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IBM Application approach
Killexams : IBM Application approach - BingNews https://killexams.com/pass4sure/exam-detail/000-819 Search results Killexams : IBM Application approach - BingNews https://killexams.com/pass4sure/exam-detail/000-819 https://killexams.com/exam_list/IBM Killexams : ‘India is a perfect example of the application of open hybrid cloud’

You have seen the company grow from being just about enterprise Linux to becoming a multi-billion dollar open source enterprise products firm. Having stepped into Cormier’s shoes, are you planning any change in strategy?

The short answer is ‘No’. I’m pretty lucky that I have worked within about 20 feet of Paul for the last 10 years. So, I’ve had the opportunity to have a hand in the team we’ve built and the strategy we’ve built and the bets and positions we’ve made around open hybrid cloud. In my last role, I was heading all of our products and technology and business unit teams. Hence, I know the team and the strategy. And we will evolve. If we look at the cloud services market that’s moving fast, our commercial models will change there to make sure that as customers have a foot on prem (on premises) and in private cloud, we serve them well. As hybrid extends to edge (computing), it will also change how we approach that market. But our fundamental strategy around open hybrid cloud doesn’t change. So, it’s a nice spot to be here, where I don’t feel compelled to make any change, but focus more on execution. 

Tell us a bit about Red Hat’s focus on India, and your expansion plans in the country.

When we see the growth and opportunity in India, it mimics what we see in a lot of parts of the globe—software-defined innovation that is going to be the thing that lets enterprises compete. That could be in traditional markets where they’re leveraging their data centres; or it could be leveraging public cloud technologies. In certain industries, that software innovation is moving to the devices themselves, which we call edge. India is a perfect example of the application of open hybrid cloud because we can serve all of those use cases—from edge deployments in 5G and the adjacent businesses that will be built around that, to connectivity to the public clouds.

Correia (Marshall Correia is vice-president and general manager, India, South Asia at Red Hat): We have been operating in the country for multiple decades and our interest in India is two-fold. One is go-to-market in India, working with the Indian government, Indian enterprises, private sector as well as public sector enterprises. We have a global delivery presence in cities like Pune and Bengaluru. Whether you look at the front office, back office, or mid-office, we are deeply embedded into it (BSE, National Stock Exchange (NSE), Aadhaar, GST Network (GSTN), Life Insurance Corporation of India (LIC), SBI Insurance and most core banking services across India use Red Hat open source technologies). For instance, we work with Infosys on GSTN. So, I would say there is a little bit of Red Hat played out everywhere (in India) but with some large enterprises, we have a very deep relationship. 

Do you believe Red Hat is meeting IBM’s expectations? How often do you interact with Arvind Krishna, and what do you discuss?

About five years ago, Arvind and I were on stage together, announcing our new friendship around IBM middleware on OpenShift. I talk to him every few days. A lot of this credit goes to Paul. We’ve struck the balance with IBM. Arvind would describe it as Red Hat being “independent" (since) we have to partner with other cloud providers, other consulting providers, (and) other technology providers (including Verizon, Accenture, Deloitte, Tata Consultancy Services, and IBM Consulting). But IBM is very opinionated on Red Hat—they built their middleware to Red Hat, and we are their core choice for hybrid. Red Hat gives them (IBM) a technology base that they can apply their global reach to. IBM has the ability to bring open source Red Hat technology to every corner of the planet. 

How are open source architectures helping data scientists and CXOs with the much-needed edge adopting AI-ML (artificial intelligence and machine learning)?

AI is a really big space, and we have always sort of operated in how to get code built and (get it) into production faster. But now training models that can answer questions with precision are running in parallel. Our passion is to integrate that whole flow of models into production, right next to the apps that you’re already building today—we call this the ML ops (machine learning operations, which is jargon for a set of best practices for businesses to run AI successfully) space.

What that means is that we’re not trying to be the best in natural language processing (NLP) or building foundation AI models on it or convolutional neural networks (CNNs). We want to play in our sweet spot, which is how we arm data science teams to be able to get their models from development to production and time into those apps. This is the work we’ve done on OpenShift data science (managed cloud service for data scientists and developers) with it.

Another piece that’s changing and has been exciting for us, is hardware. As an example, cars today and going forward are moving to running just a computer in them. What we do really well is to put Linux on computers and the computer in your car, and the future will look very similar to the computer in your data centre today. And when we’re able to combine that platform, with bringing these AI models into that environment with the speed that you do with code with application integration, it opens up a lot of exciting opportunities for customers to get that data science model of building into the devices, or as close to customers as they possibly can.

This convergence is important, and it’s not tied to edge. Companies have realized that the closer they can push the interaction to the user, the better the experience it’s going to be.

And that could be in banking or pushing self-service to users‘ phones. In autonomous driving, it’s going to be pushing the processing down to your rear view mirror to make decisions for you. In mining, it might be 5g. At the core of it is how far can you push your differentiated logic closer to your consumer use case. That’s why I think we see the explosion in edge.

As a thought leader, I would like your views on trends like the decentralized web and open source metaverse.

If you look at the Red Hat structure, we have areas where we’re committed to businesses through our business units. But then we also have our office of technology that’s led by our CTO, Chris Wright, where we track industry trends where we haven’t necessarily taken a business stake or position but want to understand the technology behind it. The cryptographic blockchain decentralizing core technology foundations, which we watch very closely, is in this space right now. Because they do change the way you operate. It’s strikingly similar to how open source and coding practices are seen as normal today but when I started this 20 years ago, it was a much more connected and controlled experience versus a very decentralized one today. So, we track this very closely from a technology perspective (but) we haven’t yet taken a business position of this.

