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Killexams : IBM Healthcare learner - BingNews https://killexams.com/pass4sure/exam-detail/000-M601 Search results Killexams : IBM Healthcare learner - BingNews https://killexams.com/pass4sure/exam-detail/000-M601 https://killexams.com/exam_list/IBM Killexams : Medical Imaging, Powered by IBM

IBM Watson Health and Merge Healthcare are bringing new insights, made possible through artificial intelligence and cognitive computing, to medical imaging.

Dr. Tanveer Syeda-Mahmood developed a tool that uses IBM Watson Health technology to help clinicians detect heart disease. Syeda-Mahmood is an IBM Fellow and chief scientist of the Medical Sieve Radiology Grand Challenge Project at IBM Research.

Radiologists are about to get some help with their imaging workload.

IBM Watson Health and Merge Healthcare, an IBM Company, are showcasing new tools to help clinicians analyze medical images. The offerings use machine learning, artificial intelligence, and cognitive computing to offer additional information that can help tailor diagnosis and treatment decisions.

To provide physicians a better understanding of the IBM technology, IBM Research is also conducting a live demonstration of the tools at the Radiological Society of North America Annual Meeting (RSNA) in Chicago, according to a press release.

The release notes that at least 90% of all medical data is images, according to IBM researchers' estimates, and that medical images are growing at the fastest rate of any type of medical data. Accuracy can suffer in the face of all these images that need to be analyzed, referenced, and compared by humans.

An oft-cited Johns Hopkins study published in 2013 revealed how frequently diagnostic errors happen and how devastating they can be. Researches estimated that 80,000-160,000 U.S. patients experience permanent injury or death related to misdiagnosis each year. 

"We designed this Watson-based demonstration to show physicians that soon they can navigate an abundance of digital data--structured and unstructured, text and images--and make informed decisions based on relevant and current information," Dr. Tanveer Syeda-Mahmood, an IBM Fellow and chief scientist of the Medical Sieve Radiology Grand Challenge Project at IBM Research, said in an IBM Research blog post. "More importantly, we can analyze a broad array of medical data and derive Watson-powered insights that are meaningful to doctors."

Syeda-Mahmood had a personal reason for her interest in using Watson to help analyze medical images. According to an IBM profile of the researcher, her father suffered a hemorrhagic stroke that was misdiagnosed as an ischemic stroke. He was given blood thinners as a result of this mistaken diagnosis. His condition worsened and he went into a coma. Happily, her father eventually recovered after medical repatriation to India and treatment there.

According to the blog post, that experience drove Syeda-Mahmood to research ways to enable more accurate diagnoses. 

At RSNA, Watson Health and Merge will both showcase new offerings, according to the press release. Watson Health will debut a cognitive peer review tool to clarify differences between a patient's health record and clinical evidence; a cognitive data summarization tool offering personalized patient information for interpretation, diagnosis, and treatment decisions; a cognitive physician support tool to enable personalized decisions using the entirety of patient data; and the MedyMatch "Brain Bleed" App to help diagnose a trauma patient with brain bleed or stroke.

The release also details the products Merge will show, including Marktation, a tool that enables faster image interpretation and will be used first in mammography; Watson Clinical Integration Module, a cloud application that radiologists can use to Improve efficiency and reduce errors; and the Lesion Segmentation and Tracking Module, to allow faster interpretation and reporting of comparison exams.

"Watson cognitive computing is ideally suited to support radiologists on their journey 'Beyond Imaging' to practices that address the needs of patient populations, deliver improved patient outcomes, and demonstrate real-world value," said Nancy Koenig, general manager of Merge Healthcare, in the release. "This week at RSNA, Merge is proud to unveil solutions for providers that enable the first steps on the cognitive care journey, addressing breast cancer, lung cancer, and trauma patients in the ER."     

