a corporate social responsibility effort called the Pathways in Technology Early College High School (P-TECH) in Brooklyn. It’s since expanded to 11 states in the U.S. and 28 countries.

Through P-TECH, Rometty visited “a very poor high school in a bad neighborhood” that received the company’s support, as well as a community college where IBM was offering help with a technology-based curriculum and internships.

“Voilà! These kids could do the work. I didn’t have [applicants with] college degrees, so I learned that propensity to learn is way more important than just having a degree,” Rometty said.

Realizing the students were fully capable of the tasks that IBM needed moved Rometty to return to the drawing board when it came to IBM’s own application process and whom it was reaching. She said that at the time, 95% of job openings at IBM required a four-year degree. As of January 2021, less than half do, and the company is continuously reevaluating its roles.

For the jobs that now no longer require degrees and instead rely on skills and willingness to learn, IBM had always hired Ph.D. holders from the very best Ivy League schools, Rometty told Murray. But data shows that the degree-less hires for the same jobs performed just as well. “They were more loyal, higher retention, and many went on to get college degrees,” she said.

Rometty has since become cochair of OneTen, a civic organization committed to hiring, promoting, and advancing 1 million Black individuals without four-year degrees within the next 10 years.

If college degrees no longer become compulsory for white-collar jobs, many other qualifications—skills that couldn’t be easily taught in a boot camp, apprenticeship program, or in the first month on the job—could die off, too, University of Virginia Darden School of Business professor Sean Martin told Fortune last year.

“The companies themselves miss out on people that research suggests…might be less entitled, more culturally savvy, more desirous of being there,” Martin said. Rather than pedigree, he added, hiring managers should look for motivation.

That’s certainly the case at IBM. Once the company widened its scope, Rometty said, the propensity to learn quickly became more of an important hiring factor than just a degree.

This story was originally featured on Fortune.com

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Sun, 16 Oct 2022 06:27:00 -0500 en-US text/html https://finance.yahoo.com/news/ibm-former-ceo-downplays-importance-165139880.html
Killexams : IBM Acquires Dialexa

IBM (NYSE:IBM) acquired Dialexa, a Dallas TX and Chicago, IL-based digital product engineering services firm.

The amount of the deal was not disclosed. The transaction is expected to close in the fourth quarter of this year and is subject to customary closing conditions and regulatory clearances.

The acquisition is expected to enhance IBM’s product engineering expertise and provide end-to-end digital transformation services for clients. Upon close, Dialexa will join IBM Consulting, strengthening IBM’s digital product engineering services presence in the Americas.

Founded in 2010 and led by CEO Scott Harper, Dialexa delivers a suite of digital product engineering services, enabling organizations to create new products to drive business outcomes. The company has deep experience delivering end-to-end digital product engineering services consisting of strategy, design, build, launch, and optimization services across cloud platforms including AWS and Microsoft Azure. Its team of 300 product managers, designers, full-stack engineers and data scientists, based in Dallas and Chicago, advise and create custom, commercial-grade digital products for clients such as Deere & Company, Pizza Hut US, and Toyota Motor North America.

FinSMEs

26/09/2022

Mon, 26 Sep 2022 15:12:00 -0500 FinSMEs en-US text/html https://www.finsmes.com/2022/09/ibm-acquires-dialexa.html
Killexams : IBM Research Secures Future Safe From Quantum Attacks

Quantum computing will bring unimagined innovations to the world when it finally arrives in full glory. Still, quantum remains in the research labs at companies like IBM, Google, and Microsoft. While companies and research institutions are investing billions of dollars to increase the capacity of quantum systems, a time will come in the following years, or decades, when researchers will reach "quantum supremacy." But these large quantum marvels could also jeopardize the security of critical information systems. Researchers, including IBM are working to develop new security algorithms that will be resilient to these attacks.

The Quantum Threat to Security

While quantum can solve computing challenges far beyond what is possible today, its ability to find the factors of large prime numbers makes it the ideal cybersecurity safe cracker once quantum computing systems mature in their scale, quality, and speed. Every computer system and every bit of "secure" data could become vulnerable to attack from quantum-equipped nefarious actors. The World Economic Forum "estimate(s) that over 20 billion digital devices will need to be either upgraded or replaced in the next 10-20 years to use the new forms of quantum-resistant encrypted communication. We recommend that organizations start planning for this now.

