Easiest way to pass M2090-626 exam is to download free pdf from killexams

Move through our M2090-626 dumps questions plus feel confident regarding the M2090-626 test. You may pass your check at high signifies or your cashback. We today have aggregated the database of IBM Cognos Business Intelligence Sales Mastery Test v3 real questions through real test queries bank to end up being able to provide you a chance to get prepared and pass M2090-626 check on the preliminary attempt. Simply set up our Exam Sim and get prepared. You are going to pass the particular M2090-626 exam.

Exam Code: M2090-626 Practice test 2022 by Killexams.com team
IBM Cognos Business Intelligence Sales Mastery Test v3
IBM Intelligence health
Killexams : IBM Intelligence health - BingNews https://killexams.com/pass4sure/exam-detail/M2090-626 Search results Killexams : IBM Intelligence health - BingNews https://killexams.com/pass4sure/exam-detail/M2090-626 https://killexams.com/exam_list/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.

Advertisement

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.

Advertisement

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.

Weekdays

Catch up on the day’s top five stories every weekday afternoon.

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.

Advertisement

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 : 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.

Subscribe to our newsletter now for a weekly recap of our favorite AI stories in your inbox.

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 : Outlook on the Artificial Intelligence in Healthcare Global Market to 2030 - Players Include IBM, Microsoft, Intel and NVIDIA

Dublin, July 22, 2022 (GLOBE NEWSWIRE) -- The "Artificial Intelligence In Healthcare Market Size, Share, and Trends Analysis Report by Component (Software Solutions, Hardware, Services), by Application (Virtual Assistants, Connected Machines), by Region, and Segment Forecasts, 2022-2030" report has been added to ResearchAndMarkets.com's offering.

The global artificial intelligence in healthcare market size is expected to reach USD 208.2 billion by 2030. The market is expected to expand at a CAGR of 38.4% from 2022 to 2030. The growing demand for personalized medicine, rising demand for value-based care, growing datasets of patient health-related digital information, advancements in healthcare IT infrastructure, penetration of smartphones, improved internet connectivity, and shortage of care providers is propelling the growth of the market over the forthcoming years.

In addition, changing lifestyles, the growing geriatric population, rising prevalence of chronic diseases have contributed to the need for faster and accurate disease detection and improving the understanding of the disease in the early stage, thereby driving the adoption of technologies based on Artificial Intelligence (AI) in healthcare. The ongoing Covid-19 pandemic positively impacted the adoption of AI-based technologies and unearthed the potential they withhold. Healthcare systems began adopting AI-based technologies in faster and early diagnosis & detection of diseases and quicker & accurate clinical trials.

Furthermore, AI-based technologies were implemented in virtual assistants, robot-assisted surgeries, claims management, cybersecurity, and patient management. AI algorithms were trained with patient health datasets to optimize the diagnosis and detection of diseases at an early stage, to begin with, an optimum treatment regime. Supportive government initiatives, a growing number of investments from private investors and venture capitalists, and the emergence of AI-specialized startups across the globe are driving the market growth. Software solutions dominated in 2021, owing to the rapidly rising adoption rates of software solutions in healthcare systems and the growing penetration of these technologies in various applications.

The clinical trials segment dominated in 2021, owing to the adoption of these technologies in clinical trial designing, study adherence, patient recruitment, and minimized patient dropout. North America region dominated in 2021, owing to the availability of optimum IT infrastructure, technological literacy, presence of key players & local developers, and lucrative funding options. Key players are focusing on devising innovative product development strategies through mergers & acquisitions and collaborations to expand their product portfolio and cater to larger business geographies.

Artificial Intelligence In Healthcare Market Report Highlights

  • The AI in healthcare market size is anticipated to be valued at USD 208.2 billion by 2030, owing to the growing datasets of patient health-related information, advancing healthcare IT infrastructure, and growing need for accurate and early disease diagnosis
  • The software solutions segment dominated the global market in 2021, due to the widespread adoption of AI-based software solutions amongst care providers, payers, and patients.
  • The clinical trials segment dominated the market in 2021, owing to the growing demand for faster and accurate clinical trials with enhanced accuracy and reliability
  • North America dominated in 2021, owing to advancements in healthcare IT infrastructure, readiness to adopt advanced technologies, presence of several key players, growing geriatric population, and rising prevalence of chronic diseases

Key syllabus Covered:

Chapter 1 Research Methodology & Scope

Chapter 2 Executive Summary

Chapter 3 Global Artificial Intelligence In Healthcare Market Variables, Trends, & Scope
3.1 Artificial Intelligence In Healthcare Market Lineage Outlook
3.1.1 Parent market outlook
3.1.2 Related/ancillary market outlook
3.2 Penetration and Growth Prospect Mapping
3.3 User Perspective Analysis
3.3.1 Consumer behavior analysis
3.3.2 Market influencer analysis
3.4 List of Key End-users
3.5 Technology Overview
3.6 Regulatory Framework
3.7 Market Dynamics
3.7.1 Market Driver Analysis
3.7.2 Market Restraint Analysis
3.7.3 Industry Challenges
3.8 Global Artificial Intelligence In Healthcare Market Analysis Tools
3.8.1 Industry Analysis-Porter's
3.8.1.1 Bargaining power of the suppliers
3.8.1.2 Bargaining power of the buyers
3.8.1.3 Threats of substitution
3.8.1.4 Threats from new entrants
3.8.1.5 Competitive rivalry
3.8.2 PESTEL Analysis
3.8.2.1 Political landscape
3.8.2.2 Economic and Social landscape
3.8.2.3 Technology landscape
3.8.2.4 Legal landscape
3.8.2.5 Technology landscape
3.9 Major Deals & Strategic Alliances Analysis
3.9.1 Joint Ventures
3.9.2 Mergers & Acquisitions
3.9.3 Licensing & Partnership
3.9.4 Technology Collaborations
3.10 Impact of COVID-19 Pandemic on Artificial Intelligence In Healthcare Market

Chapter 4 Artificial Intelligence In Healthcare Market: Component Estimates & Trend Analysis
4.1 Definitions & Scope
4.2 Market: Component Market Share Analysis, 2021 and 2030
4.3 Software solutions
4.3.1 Market estimates and forecasts, 2016-2030 (USD Million)
4.4 Hardware
4.4.1 Market estimates and forecasts, 2016-2030 (USD Million)
4.5 Services
4.5.1 Market estimates and forecasts, 2016-2030 (USD Million)

Chapter 5 Artificial Intelligence In Healthcare Market: Application Estimates & Trend Analysis
5.1 Definitions & Scope
5.2 Market: Application Market Share Analysis, 2021 and 2030
5.3 Robot assisted surgery
5.3.1 Market estimates and forecasts, 2016-2030 (USD Million)
5.4 Virtual assistants
5.4.1 Market estimates and forecasts, 2016-2030 (USD Million)
5.5 Administrative workflow assistants
5.5.1 Market estimates and forecasts, 2016-2030 (USD Million)
5.6 Connected machines
5.6.1 Market estimates and forecasts, 2016-2030 (USD Million)
5.7 Diagnosis
5.7.1 Market estimates and forecasts, 2016-2030 (USD Million)
5.8 Clinical trials
5.8.1 Market estimates and forecasts, 2016-2030 (USD Million)
5.9 Fraud detection
5.9.1 Market estimates and forecasts, 2016-2030 (USD Million)
5.10 Cybersecurity
5.10.1 Market estimates and forecasts, 2016-2030 (USD Million)
5.11 Dosage error reduction
5.11.1 Market estimates and forecasts, 2016-2030 (USD Million)

Chapter 6 Artificial Intelligence In Healthcare Market: Regional Estimates & Trend Analysis, By Component, and Application

Chapter 7 Competitive Analysis
7.1 recent Developments & Impact Analysis, By Key Market Participants
7.2 Company/Competition Categorization (Key innovators, Market leaders, Emerging Players)
7.3 Vendor Landscape
7.3.1 Key Company Market Share Analysis, 2021
7.3.2 List of key distributors and channel partners
7.4 Public Companies
7.4.1 Company Market Position Analysis (Geographic Presence, Product Portfolio, Key Alliance, Industry Experience)
7.5 Private Companies
7.5.1 List of Key Emerging Companies /Technology Disruptors/Innovators
7.5.2 Company Market Position Analysis (Geographic Presence, Product Portfolio, Key Alliance, Industry Experience)

Chapter 8 Artificial Intelligence In Healthcare Market: Technology Qualitative Trend & Dynamic Analysis
8.1 Qualitative Trend & Dynamic Analysis
8.1.1 Machine Learning
8.1.2 Natural Language Processing
8.1.3 Computer Vision
8.1.4 Context Aware Processing