[Image courtesy of IBM RESEARCH]

Sun, 24 Jul 2022 12:00:00 -0500 en text/html https://www.mddionline.com/radiological/medical-imaging-powered-ibm
Killexams : The right and wrong way to use artificial intelligence

For decades, scientists have been giddy and citizens have been fearful of the power of computers. In 1965 Herbert Simon, a Nobel laureate in economics and also a winner of the Turing Award (considered “The Nobel Prize of computing”), predicted that “machines will be capable, within 20 years, of doing any work a man can do.” His misplaced faith in computers is hardly unique. Sixty-seven years later, we are still waiting for computers to become our slaves and masters.

Businesses have spent hundreds of billions of dollars on AI moonshots that have crashed and burned. IBM’s “Dr. Watson” was supposed to revolutionize health care and “eradicate cancer.” Eight years later, after burning through $15 billion with no demonstrable successes, IBM fired Dr. Watson.

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In 2016 Turing Award Winner Geoffrey Hinton advised that “We should stop training radiologists now. It’s just completely obvious that within five years, deep learning is going to do better than radiologists.” Six years later, the number of radiologists has gone up, not down. Researchers have spent billions of dollars working on thousands of radiology image-recognition algorithms that are not as good as human radiologists.

What about those self-driving vehicles, promised by many including Elon Musk in his 2016 boast that “I really consider autonomous driving a solved problem. I think we are probably less than two years away.” Six years later, the most advanced self-driving vehicles are arguably Waymos in San Francisco, which only operate between 10 p.m. and 6 a.m. on the least crowded roads and still have accidents and cause traffic tie-ups. They are a long way from successfully operating in downtown traffic during the middle of the day at a required 99.9999% level of proficiency.

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The list goes on. Zillow’s house-flipping misadventure lost billions of dollars trying to revolutionize home-buying before they shuttered it. Carvana’s car-flipping gambit still loses billions.

We have argued for years that we should be developing AI that makes people more productive instead of trying to replace people. Computers have wondrous memories, make calculations that are lightning-fast and error-free, and are tireless, but humans have the real-world experience, common sense, wisdom and critical thinking skills that computers lack. Together, they can do more than either could do on their own.

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Effective augmentation appears to be finally happening with medical images. A large-scale study just published in Lancet Digital Health is the first to directly compare AI cancer screening when used alone or to assist humans. The software comes from a German startup, Vara, whose AI is already used in more than 25% of Germany’s breast cancer screening centers.

Researchers from Vara, Essen University and the Memorial Sloan Kettering Cancer Center trained the algorithm on more than 367,000 mammograms, and then tested it on 82,851 mammograms that had been held back for that purpose.

In the first strategy, the algorithm was used alone to analyze the 82,851 mammograms. In the second strategy, the algorithm separated the mammograms into three groups: clearly cancer, clearly no cancer, and uncertain. The uncertain mammograms were then sent to board-certified radiologists who were given no information about the AI diagnosis.

Doctors and AI working together turned out to be better than either working alone. The AI pre-screening reduced the number of images the doctors examined by 37% while lowering the false-positive and false-negative rates by about a third compared to AI alone and by 14%-20% compared to doctors alone. Less work and better results!

As machine learning improves, the AI analysis of X-rays will no doubt become more efficient and accurate. There will come a time when AI can be trusted to work alone. However, that time is likely to be decades in the future and attempts to jump directly to that point are dangerous.

We are optimistic that the productivity of many workers can be improved by similar augmentation strategies — not to mention the fact that many of the tasks that computers excel at are dreadful drudgery; e.g., legal research, inventory control and statistical calculations. But far too many attempts to replace humans entirely have not only been an enormous waste of resources but have also undermined the credibility of AI research. The last thing we need is another AI winter where funding dries up, resources are diverted and the tremendous potential of these technologies are put on hold. We are optimistic that the accumulating failures of moonshots and successes of augmentation strategies will change the way that we think about AI.

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Funk is an independent technology consultant who previously taught at National University of Singapore, Hitotsubashi and Kobe Universities in Japan, and Penn State, where he taught courses on the economics of new technologies. Smith is the author of ”The AI Delusion” and co-author (with Jay Cordes) of ”The 9 Pitfalls of Data Science” and ”The Phantom Pattern Problem.”