What constitutes "adequate size" might supply us some false comfort: a 2019 study suggested that a computer with 20 million qubits would take eight hours to break modern encryption. Today's quantum computers are on the order of only 100 qubits. But while that implies that the threat is in the distant future, one must consider that a bad actor doesn't need to wait for the massive quantum system to materialize. The "Steal now, crack later" approach leads to a latent future security threat. Consequently, organizations should deploy quantum-safe security as soon as possible to minimize future risk.

Stopping Quantum Attacks Before They Begin

Consequently, the National Institute of Standards and Technology (NIST), a bureau of the U.S. Department of Commerce, has been conducting an ongoing search for quantum-safe security algorithms that are both secure and efficient. After all, we need our laptops, cars, and mobile phones to also be able to resist attacks from quantum-equipped bad actors. After four rounds of submissions, NIST selected four algorithms from a slate of 82 candidates. IBM Research had submitted 3 of the four chosen algorithms. All submissions have been subjected to research by industry scrutiny by government agencies, academic scientists, and mathematicians. This process is now reaching its conclusion; the NIST is expected to publish standards based on these 4 algorithms sometime in 2024.

The NIST contest covers the two aspects of security that could be vulnerable to quantum computing: public key encapsulation (used for public-key encryption and key establishment) and digital signatures (used for identity authentication and non-repudiation). For the former, NIST selected the CRYSTALS-Kyber algorithm. NIST selected three algorithms for signatures: CRYSTALS-Dilithium, FALCON, and SPHINCS+, with CRYSTALS-Dilithium as the primary algorithm in the signature category.

The Telco Industry Steps Up to Address Quantum Safe

On September 29, GSMA announced the formation of the GSMA Post-Quantum Telco Network Taskforce, of which IBM and Vodafone are initial members, to help define policy, regulation and operator business processes to enhance protections of telecommunications in a future of advanced quantum computing. Since virtually all organizations and sectors conduct commerce on the internet, and the 800 providers whose pipes that carry all the internet traffic, the Telco industry is a good place to start. We expect other sectors to follow suit, perhaps starting with banking, government, and health care.

IBM Adds Quantum-Safe Security to the IBM z16

Given the magnitude of the potential risks, and the predominance of IBM Z systems in security-critical applications, IBM has included future-proof digital signature support in its latest z16 mainframe using CRYSTALS-Kyber and CRYSTALS -Dilithium algorithms selected by NIST. z16 implements this algorithm across multiple layers of firmware to help protect business-critical infrastructure and data from future quantum attacks. IBM has said it is also working to bring these new methods to the broader market.

In addition, IBM has developed a multi-step process to assist clients toward rapidly making institutions quantum safe. The company works with clients to identify where they are vulnerable to quantum-based cryptography attacks, assess cryptographic maturity and dependencies, and identify near-term achievable cryptographic goals and projects. The risks clients may face vary substantially based on the type of applications and data an organization handles and the state of its current cryptography.

Conclusions

Quantum computing's potential threat to global information security may seem to be a distant and abstract risk. However, the inevitable advances of quantum technology and the "Steal now, crack later" approach bad actors are undertaking to make quantum-safe a genuine and pressing matter for vendors and IT organizations. IBM wasted no time bringing that technology to market in the IBM z16. IBM Research has contributed three of the four algorithms the NIST quantum-safe contest has selected to be the most viable, secure, and efficient of the 70 techniques evaluated.

Beyond the NIST-approved algorithms, IBM Is working to provide “crypto agility”, helping organizations not only replace the soon-to-fail existing algorithms but also transform their security practices to remain resilient as new threats emerge in the post-quantum world. Creating crypto observability, enabling ongoing monitoring and actions on crypto-related security items, will help keep the world safer from bad actors with virtually unlimited computing capacity at their disposal.

More information can be found at here.

Disclosures: This article expresses the opinions of the authors, and is not to be taken as advice to purchase from nor invest in the companies mentioned. Cambrian AI Research is fortunate to have many, if not most, semiconductor firms as our clients, including Blaize, Cerebras, D-Matrix, Esperanto, FuriosaAI, Graphcore, GML, IBM, Intel, Mythic, NVIDIA, Qualcomm Technologies, Si-Five, SiMa.ai, Synopsys, and Tenstorrent. We have no investment positions in any of the companies mentioned in this article and do not plan to initiate any in the near future. For more information, please visit our website at https://cambrian-AI.com.