In this context, do you collaborate with IBM R&D too?

Yeah, we do. We worked closely with the IBM research team run by Dario Gil (senior VP and director of IBM Research) pre-acquisition, and we work even closer with them now. Post-acquisition, the focus on Red Hat and the clarity on IBM’s focus on open hybrid cloud have helped us collaborate even better.

Last, but not the least, what is Red Hat’s stance on the patent promise it made in September 2017, given that your company is now an IBM unit (which has over 70,000 active patents)?

We continue to collect our patents in a way that they won’t be leveraged against other users of open source. Red Hat will do it (patent) for the benefit of open source and to make the usage of open source a little safer. My patents, I believe, are included in that, and will continue to be included in that going forward.

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Mon, 08 Aug 2022 17:31:00 -0500 en text/html https://www.livemint.com/companies/people/india-is-a-perfect-example-of-the-application-of-open-hybrid-cloud-11659981260451.html
Killexams : Astadia Publishes Mainframe to Cloud Reference Architecture Series

The guides leverage Astadia’s 25+ years of expertise in partnering with organizations to reduce costs, risks and timeframes when migrating their IBM mainframe applications to cloud platforms

BOSTON, August 03, 2022--(BUSINESS WIRE)--Astadia is pleased to announce the release of a new series of Mainframe-to-Cloud reference architecture guides. The documents cover how to refactor IBM mainframes applications to Microsoft Azure, Amazon Web Services (AWS), Google Cloud, and Oracle Cloud Infrastructure (OCI). The documents offer a deep dive into the migration process to all major target cloud platforms using Astadia’s FastTrack software platform and methodology.

As enterprises and government agencies are under pressure to modernize their IT environments and make them more agile, scalable and cost-efficient, refactoring mainframe applications in the cloud is recognized as one of the most efficient and fastest modernization solutions. By making the guides available, Astadia equips business and IT professionals with a step-by-step approach on how to refactor mission-critical business systems and benefit from highly automated code transformation, data conversion and testing to reduce costs, risks and timeframes in mainframe migration projects.

"Understanding all aspects of legacy application modernization and having access to the most performant solutions is crucial to accelerating digital transformation," said Scott G. Silk, Chairman and CEO. "More and more organizations are choosing to refactor mainframe applications to the cloud. These guides are meant to assist their teams in transitioning fast and safely by benefiting from Astadia’s expertise, software tools, partnerships, and technology coverage in mainframe-to-cloud migrations," said Mr. Silk.

The new guides are part of Astadia’s free Mainframe-to-Cloud Modernization series, an ample collection of guides covering various mainframe migration options, technologies, and cloud platforms. The series covers IBM (NYSE:IBM) Mainframes.

In addition to the reference architecture diagrams, these comprehensive guides include various techniques and methodologies that may be used in forming a complete and effective Legacy Modernization plan. The documents analyze the important role of the mainframe platform, and how to preserve previous investments in information systems when transitioning to the cloud.

In each of the IBM Mainframe Reference Architecture white papers, readers will explore:

  • Benefits, approaches, and challenges of mainframe modernization

  • Understanding typical IBM Mainframe Architecture

  • An overview of Azure/AWS/Google Cloud/Oracle Cloud

  • Detailed diagrams of IBM mappings to Azure/AWS/ Google Cloud/Oracle Cloud

  • How to ensure project success in mainframe modernization

The guides are available for get here:

To access more mainframe modernization resources, visit the Astadia learning center on www.astadia.com.

About Astadia

Astadia is the market-leading software-enabled mainframe migration company, specializing in moving IBM and Unisys mainframe applications and databases to distributed and cloud platforms in unprecedented timeframes. With more than 30 years of experience, and over 300 mainframe migrations completed, enterprises and government organizations choose Astadia for its deep expertise, range of technologies, and the ability to automate complex migrations, as well as testing at scale. Learn more on www.astadia.com.

View source version on businesswire.com: https://www.businesswire.com/news/home/20220803005031/en/


Wilson Rains, Chief Revenue Officer

Wed, 03 Aug 2022 02:00:00 -0500 en-US text/html https://finance.yahoo.com/news/astadia-publishes-mainframe-cloud-reference-140000599.html
Killexams : How to Use AI in Video Workflows

The key to understanding how to best use artificial intelligence in video workflows is knowing when to implement it for the appropriate applications. Ethan Dreilinger, Client Solutions Engineer, IBM Watson Advertising and The Weather Company, Carlos Hernandez, Chief Revenue Officer, SSIMWAVE, and Gordon Brooks, Executive Chairman and CEO, Zixi, discuss the distinctions between automation and AI, along with how AI can be applied to automation to help maximize and streamline production workflows.

“When I talk to media companies about applying AI, I start at the bottom of a workflow and take those mundane tasks and start to think about how you can express them with AI,” Dreilinger says. He believes that letting machines analyze data is the ideal approach, while people such as Producers should handle creative content and cognitive-oriented tasks. “I think in terms of the bottom rung, really start low and build on top of that and take those low-lying tasks and start to automate them,” he says.

Hernandez asks where Dreilinger draws the distinction between automation and AI. “Not all automation is AI-driven,” he says. “So where would you say it makes sense?”

