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Killexams : IBM Provider reality - BingNews https://killexams.com/pass4sure/exam-detail/M9560-670 Search results Killexams : IBM Provider reality - BingNews https://killexams.com/pass4sure/exam-detail/M9560-670 https://killexams.com/exam_list/IBM Killexams : Has the cloud caught up with the mainframe?

Yes, you read that right. For much of the last couple of decades, it’s felt as if everyone has been talking about the impending demise of the mainframe, whilst simultaneously attempting to emulate as many as possible of its key operational characteristics.

Originally this emulation was via industry-standard servers, but in the last few years “the cloud” has taken up this challenge. It began with cloud computing promising the same level of scalability, flexibility and operational efficiency that mainframe systems have long provided, and on scalability going somewhat further. For a while these were more words than reality, but now cloud capabilities are (finally) getting close to what mainframe users have long taken for granted.

More recently, attention in cloud circles has turned to other – what we might regard as core – mainframe attributes such as security, privacy, resilience and failover. Whether you believe the marketing of cloud providers on this is up to you (as it is with any vendor marketing messages). But ensuring such things certainly requires very careful memorizing of the service level guarantees and contractual small print.

Today much of the focus of cloud services has switched to support for specialist workloads, and again, we see cloud following in the footsteps of the mainframe by using dedicated offload engines designed to optimise workload performance, and in many cases to minimise software licensing costs as well. But it’s always seemed as if cloud has been in catch-up mode, and the mainframe has remained in the lead. Which leads to the question, has the cloud now caught up?

Has the cloud caught up?

In many ways, the answer is “yes”, but this is a qualified yes. When it comes to scalability, throughput, operational efficiency, and arguably even resilience and failover, cloud has arguably caught up with the mainframe of the 1990s or early 2000s. But there are other factors to bear in mind as the mainframe has not stood still.

For example, it is fair to say that cloud providers have made great strides on security and privacy, but in reality the mainframe is still recognised as the gold standard, with security baked into every layer in the systems stack.

Then there are questions such as latency and data location. With the mainframe, there is no doubt where the data resides and who can access it. Managing these details and the associated operational policies has been part of the platform for over fifty years. When it comes to latency, the mainframe is probably sitting very close to the data you are working with, making latency as low as possible in terms of system response times, something reinforced when considering the system’s very powerful processors and sophisticated, mature partitioning capabilities.

And the mainframe environment is getting even stronger when you look at the announcements made at the accurate launch of the IBM z16. These include quantum-safe cryptography to protect against the development of Quantum computers able to decrypt current encryption standards, on-chip AI acceleration to boost ML and AI execution, and flexible capacity combined with on-demand workload transfer across multiple locations to further reduce the chance of service disruption.

But there are places where things are arguably closer, one of which is in the area of workload optimisation, although the two environments are developing in different ways. For example, the mainframe strives to deliver a consistent environment that can handle a wide range of workloads, but managed through the same set of frameworks and tools. The cloud, on the other hand, allows you to spin up dedicated specialised environments, e.g. for AI or analytics.

What about developers?

Which leaves the question of where is “the cloud” ahead of the mainframe? The obvious place to start is in terms of the diverse geographic distribution of the major public clouds which spread across the globe with huge resources that no mainframe or mainframe cluster can match that. But this advantage is no longer quite so huge given that IBM will shortly be making “mainframe as a service” available from its IBM Cloud data centres around the world.

Not quite as a corollary, it is also fair to say that cloud was ahead for a while with regard to modern software delivery methods such as DevOps and the implementation of various agile delivery solutions. But we must recognise that it hasn’t taken long for the gap to close because the fundamental principles underlying things like DevOps, container, microservices, APIs, etc. have been intrinsic to the mainframe environment for decades, indeed pretty much since its beginning. In addition, IBM and the other software vendors in the mainframe ecosystem, such as Broadcom and BMC, have developed their offerings to such a degree that today there’s almost absolute parity.

In essence today’s mainframe environment is one where the latest generation of developers should not feel out of place. It uses the same standards-based, open tools they handle daily. And with the mainframe-as-a-service soon to be available, devs will be able to build code wherever they like and run it on the mainframe with a few clicks and no need to build a complex environment.

This is good news for the mainframe, but having the technological capabilities is less than half of the challenge. What’s really needed is for the mainframe to catch the eye of modern developers. IBM needs to ensure that developers understand that the mainframe is not a new and alien place, but instead is ready for them to exploit using the tools they are already comfortable with.

Some final thoughts

When you stand back and consider the modern mainframe, particularly the LinuxOne version and the new Z16, it’s pretty clear any claims of the mainframe being out of date or legacy stem from a fundamental lack of awareness. Indeed, the mainframe has continued to lead the way in many critical areas, delivering IT cost-effectively and securely at scale. The bottom line is, it’s not that the mainframe has been trying to keep up with industry developments, it’s that the mainframe is still very much leading the way.

Wed, 27 Jul 2022 18:48:00 -0500 en text/html https://www.computerweekly.com/blog/Write-side-up-by-Freeform-Dynamics/Has-the-cloud-caught-up-with-the-mainframe
Killexams : IBM Watson Health’s Dramatic Expansion

Cognitive computing powerhouse IBM Watson Health is adding novel offerings and entering new agreements in an array of healthcare arenas.

This week, IBM Watson Health announced a slew of solutions and partnerships aimed at improving healthcare decision making and delivery. The announcement, which was released during a major gathering for the health IT community--the annual Healthcare Information and Management Systems Society (HIMSS) conference--covers offerings focused on value-based care, medical imaging, and population health.

"Healthcare organizations are operating in a complex and fluctuating business environment, one in which the insights they need to succeed can be hidden amidst an avalanche of disparate and siloed data," Deborah DiSanzo, general manager of IBM Watson Health, said in a press release. She added, "Watson Health's extensive industry expertise informs how we deploy data, cloud, and cognitive computing to help clients make more informed decisions today and understand precisely what their organization should address to achieve their quality care goals and outcomes in a value-based care system."