Wed, 28 Sep 2022 12:00:00 -0500 Karl Freund en text/html https://www.forbes.com/sites/karlfreund/2022/09/29/ibm-research-prepares-for-a-world-safe-from-quantum-attacks/ Killexams : IBM’s Cloud Acquisition Charge Continues With Dialexa

Cloud News

Mark Haranas

IBM continues to spend millions to buy hybrid cloud companies, as the company makes its sixth acquisition in 2022 with Dialexa.

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IBM continues to spend millions on buying hybrid cloud companies with the unveiling of its acquisition of engineering consulting specialist Dialexa to boost its cloud charge.

Since IBM CEO Arvind Krishna took the reins in April 2020, IBM has acquired more than 25 companies, including many hybrid cloud businesses.

In February alone, IBM acquired cloud consultant services standout Sentaca, as well as Microsoft Azure consultancy all-star Neudesic—with the two purchases squarely aimed at boosting IBM’s hybrid and multi-cloud services capabilities.

[Related: UK To Probe Amazon, Google, Microsoft’s Cloud Dominance]

Looking at the Armonk, N.Y.-based company’s purchase of Dialexa, IBM will gain 300 skilled product managers, designers, full-stack engineers and data scientists. Dialexa will become part of IBM’s Consulting business unit, which spearheads the company’s digital product engineering services in the Americas.

“Dialexa’s product engineering expertise, combined with IBM’s hybrid cloud and business transformation offerings, will help our clients turn concepts into differentiated product portfolios that accelerate growth,” said John Granger, senior vice president of IBM Consulting, in a statement.

Krishna: Hybrid Cloud A ‘Competitive Advantage’

Dialexa marks IBM’s sixth purchase in 2022 with the goal of boosting its hybrid cloud and artificial intelligence abilities.

Along with buying Dialexa, Sentaca and Neudesic, IBM has also acquired Randori, an attack surface management cybersecurity specialist that helps protect hybrid cloud environments.

Earlier this year, IBM’s CEO said hybrid cloud and artificial intelligence are top of mind for his company in terms of investment and the future.

“We are integrating technology and expertise—from IBM, our partners and even our competitors—to meet the urgent needs of our clients, who see hybrid cloud and AI as crucial sources of competitive advantage,” Krishna said in March. “And we are ready to be the catalyst of progress for our clients as they pursue the digital transformation of the world’s mission-critical businesses.”

In 2021, IBM’s hybrid cloud revenue jumped 19 percent compared with 2020, comprising 35 percent of its total revenue.

IBM’s Acquisition Of Dialexa

Based in Dallas and Chicago, Dialexa delivers a suite of digital product engineering services to help customers create transformative products to drive business outcomes.

Dialexa’s 300-strong engineers and skilled IT experts advise and create custom digital products for customers, which include Deere & Company, Pizza Hut U.S. and Toyota Motor North America. Financial terms of the Dialexa deal were not disclosed.

IBM said Dialexa provides deep experience delivering end-to-end digital product engineering services consisting of strategy, design, build, launch and optimization services across cloud platforms including Amazon Web Services and Microsoft Azure.

“Digital product engineering represents the tip of the spear for competitive advantage,” said Dialexa CEO Scott Harper in a statement. “IBM and Dialexa’s shared vision for delivering industry-defining digital products could be a game-changer.”

Mark Haranas

Mark Haranas is an assistant news editor and longtime journalist now covering cloud, multicloud, software, SaaS and channel partners at CRN. He speaks with world-renown CEOs and IT experts as well as covering breaking news and live events while also managing several CRN reporters. He can be reached at mharanas@thechannelcompany.com.

Fri, 23 Sep 2022 09:04:00 -0500 en text/html https://www.crn.com/news/cloud/ibm-s-cloud-acquisition-charge-continues-with-dialexa
Killexams : Better Buy: IBM Stock vs. 2-Year Treasury Notes

Investors this year increasingly turned away from dividend stocks in favor of the rising yields being offered on bonds. Given that investors can now earn a 4.3% return on a 2-year Treasury note, many prefer that guaranteed return to the risks of putting money into the stock market.

International Business Machines (IBM 1.80%) offers a dividend yield that exceeds that bond return. But with a bear market in progress, are investors better served to take a chance on the cloud stock or to take the 4.3% return at virtually zero risk?