“AI can feed automation, certainly, but automation just kind of runs on its own,” Dreilinger says. “We have some products in our stack where you can go into an app and the app will start to understand what your preferences are because of AI.” This application of AI can be very useful for end users. “'That should go above this because that person likes pollen count more than precipitation forecast,’” he cites as an example.

Hernandez notes that automation and AI are often confused in the market. “We believe that in some cases, machine learning processes make sense, but in others, knowledge-based [uses] are the most appropriate. The key about artificial intelligence is knowing where it has value and where it doesn't," he says.

“It's a tool, like anything else, right?” Dreilinger says. “When you do a home repair job and you need a Phillips head screwdriver, you don't pull out a flathead screwdriver, you get your Phillips head screwdriver. It's a tool to use and you need to know when to use it.”

Gordon Brooks concurs and sums up these points. “It goes through the concept of advanced analytics. It's just one of the tools in that toolbox of doing those advanced analytics, which then drives automation and other things. So, I agree.”

Learn more about video workflows at Streaming Media West 2022.

Watch full-session videos from Streaming Media East 2022.

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How to Excellerate Live Video Workflows Through Optimized Root Cause Analysis

Zixi has improved live video workflows through their specialized Software-Defined Video Platform, which uses dynamic machine learning and an automated analytics approach to Root Cause Analysis to assist with faster team problem-solving collaboration

Biggest Challenges of Moving from On-Prem to Cloud Video Workflows

Some streaming pros say cloud production has made 5-10 years of progress in the two years since the pandemic shook live production to its core, but when will cloud offer the sort of no-latency communication, preview, and replay producers expect and rely on in on-prem workflows? And will it require a paradigm shift in the way producers think about hardware purchases and usage? Live X's Corey Behnke, CNN's Ben Ratner, LiveU's Mike Savello, and Signiant's Jon Finegold discuss the challenges of cloud migration and the current state of cloud in this clip from Streaming Media East 2022.

The Biggest Misconceptions About AI Video Workflow Automation

Zixi VP of Business Development Eric Bolten discusses some of the prevailing misconceptions about AI/ML video workflow automation in this clip from Streaming Media Connect 2022.

Mon, 08 Aug 2022 01:00:00 -0500 text/html https://www.streamingmedia.com/Articles/Editorial/Short-Cuts/How-to-Use-AI-in-Video-Workflows-154284.aspx
Killexams : Could IBM Become the Next Microsoft?

International Business Machines (IBM -1.14%) has redefined itself primarily as a cloud company. After stagnating for years as an IT services company, it orchestrated a $34 billion takeover of Red Hat in 2019, and in 2021, spun off its managed infrastructure business into Kyndryl.

Microsoft (MSFT 0.71%) also transformed itself into a cloud company (in the 2010s), and in many respects, IBM's metamorphosis resembles that of Microsoft years ago. Moreover, the cloud business has changed significantly over the past decade.

These evolutionary changes for the two companies have some investors asking whether IBM is trying to make itself into the next Microsoft and, if it is, whether it can succeed in that effort.

IBM vs. Microsoft

Given the history of IBM and Microsoft, it's really not all that strange that one of the oldest tech companies around would want to take on the characteristics of a successful, younger entity. IBM had already been operating for 64 years when Bill Gates and Paul Allen founded Microsoft in 1975. IBM actually helped perpetuate Microsoft's growth surge in 1980 when it agreed to make Microsoft the operating system provider for the iconic IBM PC.

Since then, both companies have made some radical changes in the last 42 years. IBM exited the PC business in 2004, and providing PC operating systems is no longer a primary growth driver for Microsoft. Today, Microsoft prospers due to cloud growth, and IBM has followed its lead by building a new identity as a cloud company. IBM even made its cloud and cognitive software head, Arvind Krishna, its CEO, in January 2020. Likewise, Satya Nadella headed Microsoft's cloud efforts before becoming CEO in 2014.

Still, the cloud approaches each takes have differed significantly. In Microsoft's case, it built a full-fledged cloud infrastructure business to compete directly with Amazon's AWS, which pioneered the cloud and had attracted fewer competitors at that time. Conversely, IBM's Red Hat purchase came after more players such as Alphabet, Alibaba, and many others had become cloud providers.

IBM has more heavily emphasized the hybrid cloud. The hybrid cloud facilitates communication between private and public clouds. Though IBM is not the only hybrid cloud provider, its solution utilizes different technologies to allow public and private clouds to work as it capitalizes on an open-source system with no vendor lock-ins.

But despite the differing approaches, IBM probably wants to achieve Microsoft-like growth. Microsoft was so successful that its market cap is now nearly $1.9 trillion, up from $320 billion in February 2014 when Nadella became CEO. In contrast, IBM's stock fell for most of the 2010s. Consequently, Microsoft's market cap is now about 16 times IBM's market cap of around $115 billion.

How their financials compare

Despite its massive size, Microsoft has consistently posted double-digit revenue and earnings growth. In its fiscal fourth quarter (which ended June 30), its $51.9 billion in revenue increased 12% year over year. Still, net income only climbed 2% during Q4 to just under $16.7 billion. Both the cost of revenue and operating costs grew faster than revenue, and this weighed on net income.

Even as its earnings growth slows, Microsoft's revenue growth still outpaces that of IBM. In the second quarter of 2022, IBM's revenue came in at just under $15.6 billion, a 9% growth rate compared with Q2 2021. Hybrid cloud revenue also surged 16% during this time, a welcome sign considering IBM's desired direction. This led to $1.5 billion in non-GAAP income in Q2, 81% more than in the same period last year. IBM reduced operating costs by 3% during that time as it was preparing for its spin-off of Kyndryl, which affected its costs in 2021.