Fri, 05 Aug 2022 21:00:00 -0500 en-US text/html https://www.nydailynews.com/opinion/ny-oped-the-right-and-wrong-way-to-use-artificial-intelligence-20220806-txybtmlcwfgddnfdozvynz5u64-story.html
Killexams : Welcome back, Watson

Earlier this year, IBM sold its Watson Health data assets to PE firm Francisco Partners, marking the end of its push to transform healthcare through artificial intelligence. Now Francisco Partners has spun off the Watson assets into a standalone firm, Merative.

The move is designed to bring the company’s health data offerings to providers and government entities as well as the life sciences businesses IBM originally targeted. The goal, the company said in a statement, is “to Improve healthcare delivery, decision-making and performance.”

The announcement comes on the heels of several trying years for IBM Watson, when the organization proved unable to deliver on many of its ambitious promises. For instance, STAT reported that IBM Watson wasn’t able to get its software to analyze patient medical records reliably.

That investigation found that several of IBM Watson’s customers ended their relationships with the company because it “never invested in the technology needed to do the job we were being asked to do,” a former IBM Watson employee told the publication.

Project Josephine, an effort to fix problems with its natural language processing offering, similarly fell short. Its failure prompted an executive exodus, including Dr. Andrew Norden (deputy chief health officer of Watson Health) and Dr. Patrick McNeillie (clinical lead of Watson for Genomics).

In some ways, Merative appears to represent an attempt to redeem those previous blunders – and resuscitate the reputation of what used to comprise IBM Watson.

On its website, Merative lists six main areas of work it plans to be involved in: clinical decision support, clinical development, enterprise imaging, healthcare analytics, social program management and real-world evidence. It also touts six product lines.

The company promises to bring “technology and expertise to clients across healthcare through industry-leading data and analytics solutions,” said Francisco Partners co-president Ezra Perlman and principal Justin Chen in a statement. “Our ownership will help Merative drive crucial focus in executing on organic and inorganic growth strategies.”

But whether Merative can fully realize the initial promise of IBM Watson is anyone’s guess.

“There is an enormous risk to our credibility as marketers when we drive hype cycles,” Hans Kaspersetz, Relevate Health Group chief innovation officer, told MM+M last year. “As we move into the next evolution of development around artificial intelligence and machine learning, it’s critical that we demand transparency into the research that supports it, into the data sets and training corpuses that are used, and into the algorithms so that we can ensure there’s not systemic or implicit bias and that we can reproduce the outcomes in a scientific way.”

Though Merative is distancing itself from IBM Watson’s troubles, the company isn’t hiding ties to its past. The company claims a “half-century of history” on its website, starting with IBM innovations from as early as 1973. The last item on the timeline? Merative’s birth in 2022.

Mon, 11 Jul 2022 09:23:00 -0500 en-US text/html https://www.mmm-online.com/home/channel/welcome-back-watson/
Killexams : IILM University signs MoU with IBM, illuminating students about new-age technologies and the exclusive IBM Digital Badge

Greater Noida : IILM University, Greater Noida, signed a Memorandum of Understanding (MoU) with IBM Innovation Centre for Education in August , 2022. The MoU was signed by Vice-Chancellor, IILM University, Dr. Taruna Gautam and Program Director, IBM Innovation Centre for Education, Mr. Vithal Madyalkar. Among those who attended the formal signing ceremony included Mr. R. Hari, IBM leader for Business Development & Academia relationships, Dr. Raveendranath Nayak, Director-IILM Graduate School of Management and Dr. Shilpy Agrawal, Head of Computer Science and Engineering Department, IILM University, Greater Noida.