IBM and its dividend

IBM didn't participate in the bull market of the 2010s. The stock dropped as its tech businesses suffered a considerable growth slowdown. In an effort to change that, IBM pivoted into the cloud computing sector aggressively, in part via its $34 billion purchase of Red Hat in 2019. Grand View Research forecasts a compound annual growth rate of 16% through 2030 for the cloud industry. Growth like that could certainly help both IBM and its stock.

Also, IBM spun off its managed infrastructure business into a new public company, Kyndryl. This business was less of a fit with the parent company amid its pivot to the cloud. Separating it off should make it easier for IBM to grow its revenue.

Time will tell if these moves can help the stock price recover. Nonetheless, IBM currently pays its shareholders $1.65 per share every quarter, or $6.60 per share annually. At the current stock price, that adds up to a yield of 5.6% per year. Moreover, depending on your financial situation, the IRS may tax your dividends at a lower capital gains rate, which can offer an added advantage.

Additionally, IBM hiked its payout annually for 27 consecutive years, making it a Dividend Aristocrat. That status carries some importance as many income investors will be more inclined to buy and hold IBM stock because of this status. Also, since abandoning Dividend Aristocrat status tends to hurt a stock, management will probably prioritize maintaining it by continuing to raise those payouts.

Investors also can also reinvest their dividend payments into more IBM stock. However, such newly purchased shares will pay you the dividend yield at that time. The return will rise if the stock falls since investors can buy the exact cash return at a lower price. Conversely, cash yields will drop if the stock rises, but those investors still benefit since the stock has increased in value.

What to know about 2-year Treasury notes

U.S. Treasury notes offer more stability than stocks such as IBM. Investors who purchase the 2-year Treasury note receive semiannual interest payments. At the current interest rate of 4.3%, investors will receive a 2.15% cash return on their invested amount in each of the subsequent three six-month periods. In the fourth period, when the note matures, investors receive the final 2.15% payment along with the return of their principal.

Investors should also be aware that bond values can fluctuate. If interest rates drop, the value of the bond will fall; the opposite will happen if rates rise. This affects investors if they decide to sell the bond early. Upon maturity, the note will return to its par (or nominal) value.

Additionally, bond interest payments are subject to federal income tax but exempt from state and local taxes. In some cases, this is higher than taxes on dividends. Still, bond issuers are obligated to make such payments. In contrast, IBM faces no legal obligation to continue its dividend.

Also, like with a stock, investors can reinvest their interest payments into more notes or other forms of Treasury bonds. However, those purchases will be subject to the prevailing interest rates at that time.

IBM or the 2-year Treasury note?

Investors who lack much risk tolerance should choose the Treasury note. Given its guaranteed return, they will not have to worry about volatility.

Nonetheless, for investors comfortable with buying stocks, IBM is a surprisingly strong buy. The cloud industry is in growth mode, which should propel IBM stock to a long-awaited turnaround. Moreover, IBM has repeatedly shown it wants to hold on to its Dividend Aristocrat status. This should supply its income investors returns that are not only larger than the bonds offer, but also likely to increase in size.

Will Healy has no position in any of the stocks mentioned. The Motley Fool has no position in any of the stocks mentioned. The Motley Fool has a disclosure policy.

Fri, 14 Oct 2022 00:20:00 -0500 Will Healy en text/html https://www.fool.com/investing/2022/10/14/better-buy-ibm-stock-vs-2-year-treasury-note/
Killexams : IBM set to buy Dialexa, adding to list of more than 25 acquisitions since April 2020

RESEARCH TRIANGLE PARK – In a move to enhance its hybrid cloud and AI capabilities, IBM will buy the digital product engineering consulting services firm Dialexa in a deal that will close later this year.

IBM announced the deal in a statement, which also notes that the purchase of the firm will “deepen IBM’s product engineering expertise and provide end-to-end digital transformation services for clients.”

When the deal closes, Dialexa will become the sixth company bought by IBM in 2022.

But Big Blue has been on a buying frenzy since April 2020, when Arvind Krishna became the company’s CEO.  According to the company, IBM has acquired more than 25 other firms, with 13 to bolster IBM Consulting.

The latest acquisition of Dialexa points toward how IBM may grow its consulting services presence.