IBM has remained stable amid the bear market in tech. It has outperformed not only Microsoft but also the S&P 500 over the last year.

IBM Chart

IBM data by YCharts

Additionally, IBM has maintained a lower P/E ratio, trading at 21 times earnings versus 26 for Microsoft. Still, with Microsoft growing revenue more quickly, some investors might perceive Microsoft as a more appealing choice despite the higher multiple.

Is IBM the next Microsoft?

Although IBM seems to walk in Microsoft's footsteps in many respects, investors should not expect IBM to strictly follow its lead. Instead of relying on cloud infrastructure, IBM took a different path, targeting a niche with its hybrid cloud focus.

Moreover, the good news for IBM shareholders is that the company does not need to become the next Microsoft to transform itself. Now that it is driving higher revenue growth levels, its smaller size could help bolster a more positive outlook on IBM stock. If IBM can maintain or expand its current growth pace, its stock could outperform the indexes on a longer-term basis.

Suzanne Frey, an executive at Alphabet, is a member of The Motley Fool's board of directors. John Mackey, CEO of Whole Foods Market, an Amazon subsidiary, is a member of The Motley Fool's board of directors. Will Healy has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Alphabet (A shares), Alphabet (C shares), Amazon, and Microsoft. The Motley Fool has a disclosure policy.

Fri, 29 Jul 2022 03:28:00 -0500 Will Healy en text/html https://www.fool.com/investing/2022/07/29/could-ibm-become-the-next-microsoft/
Killexams : D-Wave completes SPAC, rings bell on New York Stock Exchange as public company No result found, try new keyword!From its inception more than 20 years ago, D-Wave has focused on delivering quantum computing products and services that provide the fastest path to practical, real-world appli ... Tue, 09 Aug 2022 03:42:00 -0500 en-US text/html https://www.datacenterdynamics.com/en/news/d-wave-completes-spac-rings-bell-on-new-york-stock-exchange-as-public-company/ Killexams : Cloud Computing Market Is Anticipated to Expand With a CAGR of 18% From 2022 to 2025 | 118 Report Pages

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

Aug 08, 2022 (The Expresswire) -- [Report Pages No 118] In 2022, What is “Cloud Computing Market” Insights?

"The Cloud Computing market revenue was 112267 Million USD in 2019, and will reach 303072 Million USD in 2025, with a CAGR of 18.0% during 2020-2025."

Cloud Computing Market Insights 2022 By SaaS, IaaS, PaaS (SaaS, IaaS, PaaS1), Applications (Government, Small and Medium-sized Enterprises, Large Enterprises1), Regions and Forecast to 2027. The global Cloud Computing market size is projected to reach multi-million by 2027, in comparison to 2022, with unexpected CAGR during the forecast period, the Cloud Computing Market Report Contains Full TOC, Tables and Figures, and Chart with In-depth Analysis Pre and Post COVID-19 Market Outbreak Impact Analysis and Situation by Region.

During the COVID-19 period, the global economy may be affected in three different ways: directly as it relates to production and demand, indirectly as it relates to supply chains and markets, and as a result of its financial consequences on firms and financial markets. Analysts monitoring the situation around the world explain that producers will be rewarded after the COVID-19 crisis. In this report, we provide an additional illustration of the latest economic slowdown, COVID-19 impact on the industry, and the latest scenario.

Final Report will add the analysis of the impact of COVID-19 on this industry.


This Cloud Computing Market report includes the estimation of market size for value (million USD) and volume (K Units). Both top-down and bottom-up approaches have been used to estimate and validate the market size of the Cloud Computing Market, to estimate the size of various other dependent submarkets in the overall market. Key players in the market have been identified through secondary research, and their market shares have been determined through primary and secondary research. All percentage share splits, and breakdowns have been determined using secondary sources and Tested primary sources.

Get a demo PDF of report - https://www.marketgrowthreports.com/enquiry/request-sample/18478838

The research covers the current Rectifiers market size of the market and its growth rates based on 6-year records with a company outline of Key Players/Manufacturers:

● IBM Corp. ● Google LLC ● Hewlett Packard Enterprise Development LP ● Microsoft Corp. ● SAP SE ● Amazon Web Services Inc. ● Oracle Corp. ● Alibaba Cloud ● Salesforce.com Inc. ● Adobe Inc.

Cloud Computing Market Analysis and Insights:

The Global Cloud Computing Market is anticipated to rise at a considerable rate during the forecast period, between 2022 and 2027. In 2021, the market is growing at a steady rate and with the rising adoption of strategies by key players, the market is expected to rise over the projected horizon.

The Cloud Computing market revenue was 112267 Million USD in 2019, and will reach 303072 Million USD in 2025, with a CAGR of 18.0% during 2020-2025. Cloud computing is shared pools of configurable computer system resources and higher-level services that can be rapidly provisioned with minimal management effort, often over the Internet. Cloud computing relies on sharing of resources to achieve coherence and economies of scale, similar to a public utility.

This report elaborates the market size, market characteristics, and market growth of the Cloud Computing industry, and breaks down according to the type, application, and consumption area of Cloud Computing. The report also introduces players in the industry from the perspective of the industry chain and marketing chain and describes the leading companies.

In Chapter 2.3 of the report, the impact of the COVID-19 outbreak on the industry was fully assessed. Fully risk assessment and industry recommendations were made for Cloud Computing in a special period. This chapter also compares the markets of Pre COVID-19 and Post COVID-19.