Among the new products is the IBM Watson Health Value-Based Care solutions. Applications set to be released later in 2017 include solutions that help track and forecast value-based care performance indicators, monitor patient engagement, customize analytics, and tools that can help pinpoint areas of high cost.

IBM also unveiled IBM Watson Imaging Clinical Review, choosing to focus first on aortic stenosis. The offering is designed to alert clinicians to patients who may have aortic stenosis but haven't been identified as a candidate for cardiovascular follow up care, according to a press release. The platform is expected to eventually be expanded to nine more cardiovascular diseases, including cardiomyopathy, deep vein thrombosis, heart attacks, among others.

"Out of the gate, this type of cognitive tool may provide big benefits to hospitals and doctors, providing insights we don't currently have and doing so in a way that fits how we work," Ricard Cury, MD, director of cardiac imaging at Baptist Health of South Florida and chairman and CEO of Radiology Associates of South Florida, said in the release.

Cury's institutions are among the new members of the Watson Health medical imaging collaborative, focused on optimizing the applications of medical imaging. IBM announced in the imaging release that there are now 24 organizations in the collaborative.

Another agreement announced the same day will bring the more than 2000 healthcare providers of the Central New York Care Collaborative (CNYCC) onto a population health platform run on the Watson Health Cloud. The effort aims to cut Medicaid costs and preventable emergency room visits, as well as cut hospital readmissions by 25%, according to a news release.

"Central New York is leading the way for a national movement toward an effective, scalabe patient-centric approach to population health management and value-based care," Anil Jain, MD, FACP, vice president and chief health informatics officer, Value-Based Care at IBM Watson Health, said in the release.

IBM Watson Health also signed on to an agreement with a healthcare organization, Atrius Health. The collaboration will center around more information that can be used to facilitate shared decision making and Strengthen delivery of patient care in the eastern Massachusetts region covered by the healthcare organization.

"Atrius Health is committed to increasing the joy in the practice of medicine for our clinicians and staff," Steve Strongwater, MD, president and CEO of Atrius Health, said in a news release. "Working with IBM Watson Health offers a unique opportunity to help our Atrius Health clinicians make greater use of the mountains of digitalized information generated daily through our care of patients."

Of course, there's more to these new collaborations than the exciting potential of the technology. Forbes reported recently that a partnership between IBM Watson and MD Anderson has been paused, highlighting the important role that project management and finances--in addition to the technology--play in the success of such a joint effort.

IBM Watson Health already has an impressive list of collaborations under its belt, including with Quest Diagnostics, Medtronic, Johnson & Johnson, and Memorial Sloan Kettering. More partnerships seem likely, as IBM also debuted its Watson Health Consulting Services unit and new features for its Watson Platform for Health Cloud this week. These offerings echo IBM Watson Health's other priorities, with a continued focus on quicker, better insights, improved patient care, and value-based care.

"The launch of the new Watson Health Consulting Services unit is about helping our clients transform healthcare, in quality, improved access, patient satisfaction and lower cost in the cognitive healthcare era," Matt Porta, vice president and partner for IBM Watson Health Consulting Group, said in the release

[Image courtesy of FRANKY242/FREEDIGITALPHOTOS.NET]

Tue, 26 Jul 2022 12:00:00 -0500 en text/html https://www.mddionline.com/digital-health/ibm-watson-healths-dramatic-expansion
Killexams : IBM Bids Farewell to Watson Health Assets

IBM shook up the digital health space Friday with the news that it is selling its healthcare data and analytics assets, currently part of the Watson Health business, to an investment firm. The sale price is reportedly more than $1 billion, although the companies are not officially disclosing the financial terms.

There are a lot of interesting factors to consider as we unpack this news, although some thought leaders say the divestiture did not come as a surprise.

“The Watson Health sale has been anticipated for quite some time. IBM was clearly not gaining much traction in the healthcare market while others such as Google and Microsoft have pulled ahead. Even Oracle has made a big splash in healthcare with its accurate announcement to acquire Cerner," said Paddy Padmanabhan, founder and CEO of Damo Consulting, a growth strategy and digital transformation advisory firm that works with healthcare and technology companies.

IBM was one of the first big tech companies to dive into healthcare with its well-known Watson Health supercomputer known for defeating the greatest champions on “Jeopardy!" The platform created a lot of buzz back in 2011, and many people had high hopes for the platform's potential applications in healthcare. In accurate years, however, that buzz has significantly died down.

"In the current competitive landscape, IBM would not be considered a significant player in healthcare. Selling off the data assets essentially means an end to the Watson Health experiment; however, it may allow IBM as an organization to refocus and develop a new approach to healthcare,” Padmanabhan said.

Assuming there are no regulatory snags, the deal is expected to close in the second quarter of this year.

“Today’s agreement with Francisco Partners is a clear next step as IBM becomes even more focused on our platform-based hybrid cloud and AI strategy,” said Tom Rosamilia, senior vice president of IBM Software. “IBM remains committed to Watson, our broader AI business, and to the clients and partners we support in healthcare IT. Through this transaction, Francisco Partners acquires data and analytics assets that will benefit from the enhanced investment and expertise of a healthcare industry focused portfolio.”

The agreement calls for the current management team to continue in similar roles in the new standalone company, serving existing clients in life sciences, provider, imaging, payer and employer, and government health and human services sectors.

“We have followed IBM’s journey in healthcare data and analytics for a number of years and have a deep appreciation for its portfolio of innovative healthcare products,” said Ezra Perlman, co-president at Francisco Partners. “IBM built a market-leading team and provides its customers with mission critical products and outstanding service.”

In 2016 IBM doubled the size of its Watson Health business through the $2.6 billion acquisition of Truven Health Analytics. Truven offers healthcare data services targeted at employers, hospitals, and drug companies, and makes software that can parse through millions of patient records. Truven's main offices are in Ann Arbor, MI, Chicago, and Denver. At the time of the acquisition, Truven had around 2,500 employees.

The Truven deal followed other major healthcare acquisitions in the company, including Cleveland-based Explorys, Dallas-based Phytel, and Chicago-based Merge Healthcare. The company paid about $1 billion for Merge.