Commenting over the collaboration between the two knowledge hubs, Dr. Taruna Gautam, Vice-Chancellor IILM University, Greater Noida, IILM University, said, “We are extremely excited about the new development as it aligns with our core aim to raise a race of competent professionals and make them future-ready. As part of the newly formed alliance, IBM would offer the university students much-needed applied IT knowledge, establishing a structured learning pathway. IBM’s Innovation Centre for Education Programs would impart students with information about the emerging technologies and in-demand industry domains like Cloud Computing and Virtualization, Data Sciences & Business Analytics, Graphics and Gaming Technology, Artificial Intelligence, Machine Learning, Blockchain, Cyber Security and Forensics, IT Infrastructure management, and Internet of Things.”

The students will also get a chance to enhance their skills pertaining to information technology required for operating different business domains such as Telecom informatics, Banking, Financial services and Insurance informatics, e-commerce & Retail Informatics, and Healthcare Informatics.

IBM Innovation Centre for Education offers various unique, time-tested initiatives and skills developed by IBM Trained & Certified faculty & Technology Experts. The in-depth and applied courseware powered by IBM will be exclusively available to the students at IILM University. The new progression is in line with the NEP 2020 norms, promoting the project and lab-based learning combined with Instructor-led classroom training.

The program will help students gain not only a competitive edge over others during interviews, internships as well as national and International contests, but also IBM’s globally-recognized Digital Badge, in addition to the degree offered by the University.

Mon, 08 Aug 2022 06:06:00 -0500 en-US text/html https://indiaeducationdiary.in/iilm-university-signs-mou-with-ibm-illuminating-students-about-new-age-technologies-and-the-exclusive-ibm-digital-badge/
Killexams : Great Learning to host a webinar on “Cloud Computing: Applications in Healthcare and career prospects” on August 8

New Delhi: Great Learning, a leading global edtech company for higher and professional education is hosting a webinar for working professionals pursuing a career in Cloud Computing. The webinar will provide insights on Cloud as a domain and also how to advance career in the domain. This engaging live session will be followed by a Q/A round with Krishnan L Narayan (President and Chief Technologist – Netracity. LLC | Ex – IBM) and Mamta Kajla (Senior Program Manager, Cloud Operations – Great Learning); where the speakers will talk about in-demand roles, key skills, and career paths. Furthermore, they will also discuss how the healthcare industry is adopting cloud services across the ecosystem. And last but not the least, the session will throw light on  how the PG Program in Cloud Computing offered by Great Lakes Executive Learning will help learners advance their careers.

This session will be conducted from 7:00pm IST, on August 8, 2022.

Registration Link for the Webinar (Free) – https://bit.ly/3S9Zsad

Fri, 05 Aug 2022 03:16:00 -0500 en-US text/html https://indiaeducationdiary.in/great-learning-to-host-a-webinar-on-cloud-computing-applications-in-healthcare-and-career-prospects-on-august-8/
Killexams : IBM, MIT AI tool generates questions to help clinicians using EHRs

IBM and Massachusetts Institute of Technology data scientists teamed up to create an artificial intelligence tool that generates questions to help healthcare professionals use EHRs more effectively and efficiently, according to their paper published June 6.

Working with 10 medical experts and using more than 100 patient discharge summaries, researchers at IBM and MIT compiled more than 2,000 questions and 1,000 triggers of questions that physicians may ask when looking at a patient's EHR. They categorized each question or trigger written by the medical experts into groups such as symptom/sign, demographics and test results, making it easier for physicians to navigate through the questions. 

The team then trained a data model to do this organically. For instance, if an EHR notes that a patient had a mass in their neck, one question generated may be about its size or color, in the category of symptoms. 

They found that their model produced a high-quality question 62.5 percent of the time in response to a prompt, but only if given more context. Without the context, the question generation quality declined. 

"Our results demonstrate that existing machine learning systems, including large-scale neural networks, struggle with the tasks we propose. We encourage the community to Improve on our baseline models," the researchers wrote. They also opened their machine learning tool to the public for continued work.