Chapter 2.5 covers the analysis of the impact of COVID-19 from the perspective of the industry chain.

In addition, chapters 6-10 consider the impact of COVID-19 on the regional economy.

Get a demo Copy of the Cloud Computing Market Report 2022

The report further studies the market development status and future Cloud Computing Market trend across the world. Also, it splits Cloud Computing Market Segmentation by Type and by Application to fully and deeply research and reveal market profile and prospects.

On the basis of product type this report displays the production, revenue, price, market share and growth rate of each type, primarily split into:

● SaaS ● IaaS ● PaaS

On the basis of the end users/applications, this report focuses on the status and outlook for major applications/end users, consumption (sales), market share and growth rate for each application, including:

● Government ● Small and Medium-sized Enterprises ● Large Enterprises

Chapters 7-26 focus on the regional market. We have selected the most representative 20 countries from 197 countries in the world and conducted a detailed analysis and overview of the market development of these countries.

● North America (United States, Canada and Mexico) ● Europe (Germany, UK, France, Italy, Russia and Turkey etc.) ● Asia-Pacific (China, Japan, Korea, India, Australia, Indonesia, Thailand, Philippines, Malaysia and Vietnam) ● South America (Brazil, Argentina, Columbia etc.) ● Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)


● What is the global (North America, Europe, Asia-Pacific, South America, Middle East and Africa) sales value, production value, consumption value, import and export of Cloud Computing? ● Who are the global key manufacturers of the Cloud Computing Industry? How is their operating situation (capacity, production, sales, price, cost, gross, and revenue)? ● What are the Cloud Computing market opportunities and threats faced by the vendors in the global Cloud Computing Industry? ● Which application/end-user or product type may seek incremental growth prospects? What is the market share of each type and application? ● What focused approach and constraints are holding the Cloud Computing market? ● What are the different sales, marketing, and distribution channels in the global industry? ● What are the upstream raw materials and manufacturing equipment of Cloud Computing along with the manufacturing process of Cloud Computing? ● What are the key market trends impacting the growth of the Cloud Computing market? ● Economic impact on the Cloud Computing industry and development trend of the Cloud Computing industry? ● What are the market opportunities, market risk, and market overview of the Cloud Computing market? ● What are the key drivers, restraints, opportunities, and challenges of the Cloud Computing market, and how they are expected to impact the market? ● What is the Cloud Computing market size at the regional and country-level?

Inquire more and share questions if any before the purchase on this report at - https://www.marketgrowthreports.com/enquiry/pre-order-enquiry/18478838

Major Points from Table of Contents -

Global Cloud Computing Market Research Report 2022-2027, by Manufacturers, Regions, SaaS, IaaS, PaaS and Applications

1 Introduction

1.1 Objective of the Study

1.2 Definition of the Market

1.3 Market Scope

1.3.1 Market Segment by Type, Application and Marketing Channel

1.3.2 Major Regions Covered (North America, Europe, Asia Pacific, Mid East and Africa)

1.4 Years Considered for the Study (2017-2027)

1.5 Currency Considered (U.S. Dollar)

1.6 Stakeholders

2 Key Findings of the Study

3 Market Dynamics

3.1 Driving Factors for this Market

3.2 Factors Challenging the Market

3.3 Opportunities of the Global Cloud Computing Market (Regions, Growing/Emerging Downstream Market Analysis)

3.4 Technological and Market Developments in the Cloud Computing Market

3.5 Industry News by Region

3.6 Regulatory Scenario by Region/Country

3.7 Market Investment Scenario Strategic Recommendations Analysis

4 Value Chain of the Cloud Computing Market

4.1 Value Chain Status

4.2 Upstream Raw Material Analysis

4.3 Midstream Major Company Analysis (by Manufacturing Base, by Product Type)

4.4 Distributors/Traders

4.5 Downstream Major Customer Analysis (by Region)

Get a demo Copy of the Cloud Computing Market Report 2022

5 Global Cloud Computing Market-Segmentation by Type

6 Global Cloud Computing Market-Segmentation by Application

7 Global Cloud Computing Market-Segmentation by Marketing Channel

7.1 Traditional Marketing Channel (Offline)

7.2 Online Channel

8 Competitive Intelligence Company Profiles

9 Global Cloud Computing Market-Segmentation by Geography

9.1 North America

9.2 Europe

9.3 Asia-Pacific

9.4 Latin America

9.5 Middle East and Africa

10 Future Forecast of the Global Cloud Computing Market from 2022-2027

10.1 Future Forecast of the Global Cloud Computing Market from (2022-2027) Segment by Region

10.2 Global Cloud Computing Production and Growth Rate Forecast by Type (2022-2027)

10.3 Global Cloud Computing Consumption and Growth Rate Forecast by Application (2022-2027)

11 Appendix

11.1 Methodology

12.2 Research Data Source


Browse complete table of contents at -


Reasons to buy this report:

● To get a comprehensive overview of the Cloud Computing Market ● To gain wide ranging information about the top players in this industry, their product portfolios, and key strategies adopted by the players. ● To gain insights of the countries/regions in the Cloud Computing Market.