IBM said the assets acquired by Francisco Partners include extensive and diverse data sets and products, including Health Insights, MarketScan, Clinical Development, Social Program Management, Micromedex, and imaging software offerings.

Padmanabhan said it will be interesting to see how the new owners are able to leverage those data assets.

“IBM’s decision to sell its data assets is an indication that it’s not just enough to have the data. Applying advanced analytics on the data to generate insights that can make a difference in real-world applications is where the true value lies. IBM had several missteps early on, especially in cancer care applications, that created significant setbacks for the business that they could not recover from.

In 2018, the Watson Health business went through a round of layoffs. The company declined to tell MD+DI at the time how many of employees were let go other than to say it was a "small percentage" of the global business, but online commenters on TheLayoff.com and Watching IBM, along with multiple news reports citing unnamed sources from within the organization painted a different picture of the situation. One Dallas-based commenter on TheLayoff.com said that "we all knew it was coming but nobody expected it to be this fast and rampant," while another commenter estimated that 80% of that same Dallas-based office was let go.

Is healthcare just too hard for big tech?

While we have seen a trend in accurate years with big tech firms showing an interest in healthcare, some of those companies are finding those efforts to be easier said than done. 
 
“IBM’s decision to sell the Watson Health assets is another instance of a big tech firm acknowledging the challenges of the healthcare space. Last year, Google and Apple had significant setbacks, and Amazon has acknowledged challenges in scaling its Amazon Care business," Padmanabhan said. "In IBM’s case, they have missed out on the cloud opportunity and have lagged behind peers in emerging technology areas such as voice. While IBM’s challenges with Watson Health may have been unique to the organization, the fact is that big tech firms have multiple irons in the fire at any time, and for some healthcare may just be too hard.”

Padmanabhan does not think, however, that IBM's decision to sell the Watson Health assets is an indictment of the promise of AI in healthcare.

"Our research indicates AI was one of the top technology investments for health systems in 2021," he said. "Sure, there are challenges such as data quality and bias in the application of AI in the healthcare context, but by and large there has been progress with AI in healthcare. The emergence of other players, notably Google with its Mayo Partnership, or Microsoft with its partnership with healthcare industry consortium Truveta are strong indicators of progress."
 
Padmanabhan is co-author with Edward W. Marx, of Healthcare Digital Transformation: How Consumerism, Technology and Pandemic are Accelerating the Future (2020), and the host of The Big Unlock, a podcast focusing on healthcare digital transformation.

Tue, 26 Jul 2022 12:00:00 -0500 en text/html https://www.mddionline.com/artificial-intelligence/ibm-bids-farewell-watson-health-assets
Killexams : Datacenter Deployment Spending Market to See Major Growth by 2028 | Cisco Systems, Digital Reality, NTT

2022-2030 World Datacenter Deployment Spending Market Report Professional Analysis 2022 is latest research study released by HTF MI evaluating the market risk side analysis, highlighting opportunities and leveraged with strategic and tactical decision-making support. The report provides information on market trends and development, growth drivers, technologies, and the changing investment structure of the Datacenter Deployment Spending Market. Some of the key players profiled in the study are Cisco Systems, AT&T, Equinix, HP Company, NTT Communication Corporation, IBM, Digital Reality, Google Inc & Microsoft.

Get free access to demo report @ https://www.htfmarketreport.com/sample-report/3589054-2020-2025-global-datacenter-deployment-spending-market-report-production-and-consumption-professional-analysis

Datacenter Deployment Spending Market Overview:

The study provides comprehensive outlook vital to keep market knowledge up to date segmented by Service Provider & Enterprise, , Localized, Mid-Tier, High-End & Mega Data Centers and 18+ countries across the globe along with insights on emerging & major players. If you want to analyse different companies involved in the Datacenter Deployment Spending industry according to your targeted objective or geography we offer customization according to requirements.

Datacenter Deployment Spending Market: Demand Analysis & Opportunity Outlook 2026

Datacenter Deployment Spending research study defines market size of various segments & countries by historical years and forecast the values for next 6 years. The report is assembled to comprise qualitative and quantitative elements of Datacenter Deployment Spending industry including: market share, market size (value and volume 2017-2021, and forecast to 2027) that admires each country concerned in the competitive marketplace. Further, the study also caters and provides in-depth statistics about the crucial elements of Datacenter Deployment Spending which includes drivers & restraining factors that helps estimate future growth outlook of the market.

The segments and sub-section of Datacenter Deployment Spending market is shown below:

The Study is segmented by following Product/Service Type: , Localized, Mid-Tier, High-End & Mega Data Centers

Major applications/end-users industry are as follows: Service Provider & Enterprise

Some of the key players involved in the Market are: Cisco Systems, AT&T, Equinix, HP Company, NTT Communication Corporation, IBM, Digital Reality, Google Inc & Microsoft

Enquire for customization in Report @ https://www.htfmarketreport.com/enquiry-before-buy/3589054-2020-2025-global-datacenter-deployment-spending-market-report-production-and-consumption-professional-analysis

Important years considered in the Datacenter Deployment Spending study:
Historical year – 2017-2021; Base year – 2021; Forecast period** – 2022 to 2027 [** unless otherwise stated]

If opting for the Global version of Datacenter Deployment Spending Market; then below country analysis would be included:
• North America (USA, Canada and Mexico)
• Europe (Germany, France, the United Kingdom, Netherlands, Italy, Nordic Nations, Spain, Switzerland and Rest of Europe)
• Asia-Pacific (China, Japan, Australia, New Zealand, South Korea, India, Southeast Asia and Rest of APAC)
• South America (Brazil, Argentina, Chile, Colombia, Rest of countries etc.)
• Middle East and Africa (Saudi Arabia, United Arab Emirates, Israel, Egypt, Turkey, Nigeria, South Africa, Rest of MEA)

Buy Datacenter Deployment Spending research report @ https://www.htfmarketreport.com/buy-now?format=1&report=3589054

Key Questions Answered with this Study
1) What makes Datacenter Deployment Spending Market feasible for long term investment?
2) Know value chain areas where players can create value?
3) Teritorry that may see steep rise in CAGR & Y-O-Y growth?
4) What geographic region would have better demand for product/services?
5) What opportunity emerging territory would offer to established and new entrants in Datacenter Deployment Spending market?
6) Risk side analysis connected with service providers?
7) How influencing factors driving the demand of Datacenter Deployment Spending in next few years?
8) What is the impact analysis of various factors in the Datacenter Deployment Spending market growth?
9) What strategies of big players help them acquire share in mature market?
10) How Technology and Customer-Centric Innovation is bringing big Change in Datacenter Deployment Spending Market?