Chapter 9 Company Profiles
9.1 IBM Corporation
9.1.1 Company overview
9.1.2 Financial performance
9.1.3 Product benchmarking
9.1.4 Strategic initiatives
9.2 Microsoft
9.2.1 Company overview
9.2.2 Financial performance
9.2.3 Product benchmarking
9.2.4 Strategic initiatives
9.3 Intel Corporation
9.3.1 Company overview
9.3.2 Financial performance
9.3.3 Product benchmarking
9.3.4 Strategic initiatives
9.4 NVIDIA Corporation
9.4.1 Company overview
9.4.2 Financial performance
9.4.3 Product benchmarking
9.4.4 Strategic initiatives
9.5 Nuance Communications, Inc.
9.5.1 Company overview
9.5.2 Financial performance
9.5.3 Product benchmarking
9.5.4 Strategic initiatives
9.6 DeepMind Technologies Limited
9.6.1 Company overview
9.6.2 Financial performance
9.6.3 Product benchmarking
9.6.4 Strategic initiatives
9.7 List of Other Players

For more information about this report visit https://www.researchandmarkets.com/r/oyo5on

CONTACT: ResearchAndMarkets.com
         Laura Wood, Senior Press Manager
         press@researchandmarkets.com
         For E.S.T Office Hours Call 1-917-300-0470
         For U.S./CAN Toll Free Call 1-800-526-8630
         For GMT Office Hours Call +353-1-416-8900

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

Ad Disclosure: The rate information is obtained by Bankrate from the listed institutions. Bankrate cannot guaranty the accuracy or availability of any rates shown above. Institutions may have different rates on their own websites than those posted on Bankrate.com. The listings that appear on this page are from companies from which this website receives compensation, which may impact how, where, and in what order products appear. This table does not include all companies or all available products.

All rates are subject to change without notice and may vary depending on location. These quotes are from banks, thrifts, and credit unions, some of whom have paid for a link to their own Web site where you can find additional information. Those with a paid link are our Advertisers. Those without a paid link are listings we obtain to Improve the consumer shopping experience and are not Advertisers. To receive the Bankrate.com rate from an Advertiser, please identify yourself as a Bankrate customer. Bank and thrift deposits are insured by the Federal Deposit Insurance Corp. Credit union deposits are insured by the National Credit Union Administration.

Consumer Satisfaction: Bankrate attempts to verify the accuracy and availability of its Advertisers' terms through its quality assurance process and requires Advertisers to agree to our Terms and Conditions and to adhere to our Quality Control Program. If you believe that you have received an inaccurate quote or are otherwise not satisfied with the services provided to you by the institution you choose, please click here.

Rate collection and criteria: Click here for more information on rate collection and criteria.

Fri, 22 Jul 2022 06:31:00 -0500 text/html https://www.benzinga.com/pressreleases/22/07/g28166556/outlook-on-the-artificial-intelligence-in-healthcare-global-market-to-2030-players-include-ibm-mic
Killexams : Artificial Intelligence in Healthcare Market Trends in Technological Developments and Growth Forecast to 2030

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

Jul 14, 2022 (Alliance News via COMTEX) -- Key Companies Covered in the Artificial Intelligence in Healthcare Market Research are Alphabet Inc., Atomwise, Inc., Cyrcadia Health, Inc., Enlitic, Inc., General Vision, Inc., Icarbonx Co. Ltd., Intel Corporation, International Business Machines Corporation (IBM Corporation), Lifegraph Ltd., Microsoft Corporation, Modernizing Medicine Inc., Next It Corp., Nvidia Corporation, Oncora Medical, Inc., Welltok, Inc., Zebra Medical Vision Ltd., and other key market players.

The report covers the analysis and forecast of the global artificial intelligence in healthcare market as well as regional level. The study provides historic data of 2016 along with the forecast for the period between 2017 and 2025 based on revenue (US$ Mn). The study provides a detailed view of the global artificial intelligence in healthcare market, by segmenting it based on by offering, by application, by technology, by end-users, and regional demand.

Download Free trial of This Strategic Report: https://reportocean.com/industry-verticals/sample-request?report_id=5517

Artificial intelligence software is used to assist the medical system in relevant medical imaging, diagnostics, and insights, drug discovery, hospital management and in-patient care, virtual assistance, lifestyle management, precision medicine, patient data, research and risk analysis.Development and launch of upgraded technologies by major players present in the market, is also expected to make the artificial intelligence in healthcare market more demanding in the near future.