“In this digital era, clients are looking for the right mix of high-quality products to build new revenue streams and Boost topline growth,” said John Granger, senior vice president, IBM Consulting, in a statement. “Dialexa’s product engineering expertise, combined with IBM’s hybrid cloud and business transformation offerings, will help our clients turn concepts into differentiated product portfolios that accelerate growth.”

The company’s 300 employees are based in Dallas and in Chicago, and will join IBM Consulting, according to the statement.  Among the firm’s clients is Toyota Motor North America, which will invest $2.5 billion in North Carolina to build the company’s first U.S. electric battery manufacturing plant in Randolph County.

Thu, 22 Sep 2022 12:00:00 -0500 en-US text/html https://wraltechwire.com/2022/09/23/ibm-set-to-buy-dialexa-adding-to-list-of-more-than-25-acquisitions-since-april-2020/
Killexams : IBM Assimilates Red Hat Storage Technology Into Own Storage Business

Storage News

Joseph F. Kovar

IBM, which three years ago acquired Red Hat, is now moving Red Hat OpenShift Data Foundation and Red Hat Ceph, along with their development teams, into IBM Storage as part of a move to make a bigger play in the software-defined and open-source storage worlds.

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IBM Tuesday said it has absorbed storage technology and teams from its Red Hat business to combine them with IBM’s own storage business unit as a way to help clients take advantage of the two without requiring extra integration or having to deal with multiple sales teams.

IBM is integrating Red Hat OpenShift Data Foundation with its IBM Spectrum Fusion and will offer Red Hat Ceph-based storage technologies to its clients in a move to continue Big Blue’s software-defined storage leadership, said Brent Compton, senior director of Data Foundation for Red Hat’s hybrid cloud business.

For IBM, which in mid-2019 acquired Red Hat in a $34-billion deal, the move ensures maximum support for Red Hat OpenShift Data Foundation and Ceph, Compton told CRN.

[Related: 2022 Storage 100: Who’s Got Your Backup?]

“OpenShift Data Foundation and Ceph will become a big part of IBM Storage,” he said. “IBM has been looking for a way to take advantage of Ceph and ODF, and now it can.”

Ceph is an open-source software-defined object storage technology with interfaces for object, block and file storage. Red Hat OpenShift Data Foundation is a software-defined container-native storage that provides cluster data management capabilities as part of the OpenShift container platform.

Scott Baker, chief marketing officer and vice president of IBM hybrid cloud portfolio and product marketing, told CRN the move to combine Red Hat and IBM storage technologies sets the stage for growth in the combined software-defined storage portfolio.

“Customers not only get a choice of where storage runs—at the edge, in the cloud, or on-prem—but will find storage software releases will no longer be tied to the timing of storage hardware releases,” Baker said. “For instance, IBM normally enhances its Spectrum Virtualize or Spectrum Scale with new versions of the IBM FlashSystem. But with software-defined storage, we can drive changes quicker if they’re not tied to hardware releases.”

By bringing Red Hat OpenShift Data Foundation and Ceph into IBM, customers get the opportunity to access unified block, file, and object storage without regard to the actual underlying hardware, Baker said.

“They can use Ceph to add the right type of storage depending on the protocol they need,” he said. “Ceph and ODF also simplifies how IBM provides data storage and protection. To do all that with IBM’s storage portfolio takes time. With CEF and ODF as part of IBM Storage, this can get done immediately.”

It really is the best of both worlds, as Red Hat customers will also see strong benefits from IBM Storage, Compton said.

“It’s important to note that IBM will continue to offer OpenShift Data Foundation inside the Red Hat OpenShift Platform Plus hybrid cloud platform,” he said. “So if a customer gets pre-integrated OpenShift Data Foundation inside Red Hat OpenShift Platform Plus, it accelerates their time to market. There’s no need to integrate the storage. This will not change.”

Also, Red Hat OpenShift customers have used Ceph to accelerate their time to scale for years, and Red Hat will continue to sell Ceph, Compton said.

“But by moving Ceph to IBM Storage, IBM will accelerate development of the storage-specific features,” he said. “Red Hat is not a storage company. So this will accelerate development of unified capabilities.”

IBM’s storage move makes good on the potential many saw with the company’s acquisition of Red Hat, said John Teltsch, chief revenue officer at Converge Technology Solutions, a Gatineau, Quebec-based solution provider and channel partner to both IBM and Red Hat that ranked No. 36 on CRN’s 2022 Solution Provider 500.