Browse Executive Summary and Complete Table of Content @ https://www.htfmarketreport.com/reports/3589054-2020-2025-global-datacenter-deployment-spending-market-report-production-and-consumption-professional-analysis

There are 15 Chapters to display the Datacenter Deployment Spending Market
Chapter 1, Overview to describe Definition, Specifications and Classification of Datacenter Deployment Spending market, Applications [Service Provider & Enterprise], Market Segment by Types , Localized, Mid-Tier, High-End & Mega Data Centers;
Chapter 2, objective of the study.
Chapter 3, Research methodology, measures, assumptions and analytical tools
Chapter 4 and 5, Datacenter Deployment Spending Market Trend Analysis, Drivers, Challenges by consumer behaviour, Marketing Channels, Value Chain Analysis
Chapter 6 and 7, to show the Datacenter Deployment Spending Market Analysis, segmentation analysis, characteristics;
Chapter 8 and 9, to show Five forces (bargaining Power of buyers/suppliers), Threats to new entrants and market condition;
Chapter 10 and 11, to show analysis by regional segmentation [North America Country (United States, Canada), South America (Brazil, Argentina, Chile, Rest of South America), Asia-Pacific (China, Japan, India, South Korea, Australia, Singapore, Malaysia, Indonesia, Thailand, Vietnam, Others), Europe (Germany, United Kingdom, France, Italy, Spain, Switzerland, BeNeLux, Nordics, Baltic Nation, Rest of Europe), Rest of World [United Arab Emirates, Saudi Arabia (KSA), South Africa, Turkey, Israel, Others] & Competition Analysis], comparison, leading countries and opportunities; Customer Behaviour
Chapter 12, to identify major decision framework accumulated through Industry experts and strategic decision makers;
Chapter 13 and 14, about competition landscape (classification and Market Ranking)
Chapter 15, deals with Datacenter Deployment Spending Market sales channel, research findings and conclusion, appendix and data source.

Thanks for showing interest in Datacenter Deployment Spending Industry Research Publication; you can also get individual chapter wise section or region wise report version like North America, LATAM, United States, GCC, Southeast Asia, Europe, APAC, United Kingdom, India or China etc

About Author:
HTF Market Intelligence consulting is uniquely positioned empower and inspire with research and consulting services to empower businesses with growth strategies, by offering services with extraordinary depth and breadth of thought leadership, research, tools, events and experience that assist in decision making.

Contact US:
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Wed, 27 Jul 2022 21:20:00 -0500 Newsmantraa en-US text/html https://www.digitaljournal.com/pr/datacenter-deployment-spending-market-to-see-major-growth-by-2028-cisco-systems-digital-reality-ntt
Killexams : Self Service Bi Market Size, Share, Emerging Trends, Product Type, Future Growth, Revenue Analysis, Demand Forecast, Leading Key Players 2021-2030

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

Jul 27, 2022 (AmericaNewsHour) -- Key Companies Covered in the Self Service Bi Market Research Report Are Microsoft Corporation, IBM, Oracle Corporation, SAP SE, SAS, and other key market players.           

CRIFAX added a report on 'Global Self Service Bi Market, 2021-2030' to its database of market research collaterals consisting of overall market scenario with prevalent and future growth prospects, among other growth strategies used by key players to stay ahead of the game. Additionally, accurate trends, mergers and acquisitions, region-wise growth analysis along with challenges that are affecting the growth of the market are also stated in the report.

Access Full Report, here:- https://www.crifax.com/sample-request-1002304

The increasing number of innovations and advancements in technology globally has provided various business opportunities and is predicted to drive the growth of the market over the forecast period (2021-2030). The introduction of 5G accompanied by other technologies such as digital reality comprising of Augmented Reality (AR), Virtual Reality (VR) and Mixed Reality (MR) or the fast growing Internet of Things (IoT) are setting new trends for the continuously evolving IT & Telecom industry. The total number of cellular IoT connections are anticipated to reach 3.4 billion by 2023. The global Self Service Bi market is estimated to attain noticeable growth over the next 6-7 years, owing to digital transformation taking place across several services such as R&D & Testing, Information Technology (IT), Telecom and Internet. The Information & Communication Technology (ICT) goods exports recorded a growth of 11.51% in 2017 as against 11.20% in 2016. Through 5G connection, about one billion enhanced mobile broadband subscriptions are anticipated to be covered by 2023.

This Report covers about :

  • Historical data
  • Revenue forecasts, CAGR and growth rates up to 2030
  • Industry Analysis
  • Competitive Analysis
  • Key geographic growth data
  • In-depth profiling of Key Player's Companies 

Access Full Report, here:- https://www.crifax.com/sample-request-1002304

The global Self Service Bi market is anticipated to observe noteworthy growth in the forthcoming years, owing to increasing investments by ICT and Telecom industries in research and development activities associated with digital transformation. The United States of America is anticipated to remain as the largest telecom market and Asia Pacific is anticipated to attain highest market share in telecom sector. World Development Indicators (WDI) has placed China at the top of the rankings among the various nations according to Purchasing Power Parity (PPP), which holds 19.38% of the world's GDP as of 2018. According to Canadian Radio-Television and Telecommunications Commission (CRTC), the Canadian telecom industry achieved a growth rate of 3.2% from 2016-2017 generating revenues of USD 38.79 billion in 2017, on account of improvement in data usage through both fixed internet as well as mobile services. Fixed internet services had an average growth rate of 7.0% by attaining revenues of USD 8.87 billion between 2016 and 2017, whereas mobile segment achieved a growth rate of 5.4% to garner revenues of USD 19.9 billion in 2017. All these factors are anticipated to drive the growth of the market over the forecast period.