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To view the original version on The Express Wire visit Cloud Computing Market Is Anticipated to Expand With a CAGR of 18% From 2022 to 2025 | 118 Report Pages


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Killexams : How a CIO’s approach to cloud, AI and ML is transforming Nigeria’s Dangote Industries

Prasanna Burri began his career as a mechanical engineer in India but had a secret passion for IT. His endeavour to get into the technology space led him to learn about enterprise application platforms and he eventually started his ERP career at IBM. Later he joined SAP Labs in the US where he was immersed in product management for cloud technology. Since 2013 he’s been overseeing the Dangote Group’s IT operations across Africa.  

In a big group like Dangote, how challenging is it to manage IT in all parts of the company?

It’s a complex organisation with a lot of diversified business lines and regions. We embrace proven technologies like the Microsoft platform for endpoint management servers, active directory, email and endpoint protection. It was a modest start but today we spend almost 10 times more than in 2014 on the Azure Cloud subscriptions. Almost all our applications run in the cloud and I can say about 95% of our operations run in different cloud environments, whether SAP or Microsoft. We continue to expand to implement some near processes and go through continuous improvement cycles, and we’re a certified SAP Center of Excellence. We also have a very strong hybrid cloud infrastructure and a dedicated, in-house talent base that’s open to embracing newer technologies like AI and ML.

Can you describe the importance of cloud technologies across Africa today?

There’s an increasing appetite even though infrastructure scaling is time-consuming in terms of logistics bringing in equipment. A lot of good talent from Africa is migrating to greener pastures, especially in the last few years. With cloud technologies, though, companies can scale despite talent shortages in the region, and support tech talent can also be found anywhere in the world. We ultimately don’t need to suffer from the latency of acquisitions of equipment. It’s a big shot in the arm, especially in the environment we operate in where we can scale fast and where we have more visibility and control over what’s happening due to remote management options and features available with these platforms. It’s also necessary to have a hybrid system set up in case of any large-scale disruption even though they’re rare. Cloud is the way to go but it depends on the industry and the region.

With cloud technologies come the opportunity to implement AI and ML. How is the company taking advantage of this?

We have at least three use cases we’ve been working on: logistics, which is fleet management for our trucks; the master data management and data clean-up, which AI can do a better job; and where we can run optical character recognition (OCR) automatically on vendor invoices using Microsoft cloud Power Platform, along with ML services. We’re also trying to leverage the capabilities of AI and ML in security on the Azure platform, where Microsoft endpoint manager and Intune orchestrate security of servers and endpoints, as well as mobile devices, across the group from the cloud.

What is the state of connectivity that strings all these technologies together?

We don’t see as many disruptions and downtime for business solely due to network connectivity. It’s a lot less nowadays than maybe five years ago. There’s also a continuous growth in bandwidth. A lot of times, there are issues in the last mile. The trunk routes are generally okay, but there’s still always room for growth and optimisation, and there’s reasonable capacity, especially in urban regions with the advent of some newer technologies like Starlink. I expect that in a year or two, we’ll start seeing a greater prevalence of connectivity in the remote parts as well. 

What other challenges do you face when implementing these technologies in the company?

Technology in itself is never a problem. The hardest part is acquiring talent. Sometimes you don’t find engineering talent or the talent you have has matured, which may leave you short because they’ve found better opportunities in the West or Middle East, for instance. Then there’s user adoption and change management in processes and new technologies. Those are the two challenges that revolve around implementing new technologies.

How then do you find talent and screen them for suitability?

Most of the time, we hire people based on their attitude and knowledge, and in some cases also for their experience. We use recruiting tools for job board postings, and online assessment tools to pick qualified people based on the job specification. Then in some cases, they might even receive some additional assignments to ensure that the aptitude is there.

How big is the ICT team at Dangote Group?

We are close to 150 personnel and a good part of our team belongs to endpoint security and last-mile tech support. We have one of the leanest shops from that aspect, but we’re looking to hire more local talent and be more resilient due to the changing pressure of acquiring talent from the marketplace. We also have a constant flurry of training from original equipment manufacturers (OEMs) and subscriptions for LinkedIn Learning for the majority of our information work staff.

What would be your parting shot to other Africa-based enterprises looking to adopt cloud, AI and machine learning?

The primary goal is to sustain and enable businesses to operate efficiently with certain proven innovations. Also, the target is to expand the presence of the organisation in the market, and keep customers happy. IT experts should know the goal of the business before adopting technology. They can think through challenges like how to make sure the dispatch operations run without stopping, ensure there’s adequate disaster resilience, and that end users are being productive with such tools and services. Successful IT leaders have a consultancy and advisory approach. They understand the needs of the business and can conceive solutions and relay them in a way that gets the buy-in from the leadership.

Tue, 26 Jul 2022 22:06:00 -0500 Author: Vincent Matinde en-US text/html https://www.cio.com/article/403815/how-a-cios-approach-to-cloud-ai-and-ml-is-transforming-nigerias-dangote-industries.html
Killexams : Amentum Recognized as the Best Maximo Asset Data Governance Program at the 2022 MaximoWorld Conference

Amentum, a premier global government and private-sector partner supporting the most critical missions of government and commercial organizations worldwide, was awarded Best Maximo Asset Data Governance Program at the 2022 MaximoWorld Conference in Austin, TX, today for their work with Interloc Solutions, Inc. (Interloc) in optimizing data and decision making through a progressive and reliability centered data governance strategy. MaximoWorld, hosted by ReliabilityWeb.com, for over 20 years, has been the largest cross-industry gathering for Maximo users, partners, and subject matter experts.