“This is something the channel has been waiting for ever since IBM acquired Red Hat,” Teltsch told CRN. “IBM has been doing a lot around software-defined storage. And when you add in Red Hat, it gives us an integrated solutions play. It lets us build an integrated sales team. We don’t have to first talk about IBM storage capabilities, and then bring in our Red Hat team to talk about Red Hat.”

Converge Technology Partners’ IBM and Red Hat sales teams are currently two separate teams, said Teltsch, who joined the company in March from IBM, where he held numerous sales leadership roles, including two years as Big Blue’s channel chief.

“Once IBM and Red Hat storage are together, it gets more simple to sell,” he said. “And it simplifies our training while IBM will have one integrated set of offerings for its clients. This lets us bring the best of Red Hat open-source capabilities with IBM storage. We’re living in a data-driven world. This move simplifies our go-to-market, as well as simplifies the client experience, client engagement, and client adoption.”

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, 04 Oct 2022 19:00:00 -0500 en text/html https://www.crn.com/news/storage/ibm-assimilates-red-hat-storage-technology-into-own-storage-business
Killexams : AI in Manufacturing Market Size to Reach $17,925.50 Mn at a CAGR of 51.5% | Vantage Market Research

Vantage Market Research, The North Star for the Working World

WASHINGTON, Oct. 10, 2022 (GLOBE NEWSWIRE) -- Global Artificial Intelligence (AI) in Manufacturing Market was valued at USD 1,482.50 Million in 2021 and is projected to surpass the valuation of USD 17,925.50 Million by 2028 at a CAGR of 51.5% during the forecast period 2022–2028. The research on AI in the manufacturing market includes a comprehensive analysis of the global market scope, as well as regional and country-level market size, market segmentation, growth, share, competition Landscape, sales analysis, the effect of domestic and global market players, value chain optimization, trade regulations, current developments, opportunities analysis, strategic market growth analysis, product launches, and technical advancements.

The material that is shot, scattered, dropped, or detonated from any weapon, such as bombs or rockets, and more specifically, the shot, shrapnel, bullets, or shells that are fired by firearms is referred to as AI in Manufacturing. AI in Manufacturing can be thought of as both a throwaway weapon and the components of other weapons responsible for producing the effect on a target. AI in manufacturing can take on a wide variety of shapes and sizes, and it is frequently developed with the sole purpose of functioning within particular sorts of weaponry.

Get Free demo PDF Brochure@ https://www.vantagemarketresearch.com/ai-in-manufacturing-market-1404/request-sample

(Try out our in-depth reports or studies with demo reports before you buy them.)

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  • Free demo includes Industry Operating Conditions, Industry Market Size, Profitability Analysis, SWOT Analysis, Industry Major Players, Historical and Forecast, Growth Porter's 5 Forces Analysis, Revenue Forecasts, Industry Trends, and Industry Financial Ratios.

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Synopsis:

Artificial Intelligence is the branch of computer science that deals with making smart machines that requires human intelligence. Artificial Intelligence is believe to be the gamechanger in the industry of manufacturing. The rising adoption of Industrial 4.0 is likely to drive the growth of the market in the upcoming years. In manufacturing plants, the information obtained from various sensors, software’s, IOT driven system may become complex for human to analyse, in such situation use of Artificial Intelligence is the most efficient solution. In addition to Artificial Intelligence, with the help of Machine learning and pattern recognition, the manufacturing sector can transform completely. The use of AI in Manufacturing Market plant allows the user to analyse and predict consumer behaviour, predict preventive maintenance to prevent unwanted shutdown, detect abnormalities in production process and much more. AI also facilitates the use of real time information which could improves the decision-making time boosting the growth of organization. Moreover, increasing volume of data gathered through various devices, coupled with the widespread availability of high-speed broadband networks and the upcoming implementation of 5G technologies will further contribute to the global AI in Manufacturing Market in the coming years. Whereas, the lack of skilled expertise and infrastructure and high operation along with lack of awareness are some of the factor that are about to hamper the growth of AI in Manufacturing Market.

Key Insights & Findings from the Report:

  • According to our primary respondents’ research, the AI in Manufacturing market is predicted to grow at a CAGR of roughly 51.5% during the forecast period.

  • The AI in Manufacturing market was estimated to be worth roughly USD 1,482.50 Million in 2021 and is expected to reach USD 17,925.50 Million by 2028; based on primary research.