To provide better understanding of internal and external marketing factors, the multi-dimensional analytical tools such as SWOT and PESTEL analysis have been implemented in the global Self Service Bi market report. Moreover, the report consists of market segmentation, CAGR (Compound Annual Growth Rate), BPS analysis, Y-o-Y growth (%), Porter's five force model, absolute $ opportunity and anticipated cost structure of the market.

About CRIFAX

CRIFAX is driven by integrity and commitment to its clients and provides cutting-edge marketing research and consulting solutions with a step-by-step guide to accomplish their business prospects. With the help of our industry experts having hands on experience in their respective domains, we make sure that our industry enthusiasts understand all the business aspects relating to their projects, which further improves the consumer base and the size of their organization. We offer wide range of unique marketing research solutions ranging from customized and syndicated research reports to consulting services, out of which, we update our syndicated research reports annually to make sure that they are modified according to the latest and ever-changing technology and industry insights. This has helped us to carve a niche in delivering 'distinctive business services' that enhanced our global clients' trust in our insights and helped us to outpace our competitors as well.

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The post Self Service Bi Market Size, Share, Emerging Trends, Product Type, Future Growth, Revenue Analysis, Demand Forecast, Leading Key Players 2021-2030 appeared first on America News Hour.

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Wed, 27 Jul 2022 02:38:00 -0500 en-US text/html https://www.marketwatch.com/press-release/self-service-bi-market-size-share-emerging-trends-product-type-future-growth-revenue-analysis-demand-forecast-leading-key-players-2021-2030-2022-07-27
Killexams : Digital Realty: 4% Dividend With Huge Data Center Growth
Data Center Female e-Business Enrepreneur and Male IT Specialist talk, Use Laptop. Two Information Technology Engineers work on Bridge Big Cloud Computing Server Farm.

gorodenkoff

The pandemic has caused an acceleration in the adoption of Digital technology. It made digital services a "must have" and not just an optional extra. From Mobile Phones to Ecommerce, Social Media to Video Conferencing, this technology has become part of our everyday life. When we use digital technology, it just "works" but we don't think about the gigabytes of data flowing from Data Center to Data Center all over the world.

However, the innovation doesn't stop there from 5G to AI, Internet of Things (IoT) to the Cloud, all these services require even more infrastructure to function at scale. Picking the winning AI or 5G company can be a challenge, and thus I prefer to invest into the "backbone" digital infrastructure which supports these players. Think of this like a "Digital Toll Road" collecting rents and dishing you out dividends, while the tech companies battle it out for market share. "Digital Transformation" is also a key term which has become popular. Enterprises are realising their legacy IT infrastructure is costly, complicated and not flexible, thus many are moving to the "cloud" which is a fancy word for a Data Center.

"Looking toward 2023, most companies will need to build new digital businesses to stay economically viable." - McKinsey Global Survey, May 2021

The global data center market size was worth $216 billion in 2021 and is predicted to reach $288 billion by 2027, growing at a CAGR of 4.95%.

Thus, in this report, I'm going to dive into Digital Realty Trust (NYSE:DLR), a best-in-class owner of Data Centers with over 290 facilities globally. The company acts as the backbone infrastructure for many larger technology providers, from Facebook to Oracle. The stock price has plummeted 30% from the highs in December 2021 and is now trading at the March 2020 lows. From my valuation, the stock is undervalued relative to two large competitors in the industry. Let's dive into the Business Model, Financials and Valuation for the juicy details.

DLR stock Chart
Data by YCharts

Business Model

Digital Realty Trust serves a vast customer base of over 4,000 customers, which is diversified across multiple industries from Social Media to IT, Finance and Telecoms. Its largest customers include giants such as; Facebook, Oracle, Verizon, IBM, JPMorgan, LinkedIn, AT&T and many more. These established customers demand best-in-class speed, redundancy and security.

Digital Realty overview

Digital Realty (Investor Report June 2022)

The company's facilities are well diversified globally across 25 countries and 50 metro areas. With 58% of its facilities in North America, 27% in EMEA, 10% in APC and 5% in Latin America. This global and customer diversification should help to ensure stable cash flows, as when one country or industry is going through a recession, others will be thriving.

Global Diversification

Global Diversification (Investor presentation 2022)

Digital Realty also has a variety of equipment offerings which can appeal to various customers at different price points and stages of their digital transformation journey. From the Network Access Nodes to Aggregation and vast server farms for Hyper-scalers.

Digital Realty - connected campus

Technical details (Investor presentation 2022)

An example of a customer use case can be seen on the animation below. Here a "Self Service" option enables Coverage, Connectivity and Capacity to be dynamically controlled. While its "Any To Any" Interconnection enables low latency data transfer between multiple services.

Digital Realty - Platform Digital 2.0

Platform Digital (Investor Presentation 2022)

The Data Hub is another high growth area, as legacy companies historically have an issue with "Siloed Data". Companies are generating more "big data" than ever, but it's usually stuck in various departments and not utilised. However, by moving data services to the cloud, it can be aggregated and analyzed with various analytics and machine learning processes more easily. For instance, Hewlett Packard Enterprises (HPE) and its GreenLake technology have recently partnered with Digital Realty to help companies with digital transformation and data aggregation.

Digital Realty Data Hub

Data Hub (Investor presentation June 2022)

To expand its portfolio, Digital Realty is growing via acquisition and has made a vast number of global investments over the past few years. A few years back I wrote a post on the "consolidation" of the data center industry and the "land grab" tactics companies are using, and now it seems these are playing out.

Digital Realty Acquisitions

Digital Realty Acquisitions (Investor report 2022)

Growing Financials

Digital Realty has experienced strong growth in bookings over the past few years, with a major upwards trend seen since the pandemic, which acted as a catalyst for companies to "Digitally transform".