Regional segmentation includes the current and forecast demand for North America, Europe, Asia Pacific, Middle East and Africa and Latin America. The segmentation also includes by segmenting it based on by offering, by application, by technology, by end-users. These include different business strategies adopted by the leading players and their recent developments. A comprehensive analysis of the market dynamics that is inclusive of market drivers, restraints, and opportunities is part of the report. Additionally, the report includes potential opportunities in the artificial intelligence in healthcare market at the global and regional levels. Market dynamics are the factors which impact the market growth, so their analysis helps understand the ongoing trends of the global market. Therefore, the report provides the forecast of the global market for the period from 2017 to 2025, along with offering an inclusive study of the artificial intelligence in healthcare market.


The report provides the size of the artificial intelligence in healthcare market in 2017 and the forecast for the next eight years up to 2025. The size of the global artificial intelligence in healthcare market is provided in terms of revenue. Market revenue is defined in US$ Mn. The market dynamics prevalent in North America, Europe, Asia Pacific, Middle East and Africa and Latin America has been taken into account in estimating the growth of the global market.

Request To obtain trial of This Strategic Report:- https://reportocean.com/industry-verticals/sample-request?report_id=5517


Market estimates for this study have been based on revenue being derived through regional pricing trends. The artificial intelligence in healthcare market has been analyzed based on expected demand. Bottom-up approach is done to estimate the global revenue of the artificial intelligence in healthcare market, split into regions. Based on offering, application, technology, and end-users. The individual revenues from all the regions is summed up to achieve the global revenue for artificial intelligence in healthcare market. Companies were considered for the market share analysis, based on their innovation and application and revenue generation. In the absence of specific data related to the sales of artificial intelligence in healthcare by several privately held companies, calculated assumptions have been made in view of the company's penetration and regional presence.


The Global artificial intelligence in healthcare market has been segmented into:

Global Artificial Intelligence in Healthcare Market: By Offering
? Hardware
? Services
? Software

Global Artificial Intelligence in Healthcare Market: By Application
? Personal Health Assistants
? Patient Data & Risk Analysis
? Lifestyle Management and Monitoring
? Medical Imaging and Diagnosis
? Wearables
? Research
? Others

Global Artificial Intelligence in Healthcare Market: By Technology
? Machine Learning
? Speech Recognition
? Querying Method
? Others

Global Artificial Intelligence in Healthcare Market: By End-Use
? Diagnostics Centers
? Research & Development and Healthcare Institutions
? Pharmaceuticals and Biotechnology
? Others

SPECIAL OFFER (Avail an Up-to 30% discount on this report- https://reportocean.com/industry-verticals/sample-request?report_id=5517

Global artificial intelligence in healthcare market: By Geography
? North America
o The U.S.
o Canada
o Mexico
? Europe
o U.K.
o France
o Germany
o Italy
o Rest of Europe
? Asia Pacific
o India
o China
o Japan
o Rest of Asia Pacific
? Middle East and Africa
o South Africa
o Rest of Middle East and Africa
? Latin America
o Brazil
Rest of Latin America

Table of Content:

  • Market Definition and Overview
  • Research Method and Logic
  • Market Competition Analysis
  • Product and Service Analysis
  • Strategies for Company to Deal with the Impact of COVID-19
  • Market Segment by Type, Historical Data and Market Forecasts
  • Market Segment by Application, Historical Data and Market Forecasts
  • Market by by Region, Historical Data and Market Forecasts
  • Market Dynamic Analysis and Development Suggestions

Key Questions Answered in the Market Report

  • Which Manufacturing Technology is used for Market? What Developments Are Going on in That Technology?
  • Which Trends Are Causing These Developments? Who Are the Global Key Players in This Market?
  • What are Their Company Profile, Their Product Information, and Contact Information?
  • What Was Global Status of Market? What Was Capacity, Production Value, Cost and PROFIT of Market?
  • What Is Current Market Status of market Industry? What's Market Competition in This Industry, Both Company, and Country Wise?
  • What's Market Analysis of Market by Taking Applications and Types in Consideration?
  • What Are Projections of Global Market Industry Considering Capacity, Production and Production Value? What Will Be the Estimation of Cost and Profit?
  • What Will Be Market Share Report, Supply and Consumption? What about Import and Export?
  • What Is Market Chain Analysis by Upstream Raw Materials and Downstream Industry?