  • On the basis of region, Asia-Pacific is projected to dominate the worldwide AI in Manufacturing market.

List of Prominent Players in the Global AI in Manufacturing Market:

  • NVIDIA Corporation (US)

  • IBM Corporation (US)

  • Alphabet Inc. (Google) (US)

  • Microsoft Corporation (US)

  • Intel Corporation (US)

  • Siemens AG (Germany)

  • General Electric Company (US)

  • General Vision Inc. (US)

  • Progress Software Corporation (US)

  • Micron Technology Inc. (US)

  • Mitsubishi Electric Corporation (Japan)

  • Sight Machine (US)

  • Cisco Systems Inc. (US)

  • SAP SE (Germany)

  • Rockwell Automation Inc. (US)

  • AIBrain Inc. (US)

  • Vicarious Inc. (US)

  • Oracle Corporation (US)

  • Amazon Web Services (US)

  • Spark Cognition Inc. (US)

  • Rethink Robotics (Germany)

  • UBTECH Robotics Corp. (China)

  • Aquant Inc. (Israel)

  • Bright Machines (US)

  • Flutura Decision Sciences & Analytics (India)

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The AI in Manufacturing Market is segmented as below:

  • Offering (Hardware, Software, Services).

  • Technology (Machine Learning, Natural Language Processing, Context-aware Computing, Computer Vision).

  • Application (Predictive Maintenance and Machinery Inspection, Material Movement, Production Planning, Field Services, Quality Control, Cybersecurity, Industrial Robots, Reclamation).

  • Industry (Automobile, Energy and Power, Pharmaceuticals, Heavy Metals and Machine Manufacturing, Semiconductors and Electronics, Food & Beverages, Others).

Market Dynamics:

Driver- Increase in adoption in AI technology for production optimization

Industries like automobiles, chemical, electronics, food among others are witnessing the need for production optimization due to competitive environment. Artificial intelligence and Machine Learning the two powerful tools to minimize the consumption of resources in every industrial process and maximize the output by optimizing the power consumption. AI and ML are build a statistical model using available data from various sensors, material used in manufacturing and various software’s. Based on this data it predicts the accurate parameter for final product resulting in saving extra material and additional resources in the production process. This enables the business to make the production cost effective.

Driver-Implementation of Industrial 4.0

The influence of industrial 4.0 on the manufacturing sector is tremendous. With 4.0 the industries are getting smarter by adoption of smart sensors, interconnected systems, and others. But due to this a large amount of data is exchanged among the machines. To handle such large amount of data, Artificial intelligence is the best choice as it facilitates intelligent manufacturing. Intelligent manufacturing uses AI based data driven model that that takes manufacturing decision, prediction and real time optimization in manufacturing process. Hence, driving the growth of the AI in Manufacturing Market.

Challenges:

The implementation of AI requires skilled labour who can handle the entire process right from start to end. The concerned person should have in depth knowledge about AI, its behaviour, implementation and limitation. Thus, lack of skill and knowledge whether AI can handle the entire process or not is what hampering the growth of AI.

A potential barrier to adoption of AI technology is the manufacturer lack of trust in its capabilities. People without relevant education background often struggle to understand the working model of technology and do not have full confidence in its working.

Browse AI in Manufacturing Market Reports @ https://www.vantagemarketresearch.com/industry-report/ai-in-manufacturing-market-1404

Regional Trends:

Asia Pacific is estimated to be the largest shareholder for the Global AI in Manufacturing Market due to the presence of large number of manufacturing companies in China, India, Japan and South Korea and their rising focus on digitalization and technological advancement. Also, the government of India, China, Japan and Singapore are investing in technologies like AI and boosting its use in manufacturing sector and for industries 4.0. China’s implementation of AI is very high. The initiative of Indian government like Make in India is motivating the manufacturing sector and startup’s to use advanced technology like AI. The government of Singapore is inviting private firm’s investment to test AI functionality for the country.

Europe is estimated to be the next biggest shareholder after India, because of countries like UK which are making a huge investment in R&D of advanced technologies like AI. Also, the latest guidelines of government of Italy for the public about the National Strategy in Artificial Intelligence is likely to boost the use of AI in the region. North America, on the other hand, will witness significant growth owing to increasing investment in R&D activities and a growing number of startup’s for AI technology.