Digital Realty Bookings

Bookings (Investor presentation 2022)

Revenue saw a sharp uptick at the end of 2021 and for the first quarter of 2022, it popped to $1.19 billion, up 11% year over year.

Digital Realty revenue estimates
Data by YCharts

Funds from Operations per share (FFO) saw a slight down tick between the high of $1.78 in Q221 and $1.54 in Q321. However, since then it is starting to recover and was up 6.6% year over year to $1.60 for Q122. Management is expected a further uptick for the rest of 2022, due to record backlog of $391 million in the first quarter.

Digital Realty FFO per share
Data by YCharts

Digital Reality has had a strong retention rate of ~78% historically, which is fantastic as it means the tenants are finding immense value in the service. Transforming legacy IT infrastructure to the cloud is a technical, time-consuming and a costly process. Thus, I believe once installed and set up with a cloud provider, the likelihood of moving providers (even if another is slightly cheaper is rare). Thus, immense "stickiness" is seen in the industry, as you can see with the high retention rate. There has been a slight dip in the trailing 12-month rate, but it does look to be recovering.

Digital Realty Retention

Retention (Earnings Q122)

Digital Realty has staggered lease expiration dates, with 17.8% in 2022 and 18.3% in 2023, thus I expect some volatility in the next two years. However, the rest of the lease expiration dates are well diversified across many different years ahead, thus this should ensure stable operations.

Digital Realty Lease Expirations

Lease Expirations (Investor presentation)

The Enterprise value of Digital Realty has increased by 47% since 2018, from $35.5 billion to $52.1 billion, which is a testament to the company's acquisition strategy. The top 20 tenant concentration has also decreased by 430 bps to 49%, which is a positive sign as it means more diversification.

Digital Realty financials

Digital Realty (Investor Presentation June 2022)

REITs are well-known for having a large amount of debt, and Digital Realty is no different, with $14.4 billion in long-term debt. The good news is the Net Debt/Adjusted EBITDA ratio has decreased to 5.9x from 6.2x in 2018, which is a positive sign.

The Dividend Yield (forward) is steady at 4%. Don't be thinking by the very high 97% payout ratio, as by law all REITs must pay out at least 90% of earnings.

Digital Realty Dividend Yield

Dividend Yield (Investor presentation)

Valuation

In order to value this REIT, I will compare the Price to Funds from operations across a few data center REITs in the industry. As you can see from the chart I created below, Digital Realty is the cheapest data center REIT of the three, with a P/FFO = 17.7. By comparison, Equinix (EQIX) has a P/FFO = 35 and CyrusOne (CONE) has a P/FFO = 21.8.

Data Center REITs valuation

Data Center REIT Valuation (created by author Ben at Motivation 2 Invest)

As a general comparison, Digital Realty trades at an average valuation relative to the entire real estate sector. However, I prefer to use the first valuation as the entire real estate sector includes Commercial office buildings, which are trading at cheap multiples.

Digital Realty Valuation

Digital Realty Valuation (Seeking Alpha)

Risks

Jim Chanos Short Sell Thesis

Infamous short seller Jim Chanos is raising capital to bet against data center REITs. In an interview with the Financial Times on June 29th, Chanos believes the value of the cloud is going to the hyperscalers (Amazon Web Services, Microsoft Azure, Google Cloud) and they will build their own. Thus, he believes the legacy data centers will not be utilized as much. This is an interesting point, but one in which Wells Fargo Analyst, Eric Luebchow, calls "misguided."

He makes the point that hyperscalers are struggling to build due to long lead times for equipment and power. He notes that the big cloud providers "outsource up to 60% of their capacity demands." Thus, the short selling thesis by Chanos is contrary to the facts on the ground. However, it is still a risk to be aware of.

Note: Jim Chanos Risk from my accurate post on DigitalBridge.

Recession/IT spending cutbacks

Analysts are predicting a "shallow but long" recession, which is forecasted to start in the fourth quarter of 2022. Enterprises may decide to cut back or delay IT spending due to rising input costs and increasing uncertainty. This could mean some volatility is expected within the next year.

Final Thoughts

Digital Realty is a tremendous REIT which provides the backbone infrastructure for many large-scale cloud providers. The REIT's high Funds from Operations and industry diversified Data Centers offer both quality and stability. The stock is undervalued relative to two large Data Center REITs and thus looks to be a great investment for the long term.

Sun, 17 Jul 2022 00:18:00 -0500 en text/html https://seekingalpha.com/article/4523832-digital-realty-4-percent-dividend-with-huge-data-center-growth
Killexams : Home Automation Sensors Market Size, 2021 Segmentation, Demand, Growth, Trend, Opportunity and Forecast to 2030

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

Jul 28, 2022 (AmericaNewsHour) -- Key Companies Covered in the Home Automation Sensors Market Research Report Are Sony Corp, Telefonaktiebolaget LM Ericsson, Honeywell International, IBM, HTC Corporation, Bosch-Sensortec (Robert Bosch GmbH), Intel Corporation, Invensense, Samsung Electronics, and other key market players. 

CRIFAX added a report on 'Global Home Automation Sensors Market, 2021-2030' to its database of market research collaterals consisting of overall market scenario with prevalent and future growth prospects, among other growth strategies used by key players to stay ahead of the game. Additionally, accurate trends, mergers and acquisitions, region-wise growth analysis along with challenges that are affecting the growth of the market are also stated in the report.

Access Full Report, here:- https://www.crifax.com/sample-request-1002124

The increasing number of innovations and advancements in technology globally has provided various business opportunities and is predicted to drive the growth of the market over the forecast period (2021-2030). The introduction of 5G accompanied by other technologies such as digital reality comprising of Augmented Reality (AR), Virtual Reality (VR) and Mixed Reality (MR) or the fast growing Internet of Things (IoT) are setting new trends for the continuously evolving IT & Telecom industry. The total number of cellular IoT connections are anticipated to reach 3.4 billion by 2023. The global Home Automation Sensors market is estimated to attain noticeable growth over the next 6-7 years, owing to digital transformation taking place across several services such as R&D & Testing, Information Technology (IT), Telecom and Internet. The Information & Communication Technology (ICT) goods exports recorded a growth of 11.51% in 2017 as against 11.20% in 2016. Through 5G connection, about one billion enhanced mobile broadband subscriptions are anticipated to be covered by 2023.