AUSTIN, Texas, Aug. 9, 2022 /PRNewswire-PRWeb/ -- Amentum, a premier global government and private-sector partner supporting the most critical missions of government and commercial organizations worldwide, was awarded Best Maximo Asset Data Governance Program at the 2022 MaximoWorld Conference in Austin, TX, today for their work with Interloc Solutions, Inc. (Interloc) in optimizing data and decision making through a progressive and reliability centered data governance strategy. MaximoWorld, hosted by ReliabilityWeb.com, for over 20 years, has been the largest cross-industry gathering for Maximo users, partners, and subject matter experts.

Through an IBM Maximo Asset Management data governance strategy, elevated and enabled by Interloc's Mobility first philosophy to EAM, Amentum fosters excellent data quality, asset knowledge, and decision-making for its clients its clients around the world. By employing a program that enhances data quality through real-time visibility, and improved inspections and data readings, Amentum increases its asset knowledge, and predictive maintenance capabilities and analysis, giving its clients a proactive edge. Amentum's award-winning approach decreases mean time to repair (MTTR) and increases mean time between failures (MTBF) for its clients' key assets by taking advantage of the quality Maximo data gained via Mobile Informer and analyzing it through a robust data analytics platform.

Amentum's emphasis on mobility has also resulted in significant gains for its clients' sustainability initiatives. Mobile Informer's ability to eliminate reliance on paper-based procedures and immensely Excellerate data collection and quality led to one client in particular saving tens of thousands of dollars in annual paper, toner, and labor costs, as well as a near 20,000 lbs reduction in annual C02 emissions.

Data drives decision-making, and thanks to the powerful capabilities of and an innovative and progressive approach to Maximo, Amentum is making the best possible decisions based on the highest quality data for its clients around the world.

About Amentum

Headquartered in Germantown, Md., Amentum is a premier global services partner supporting critical programs of national significance across defense, security, intelligence, energy, commercial and environmental sectors. Amentum employs approximately 57,000 people on all seven continents and draws from a century-old heritage of operational excellence, mission focus, and successful execution. Amentum's reliability-centered and data-driven approach to asset management has proven successful at critical industrial and manufacturing facilities across various industries and facilities, such as pharmaceutical, life sciences, heavy industrial manufacturing, chemical refinement, aviation, automotive production, data centers, consumer production, industrial production, and more.

Learn more about Amentum at https://www.amentum.com/ .

About Interloc Solutions

Since 2005, Interloc Solutions, an IBM Gold Business Partner and the largest independent IBM Maximo Enterprise Asset Management systems integrator in North America, has been helping clients and partners realize the greatest potential from their Maximo investment, providing application hosting, innovative consulting, and managed services. Interloc has enhanced the implementation and adoption of Maximo through its transformative Mobile Informer solution, which is currently in use across a wide range of disciplines and industries— including U.S. Federal Agencies, Utilities, Transportation, Airport Operations, Manufacturing, Healthcare, and the Oil and Gas.

As a consulting organization of highly qualified technology and maintenance professionals, experienced in all versions of Maximo, Interloc excels in delivering comprehensive, best-practice Maximo EAM consulting services and mobile solutions.

Learn more about Interloc's award-winning services and solutions at http://www.interlocsolutions.com .

Media Contact

Scott Peluso, Interloc Solutions, 9168174590, info@interlocsolutions.com

SOURCE Interloc Solutions

© 2022 Benzinga.com. Benzinga does not provide investment advice. All rights reserved.

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Tue, 09 Aug 2022 04:15:00 -0500 text/html https://www.benzinga.com/pressreleases/22/08/n28421975/amentum-recognized-as-the-best-maximo-asset-data-governance-program-at-the-2022-maximoworld-confer
Killexams : IBM Annual Cost of Data Breach Report 2022: Record Costs Usually Passed On to Consumers, “Long Breach” Expenses Make Up Half of Total Damage

IBM’s annual Cost of Data Breach Report for 2022 is packed with revelations, and as usual none of them are good news. Headlining the report is the record-setting cost of data breaches, with the global average now at $4.35 million. The report also reveals that much of that expense comes with the data breach version of “long Covid,” expenses that are realized more than a year after the attack.

Most organizations (60%) are passing these added costs on to consumers in the form of higher prices. And while 83% of organizations now report experiencing at least one data breach, only a small minority are adopting zero trust strategies.

Security AI and automation greatly reduces expected damage

The IBM report draws on input from 550 global organizations surveyed about the period between March 2021 and March 2022, in partnership with the Ponemon Institute.

Though the average cost of a data breach is up, it is only by about 2.6%; the average in 2021 was $4.24 million. This represents a total climb of 13% since 2020, however, reflecting the general spike in cyber crime seen during the pandemic years.

Organizations are also increasingly not opting to absorb the cost of data breaches, with the majority (60%) compensating by raising consumer prices separate from any other latest increases due to inflation or supply chain issues. The report indicates that this may be an underreported upward influence on prices of consumer goods, as 83% of organizations now say that they have been breached at least once.

Brad Hong, Customer Success Manager for Horizon3.ai, sees a potential consumer backlash on the horizon once public awareness of this practice grows: “It’s already a breach of confidence to lose the confidential data of customers, and sure there’s bound to be an organization across those surveyed who genuinely did put in the effort to protect against and curb attacks, but for those who did nothing, those who, instead of creating a disaster recovery plan, just bought cyber insurance to cover the org’s operational losses, and those who simply didn’t care enough to heed the warnings, it’s the coup de grâce to then pass the cost of breaches to the same customers who are now the victims of a data breach. I’d be curious to know what percent of the 60% of organizations who increased the price of their products and services are using the extra revenue for a war chest or to actually reinforce their security—realistically, it’s most likely just being used to fill a gap in lost revenue for shareholders’ sake post-breach. Without government regulations outlining restrictions on passing cost of breach to consumer, at the least, not without the honest & measurable efforts of a corporation as their custodian, what accountability do we all have against that one executive who didn’t want to change his/her password?”