Wed, 20 Jul 2022 09:48:00 -0500 en-gb text/html https://www.beckershospitalreview.com/ehrs/ibm-mit-ai-tool-generates-questions-to-help-clinicians-using-ehrs.html
Killexams : IBM’s gobbling up AI companies left and right — and we love it

Big Blue’s been on a buying spree lately with Databand.ai, a big data startup, becoming its latest acquisition. Don’t blink. If you do, you might miss another huge IBM buyout.

Up front: Big data is a big deal. Less than a decade ago, many businesses were manually entering data into spreadsheets to meet their insight needs. Today, even the most modest startups can benefit from deep analytics.

Unfortunately, the landscape of companies that provide targeted services for a spectrum of industries is somewhat barren.

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Simply put, you can’t just integrate a bunch of generic AI models into your IT stack and hope to magically pipeline solutions to your company’s problems.

It takes infrastructure and expertise to turn your hoard of data into action points.

Background: IBM’s spent over a century developing the infrastructure. But expertise is a moving target. To keep up with the modern influx of deep learning and data solutions in a period of technological turbulence, the company’s new CEO has opened up the corporate wallet in hopes of building a data-parsing juggernaut.

Per a recent IBM blog post:

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

This particular acquisition shores up IBM’s ability to provide “data observability” solutions for its clients and customers.

In other words, Databand.ai comes with a suite of products and a team of employees who know how to turn giant troves of data into useful insights.

According to IBM:

A rapidly growing market opportunity, data observability is quickly emerging as a key solution for helping data teams and engineers better understand the health of data in their system and automatically identify, troubleshoot and resolve issues, like anomalies, breaking data changes or pipeline failures, in near real-time.

Quick take: There’s a lot more to the world of big data than you might think. With this acquisition, IBM not only gets software solutions it can integrate to its current cornucopia of management and analytics tools, but it also gets a team that’s ready to hit the ground running for the company’s clients.

Databand.ai just finished a funding round prior to the acquisition wherein it raised over $14 million — that’s a pretty good indication the company’s on solid footing.

Here at Neural, we love it. Databand’s joining a company whose CEO has their finger firmly on the pulse of big data and IBM’s expanding its already industry-leading portfolio of AI-powered solutions.

Sun, 17 Jul 2022 05:58:00 -0500 en text/html https://thenextweb.com/news/ibm-positions-itself-as-global-big-data-boss-with-latest-acquisition
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 recent 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 recent 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 : Learning Management System Market to See Huge Growth by 2027 : Xerox, IBM, SAP

The latest study released on the Global Learning Management System Market by AMA Research evaluates market size, trend, and forecast to 2027. The Learning Management System market study covers significant research data and proofs to be a handy resource document for managers, analysts, industry experts and other key people to have ready-to-access and self-analyzed study to help understand market trends, growth drivers, opportunities and upcoming challenges and about the competitors.

Key Players in This Report Include:

Cornerstone Ondemand, Inc. (United States), Xerox Corporation (United States), IBM Corporation (United States), Net dimensions Ltd. (United States), SAP Se (Germany), Blackboard, Inc. (United States), Saba Software, Inc. (United States), Mcgraw-Hill Companies (United States), Pearson Plc (United Kingdom), D2L Corporation (Canada),

Download demo Report PDF (Including Full TOC, Table & Figures) @ https://www.advancemarketanalytics.com/sample-report/4918-global-learning-management-system-market

Definition:

Learning management system basically a software application for the administration, documentation, tracking, reporting, and delivery of educational courses, training programs, and many others. The learning management system highly emerges from e-Learning.