This Report covers about :

  • Historical data
  • Revenue forecasts, CAGR and growth rates up to 2030
  • Industry Analysis
  • Competitive Analysis
  • Key geographic growth data
  • In-depth profiling of Key Player's Companies 

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The global Home Automation Sensors market is anticipated to observe noteworthy growth in the forthcoming years, owing to increasing investments by ICT and Telecom industries in research and development activities associated with digital transformation. The United States of America is anticipated to remain as the largest telecom market and Asia Pacific is anticipated to attain highest market share in telecom sector. World Development Indicators (WDI) has placed China at the top of the rankings among the various nations according to Purchasing Power Parity (PPP), which holds 19.38% of the world's GDP as of 2018. According to Canadian Radio-Television and Telecommunications Commission (CRTC), the Canadian telecom industry achieved a growth rate of 3.2% from 2016-2017 generating revenues of USD 38.79 billion in 2017, on account of improvement in data usage through both fixed internet as well as mobile services. Fixed internet services had an average growth rate of 7.0% by attaining revenues of USD 8.87 billion between 2016 and 2017, whereas mobile segment achieved a growth rate of 5.4% to garner revenues of USD 19.9 billion in 2017. All these factors are anticipated to drive the growth of the market over the forecast period.

To provide better understanding of internal and external marketing factors, the multi-dimensional analytical tools such as SWOT and PESTEL analysis have been implemented in the global Home Automation Sensors market report. Moreover, the report consists of market segmentation, CAGR (Compound Annual Growth Rate), BPS analysis, Y-o-Y growth (%), Porter's five force model, absolute $ opportunity and anticipated cost structure of the market.

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Killexams : Datacenter Deployment Spending Market Business Strategies, Industry Share, Size 2022 To 2030 | By -Microsoft, IBM, Google Inc

(MENAFN- Ameliorate Digital Consultancy)

New Jersey, United States- Research experts have examined societal developments, government initiatives, the political climate, and advertising that may be likely to stimulate international growth in the Datacenter Deployment Spending market. Definitions, characterizations, packaging, a market overview, specifications, manufacturing techniques, price structures, raw materials, and so on have all been included in the text straight away.

It examined the world's basic financial difficulties at the time, including, among other things, object value, benefit, limit, supply, demand, and market improvement value and forecast. SWOT analysis and a practicality evaluation of hypotheses were the examiner's final two brand-new tasks. The Datacenter Deployment Spending market report is expertly written, integrating quantitative data that is appropriate to the market with thought-provoking qualitative observations and analysis from market experts and consultants.

Receive the demo Report of Datacenter Deployment Spending Market 2022 to 2030:

The worldwide Datacenter Deployment Spending market is expected to grow at a booming CAGR of 2022-2030, rising from USD billion in 2021 to USD billion in 2030. It also shows the importance of the Datacenter Deployment Spending market main players in the sector, including their business overviews, financial summaries, and SWOT assessments.

Datacenter Deployment Spending Market Segmentation & Coverage:

Datacenter Deployment Spending Market segment by Type: 
High-end, Mid-tier, Localized, Mega

Datacenter Deployment Spending Market segment by Application: 
Service Provider, Enterprise, Other

The years examined in this study are the following to estimate the Datacenter Deployment Spending market size:

History Year: 2015-2019
Base Year: 2021
Estimated Year: 2022
Forecast Year: 2022 to 2030

Cumulative Impact of COVID-19 on Market:

These businesses are assisting the market is changing in response to the epidemic. The leading companies in the global Datacenter Deployment Spending market are very important. Important players responsible for setting market developments include. The research approach adopted, together with relevant concerns and approved research resources, are all mentioned in the research document.

Get a demo Copy of the Datacenter Deployment Spending Market Report:

Regional Analysis:

The global Datacenter Deployment Spending market studies were carried out with excellent care in order to provide a first-rate record. Several of the major worldwide regions/geographical regions covered in the market studies include North America, the Middle East, and Africa, Europe, and Asia-Pacific.

The Key companies profiled in the Datacenter Deployment Spending Market:

The study examines the Datacenter Deployment Spending market's competitive landscape and includes data on important suppliers, including Microsoft, IBM, Google Inc, Digital Reality, Cisco Systems, Equinix, AT&T, NTT Communication Corporation, HP Company ,& Others

Table of Contents:

List of Data Sources:
Chapter 2. Executive Summary
Chapter 3. Industry Outlook
3.1. Datacenter Deployment Spending Global Market segmentation
3.2. Datacenter Deployment Spending Global Market size and growth prospects, 2015 – 2026
3.3. Datacenter Deployment Spending Global Market Value Chain Analysis
3.3.1. Vendor landscape
3.4. Regulatory Framework
3.5. Market Dynamics
3.5.1. Market Driver Analysis
3.5.2. Market Restraint Analysis
3.6. Porter's Analysis
3.6.1. Threat of New Entrants
3.6.2. Bargaining Power of Buyers
3.6.3. Bargaining Power of Buyers
3.6.4. Threat of Substitutes
3.6.5. Internal Rivalry
3.7. PESTEL Analysis
Chapter 4. Datacenter Deployment Spending Global Market Product Outlook
Chapter 5. Datacenter Deployment Spending Global Market Application Outlook
Chapter 6. Datacenter Deployment Spending Global Market Geography Outlook
6.1. Datacenter Deployment Spending Industry Share, by Geography, 2022 & 2030
6.2. North America
6.2.1. Market 2022 -2030 estimates and forecast, by product
6.2.2. Market 2022 -2030, estimates and forecast, by application
6.2.3. The U.S.
6.2.3.1. Market 2022 -2030 estimates and forecast, by product
6.2.3.2. Market 2022 -2030, estimates and forecast, by application
6.2.4. Canada
6.2.4.1. Market 2022 -2030 estimates and forecast, by product
6.2.4.2. Market 2022 -2030, estimates and forecast, by application
6.3. Europe
6.3.1. Market 2022 -2030 estimates and forecast, by product
6.3.2. Market 2022 -2030, estimates and forecast, by application
6.3.3. Germany
6.3.3.1. Market 2022 -2030 estimates and forecast, by product
6.3.3.2. Market 2022 -2030, estimates and forecast, by application
6.3.4. the UK
6.3.4.1. Market 2022 -2030 estimates and forecast, by product
6.3.4.2. Market 2022 -2030, estimates and forecast, by application
6.3.5. France
6.3.5.1. Market 2022 -2030 estimates and forecast, by product
6.3.5.2. Market 2022 -2030, estimates and forecast, by application
Chapter 7. Competitive Landscape
Chapter 8. Appendix