Recent Development:

  • February 2022, IBM Corporation announced the launch of the IBM Sustainability Accelerator, a global pro bono social impact program that applies IBM technologies, such artificial intelligence, and an ecosystem of experts to enhance and scale non-profit and government organization operations, focused on populations vulnerable to environmental threats including climate change, extreme weather, and pollution.

  • March 2020, Siemens collaborated with NEC to provide manufacturing industries solutions and AI monitoring to accelerate digitalization

  • July 2019, Microsoft partnered and invested $1billion in company named OpenAI. OpenAI enhance Azure platform and build next gen application. Azure will thus be working on running AI technologies.

The report on the Global AI in Manufacturing Market highlights:

  • Assessment of the market

  • Premium Insights

  • Competitive Landscape

  • COVID Impact Analysis

  • Historic Data, Estimates, and Forecast

  • Company Profiles

  • Global and Regional Dynamics

Key Questions Answered in The Report:

  • What is AI in Manufacturing?

  • How big is the AI in Manufacturing market?

  • What is AI in Manufacturing product use for?

  • Who are the key players in the AI in Manufacturing market?

  • What is the scope of growth in the AI in Manufacturing market?

  • What are the key trends in the AI in Manufacturing market report?

  • What is the core strategy for growth in the AI in Manufacturing market?

  • Which is base year calculated in the AI in Manufacturing market report?

  • What are the risks involved in investing in the AI in Manufacturing market?

  • What are the main opportunities for growth in the AI in Manufacturing market?

  • What are the core strategies of key players in the AI in Manufacturing market?

This market titled “Global AI in Manufacturing Market” will cover exclusive information in terms of Geographic Segmentation, Forecast, Regional Analysis, Key Market Trends, and various others as mentioned below:

Parameter

Details

Market Size in 2021

USD 1,482.50 Million

Revenue Forecast by 2028

USD 17,925.50 Million

CAGR

51.5% From 2022 – 2028

Base Year

2021

Forecast Years

2022-2028

Segments Covered

• Offering

  ° Hardware

  ° Software

  ° Services

• Technology

  ° Machine Learning

  ° Natural Language Processing

  ° Context-aware Computing

  ° Computer Vision

• Application

  ° Predictive Maintenance and Machinery Inspection

  ° Material Movement

  ° Production Planning

  ° Field Services

  ° Quality Control

  ° Cybersecurity

  ° Industrial Robots

  ° Reclamation

• Industry

  ° Automobile

  ° Energy and Power

  ° Pharmaceuticals

  ° Heavy Metals and Machine Manufacturing

  ° Semiconductors and Electronics

  ° Food & Beverages

  ° Others

Region & Counties Covered

• North America

  ° U.S.

  ° Canada

  ° Mexico

• Europe

  ° U.K

  ° France

  ° Germany

  ° Italy

  ° Spain

  ° Rest Of Europe

• Asia Pacific

  ° China

  ° Japan

  ° India

  ° South Korea

  ° South East Asia

  ° Rest Of Asia Pacific

• Latin America

  ° Brazil

  ° Argentina

  ° Rest Of Latin America

• Middle East & Africa

  ° GCC Countries

  ° South Africa

  ° Rest Of Middle East & Africa

Companies Covered

• NVIDIA Corporation (US)

• IBM Corporation (US)

• Alphabet Inc. (Google) (US)

• Microsoft Corporation (US)

• Intel Corporation (US)

• Siemens AG (Germany)

• General Electric Company (US)

• General Vision Inc. (US)

• Progress Software Corporation (US)

• Micron Technology Inc.(US)

• Mitsubishi Electric Corporation (Japan)

• Sight Machine (US)

• Cisco Systems Inc. (US)

• SAP SE (Germany)

• Rockwell Automation Inc. (US)

• AI Brain Inc. (US)

• Vicarious Inc. (US)

• Oracle Corporation (US)

• Amazon Web Services (US)

• Spark Cognition Inc. (US)

• Rethink Robotics (Germany)

• UBTECH Robotics Corp. (China)

• Aquant Inc. (Israel)

• Bright Machines (US)

• and Flutura Decision Sciences & Analytics (India).

Report Coverage

Market growth drivers, restraints, opportunities, Porter’s five forces analysis, PEST analysis, value chain analysis, regulatory landscape, technology landscape, patent analysis, market attractiveness analysis by segments and North America, company market share analysis, and COVID-19 impact analysis

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