Market Trends:

Increasing Competition Among Market Players

High Adoption of Cloud-Based Solutions

Market Drivers:

Growing Awareness Towards the Adoption of Digital Learning

Rapid Inclination to BYOD Policy and Enterprise Mobility

Widespread of Government Initiatives for Growth Of LMS

Growing Implication Of E-Learning in Corporates

Market Opportunities:

Growing Demand for Gamification in LMS Delivers Strong Opportunities for LMS Providers

High Surge in Demand for Collaborative Learning in LMS to Provide High Potentials for Trainees

The Global Learning Management System Market segments and Market Data Break Down are illuminated below:

by Type (Academic, Corporate), Industry Verticals (Banking, Financial Services, and Insurance, Healthcare, Retail, Government, Manufacturing, Others), Delivery Mode (Distance Learning, Instructor-Led Training), Organizations Size (Small and Medium Size Enterprises, Large Size Enterprises), Offerings (Solution, Services)

Global Learning Management System market report highlights information regarding the current and future industry trends, growth patterns, as well as it offers business strategies to helps the stakeholders in making sound decisions that may help to ensure the profit trajectory over the forecast years.

Have a query? Market an enquiry before purchase @ https://www.advancemarketanalytics.com/enquiry-before-buy/4918-global-learning-management-system-market

Geographically, the detailed analysis of consumption, revenue, market share, and growth rate of the following regions:

  • The Middle East and Africa (South Africa, Saudi Arabia, UAE, Israel, Egypt, etc.)
  • North America (United States, Mexico & Canada)
  • South America (Brazil, Venezuela, Argentina, Ecuador, Peru, Colombia, etc.)
  • Europe (Turkey, Spain, Turkey, Netherlands Denmark, Belgium, Switzerland, Germany, Russia UK, Italy, France, etc.)
  • Asia-Pacific (Taiwan, Hong Kong, Singapore, Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia).

Objectives of the Report

  • -To carefully analyze and forecast the size of the Learning Management System market by value and volume.
  • -To estimate the market shares of major segments of the Learning Management System
  • -To showcase the development of the Learning Management System market in different parts of the world.
  • -To analyze and study micro-markets in terms of their contributions to the Learning Management System market, their prospects, and individual growth trends.
  • -To offer precise and useful details about factors affecting the growth of the Learning Management System
  • -To provide a meticulous assessment of crucial business strategies used by leading companies operating in the Learning Management System market, which include research and development, collaborations, agreements, partnerships, acquisitions, mergers, new developments, and product launches.

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Major highlights from Table of Contents:

Learning Management System Market Study Coverage:

  • It includes major manufacturers, emerging player’s growth story, and major business segments of Learning Management System market, years considered, and research objectives. Additionally, segmentation on the basis of the type of product, application, and technology.
  • Learning Management System Market Executive Summary: It gives a summary of overall studies, growth rate, available market, competitive landscape, market drivers, trends, and issues, and macroscopic indicators.
  • Learning Management System Market Production by Region Learning Management System Market Profile of Manufacturers-players are studied on the basis of SWOT, their products, production, value, financials, and other vital factors.
  • Key Points Covered in Learning Management System Market Report:
  • Learning Management System Overview, Definition and Classification Market drivers and barriers
  • Learning Management System Market Competition by Manufacturers
  • Impact Analysis of COVID-19 on Learning Management System Market
  • Learning Management System Capacity, Production, Revenue (Value) by Region (2021-2027)
  • Learning Management System Supply (Production), Consumption, Export, Import by Region (2021-2027)
  • Learning Management System Production, Revenue (Value), Price Trend by Type {Academic, Corporate,}
  • Learning Management System Manufacturers Profiles/Analysis Learning Management System  Manufacturing Cost Analysis, Industrial/Supply Chain Analysis, Sourcing Strategy and Downstream Buyers, Marketing
  • Strategy by Key Manufacturers/Players, Connected Distributors/Traders Standardization, Regulatory and collaborative initiatives, Industry road map and value chain Market Effect Factors Analysis.

Browse Complete Summary and Table of Content @ https://www.advancemarketanalytics.com/reports/4918-global-learning-management-system-market

Key questions answered

  • How feasible is Learning Management System market for long-term investment?
  • What are influencing factors driving the demand for Learning Management System near future?
  • What is the impact analysis of various factors in the Global Learning Management System market growth?
  • What are the recent trends in the regional market and how successful they are?

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