Download here the full INDEX of Datacenter Deployment Spending Market Research Report @

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Killexams : Banks must do more in the face of growing security complexity

As customers demand 24/7 digital access to banking in the post-pandemic reality, fraud and security breaches have become top of mind in this interconnected environment.

By Ria Pinto: GM and technology leader of IBM South Africa

For the financial services industry, the pandemic outbreak was a moment of reckoning for security and fraud prevention programs and today, it has never been more important to combine data across security functions, to predict and respond proactively and make well-informed risk decisions that drive business performance.

With society leaning more heavily on digital interactions during this pandemic, we’ve seen new financial business models gain industry momentum – along with the accelerated adoption of digital processes with anything from customer onboarding, to authentication, secure transaction authorisation, and verification processes. All of which have had to take place without service providers ever meeting a customer or seeing a tangible piece of ID.

With data breaches now costing South African companies R46 million on average, it comes as no surprise that financial services institutions are finding they need to do more to help protect sensitive data entrusted to them by employees and consumers.

Changing customer identity

For financial services organisations, cybersecurity demands are about to increase drastically in this sector. The once “connoisseurs” of security controls will soon be faced with an urgency to redesign and recreate a whole new security construct to secure their environments and customers. This is the case for banks that are seeing the era of the Digital Native come into full swing and have to adapt quickly.

What lies ahead for banks is a “faceless” threat, which the current security constructs will need to adapt to. Digital Natives are the next generation customer profile that is already beginning to shape the future of the financial industry. Their demand for speedy, frictionless, and fully digital experiences are augmenting the industry’s investment into hybrid cloud, AI, and modernisation. But banks will need to understand a truly unique characteristic of the digital native customer: it is largely someone that they don’t know, nor will they ever physically meet.

With a growing number of customers seekinG online banks that are nimbler and more cost-effective, and this push is thrusting the industry into challenging security territories. The risk scale will begin increasing many-fold as more customers begin to flow in from anywhere, unlimited by physical locations, and using a variety of devices to access their banking vendors’ services.

What started as a necessity during the pandemic, has become a stronger than ever preference for digital and mobile channel experiences. To understand these digital behaviors and to detect anomalies in these unlimited spaces at the growing pace of speedy access and transactions, technologies such as AI and machine learning will prove to be table stakes. Those who fail to evolve with these trends may cease to exist in a post-Covid world.

Fighting crime with AI

Over the years, we have seen how the financial services industry has been a pioneer in AI adoption, using advances in natural language processing, machine learning, automation and more to transform tedious processes like audits and even help pick stocks for investors.

As the onus to spot financial crimes falls on the banking and financial institutions that can face significant fines for failures to detect, report, and pre-empt criminal activities, existing approaches and systems which typically detect suspicious activities that align to predefined rules and controls are not enough.

To combat emerging attack trend and tie together suspicious webs and patterns, leading financial services organisations are developing unique AI models that fuse together criminal patterns across institutions.

One area of this is using AI in fraud detection. Rules-based fraud detection can result in false positives, creating headaches for consumers and banks alike when, for example, consumers use their credit on vacation and transactions are blocked. Advanced use of AI can reduce the number of false positives in fraud detection and make the overall experience of keeping customers’ money and personal information safe with amore frictionless process.

AI will increasingly be used for the identification, mitigation and resolution of cyberattacks, especially the most common breaches, allowing expert talent to focus their attention on the most complex and serious attacks.

Pull the plug on trust

The reality for most organisations is that the most successful cyberattacks are ones are the ones you don’t even know are occurring –  making a zero-trust security architecture which permeates every business environment at all times essential.

While banks are now turning to the power of hybrid cloud and the rise of specialised clouds to deal with the stringent regulatory and compliance requirements – complexities continue to grow. The many variables that digital native customers introduce to financial services environments and the expanded relationships that standalone digital banks rely on are adding to a growing attack surface.

Companies studied that adopted a zero trust security approach were better positioned to deal with attacks and data breaches. This approach operates on the assumption that user identities or the network itself may already be compromised, and instead relies on AI and analytics to continuously validate connections between users, data and resources. South African organisations with a mature zero trust strategy had an average data breach cost of R29 million – which was R25 million lower than those who had not deployed this approach at all.

It’s essential that banks design a strategy on the assumption of compromise. By operating with the notion that an environment is exposed by default, and an adversary has already exploited that exposure to compromise a financial services network, the business is more readily prepared to scrutinise its trusted relationships.

With a growing risk footprint, organisations have to do more to Strengthen cyber security. Every organisation needs to have the right tools leveraging AI, machine learning, analytics and other forms of security automation in place to be prepared and ready for the evolving threat landscape.

Wed, 27 Jul 2022 03:54:00 -0500 en-US text/html https://it-online.co.za/2022/07/27/banks-must-do-more-in-the-face-of-growing-security-complexity/
Killexams : The path to cyber security 2030 No result found, try new keyword!Frost & Sullivan says that over the next 8 years, the earth will have a complex network of 200 billion devices, averaging over 20 connected devices per human. Wed, 03 Aug 2022 18:14:00 -0500 en-in text/html https://www.msn.com/en-in/money/technology/the-path-to-cyber-security-2030/ar-AA10hUyj
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