Breach costs also have an increasingly long tail, as nearly half now come over a year after the date of the attack. The largest of these are generally fines that are levied after an investigation, and decisions or settlements in class action lawsuits. While the popular new “double extortion” approach of ransomware attacks can drive long-term costs in this way, the study finds that companies paying ransom demands to settle the problem quickly aren’t necessarily seeing a large amount of overall savings: their average breach cost drops by just $610,000.

Sanjay Raja, VP of Product with Gurucul, expands on how knock-on data breach damage can continue for years: “The follow-up attack effect, as described, is a significant problem as the playbooks and solutions provided to security operations teams are overly broad and lack the necessary context and response actions for proper remediation. For example, shutting down a user or application or adding a firewall block rule or quarantining a network segment to negate an attack is not a sustainable remediation step to protect an organization on an ongoing basis. It starts with a proper threat detection, investigation and response solution. Current SIEMs and XDR solutions lack the variety of data, telemetry and combined analytics to not only identify an attack campaign and even detect variants on previously successful attacks, but also provide the necessary context, accuracy and validation of the attack to build both a precise and complete response that can be trusted. This is an even greater challenge when current solutions cannot handle complex hybrid multi-cloud architectures leading to significant blind spots and false positives at the very start of the security analyst journey.”

Rising cost of data breach not necessarily prompting dramatic security action

In spite of over four out of five organizations now having experienced some sort of data breach, only slightly over 20% of critical infrastructure companies have moved to zero trust strategies to secure their networks. Cloud security is also lagging as well, with a little under half (43%) of all respondents saying that their security practices in this area are either “early stage” or do not yet exist.

Those that have onboarded security automation and AI elements are the only group seeing massive savings: their average cost of data breach is $3.05 million lower. This particular study does not track average ransom demands, but refers to Sophos research that puts the most latest number at $812,000 globally.

The study also notes serious problems with incident response plans, especially troubling in an environment in which the average ransomware attack is now carried out in four days or less and the “time to ransom” has dropped to a matter of hours in some cases. 37% of respondents say that they do not test their incident response plans regularly. 62% say that they are understaffed to meet their cybersecurity needs, and these organizations tend to suffer over half a million more dollars in damages when they are breached.

Of course, cost of data breaches is not distributed evenly by geography or by industry type. Some are taking much bigger hits than others, reflecting trends established in prior reports. The health care industry is now absorbing a little over $10 million in damage per breach, with the average cost of data breach rising by $1 million from 2021. And companies in the United States face greater data breach costs than their counterparts around the world, at over $8 million per incident.

Shawn Surber, VP of Solutions Architecture and Strategy with Tanium, provides some insight into the unique struggles that the health care industry faces in implementing effective cybersecurity: “Healthcare continues to suffer the greatest cost of breaches but has among the lowest spend on cybersecurity of any industry, despite being deemed ‘critical infrastructure.’ The increased vulnerability of healthcare organizations to cyber threats can be traced to outdated IT systems, the lack of robust security controls, and insufficient IT staff, while valuable medical and health data— and the need to pay ransoms quickly to maintain access to that data— make healthcare targets popular and relatively easy to breach. Unlike other industries that can migrate data and sunset old systems, limited IT and security budgets at healthcare orgs make migration difficult and potentially expensive, particularly when an older system provides a small but unique function or houses data necessary for compliance or research, but still doesn’t make the cut to transition to a newer system. Hackers know these weaknesses and exploit them. Additionally, healthcare orgs haven’t sufficiently updated their security strategies and the tools that manufacturers, IT software vendors, and the FDA have made haven’t been robust enough to thwart the more sophisticated techniques of threat actors.”

Familiar incident types also lead the list of the causes of data breaches: compromised credentials (19%), followed by phishing (16%). Breaches initiated by these methods also tended to be a little more costly, at an average of $4.91 million per incident.

Global average cost of #databreach is now $4.35M, up 13% since 2020. Much of that are realized more than a year after the attack, and 60% of organizations are passing the costs on to consumers in the form of higher prices. #cybersecurity #respectdataClick to Tweet

Cutting the cost of data breach

Though the numbers are never as neat and clean as averages would indicate, it would appear that the cost of data breaches is cut dramatically for companies that implement solid automated “deep learning” cybersecurity tools, zero trust systems and regularly tested incident response plans. Mature cloud security programs are also a substantial cost saver.

Mon, 01 Aug 2022 10:00:00 -0500 Scott Ikeda en-US text/html https://www.cpomagazine.com/cyber-security/ibm-annual-cost-of-data-breach-report-2022-record-costs-usually-passed-on-to-consumers-long-breach-expenses-make-up-half-of-total-damage/
Killexams : IBM September 23rd Options Begin Trading No result found, try new keyword!Investors in International Business Machines Corp (Symbol: IBM) saw new options become available today, for the September 23rd expiration. At Stock Options Channel, our YieldBoost formula has ... Thu, 04 Aug 2022 03:39:00 -0500 text/html https://www.nasdaq.com/articles/ibm-september-23rd-options-begin-trading
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