Request full Report : https://reportocean.com/industry-verticals/sample-request?report_id=5517

About Report Ocean:
We are the best market research reports provider in the industry. Report Ocean believes in providing quality reports to clients to meet the top line and bottom line goals which will boost your market share in today's competitive environment. Report Ocean is a 'one-stop solution' for individuals, organizations, and industries that are looking for innovative market research reports.

Get in Touch with Us:
Report Ocean:
Email:
sales@reportocean.com
Address: 500 N Michigan Ave, Suite 600, Chicago, Illinois 60611 - UNITED STATES
Tel:+1 888 212 3539 (US - TOLL FREE)
Website:https://www.reportocean.com

COMTEX_410123755/2796/2022-07-14T02:48:57

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

Wed, 13 Jul 2022 14:47:00 -0500 en-US text/html https://www.marketwatch.com/press-release/artificial-intelligence-in-healthcare-market-trends-in-technological-developments-and-growth-forecast-to-2030-2022-07-14
Killexams : Data breaches cost health systems more than $10M each

Naomi Diaz -

The average cost of a data breach for a healthcare organization is $10.1 million, according to IBM's annual cost of data breach report

Six things to know:

  1. Average breach costs in healthcare increased by nearly $1 million since the 2021 report.
  2. Healthcare organizations had the costliest breaches amongst industries for the 12th year in a row.
  3. Ransomware and destructive attacks represented 28 percent of breaches among critical infrastructure organizations.
  4. The HHS Office of Civil Rights' database shows that healthcare organizations have reported nearly twice as many breaches from January to mid-July as during the same period in 2021, according to Politico.
  5. Organizations with security platforms that use artificial intelligence saw 55 percent lower breach costs than those without.
  6. Organizations with an active incident response team also spent less on the follow-up to a breach.

Copyright © 2022 Becker's Healthcare. All Rights Reserved. Privacy Policy. Cookie Policy. Linking and Reprinting Policy.

Wed, 27 Jul 2022 02:59:00 -0500 en-gb text/html https://www.beckershospitalreview.com/cybersecurity/data-breaches-cost-health-systems-more-than-10m-each.html
Killexams : Global Healthcare Decision Support & IBM Watson Market Size, Share & Trends Analysis Report by Type, By Application, And Segment Forecasts to 2029

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

Jul 29, 2022 (Heraldkeepers) -- Pune India – Global Healthcare Decision Support & IBM Watson Market Research Report 2020-2026 thinks about key breakdowns in the Industry with insights about the market drivers and market restrictions. The report illuminates accumulating an all encompassing rundown of factual investigation for the market scape. While setting up this expert and top to bottom statistical surveying report, client necessity has been kept into center. The report covers a few overwhelming elements encompassing the worldwide Healthcare Decision Support & IBM Watson market, for example, worldwide appropriation channels, makers, market size, and other logical components that include the whole scene of the market. The examination archive intends to direct perusers in experiencing the impediments that are featured after a concentrated investigation.

To Know How COVID-19 Pandemic Will Impact Healthcare Decision Support & IBM Watson Market | Get a trial Copy of Report, Click Here: https://www.reportsweb.com/inquiry&RW00014675433/sample

Key Companies profiled in this research study are:

EMC Health Care Ltd.
AT&T
Cisco
Vangent Inc.
American Well Systems
Accenture
McKesson Corporation
IBM Watson
Aetna
Optum Inc.

The report has included vital parts of the business, for example, item advancement and determination, innovation, specialty development openings. The report encompasses business bits of knowledge at the broad commercial center. It assembles a serious scene that rethinks development openings alongside an assortment of item types, applications, and a worldwide circulation channel framework. It gives a broad examination of the provincial advertising techniques, market difficulties, and driving components, deals records, net benefit, and business channel disseminations. The market study report additionally includes the top vital participants in the Global Healthcare Decision Support & IBM Watson market.

NOTE: Our analysts monitoring the situation across the globe explains that the market will generate remunerative prospects for producers post the COVID-19 crisis. The report aims to provide an additional illustration of the latest scenario, economic slowdown, and COVID-19 impact on the overall industry.

Years to be Considered in this Healthcare Decision Support & IBM Watson Market Report:

History Year: 2017-2019

Base Year: 2020

Estimated Year: 2021

Forecast Year: 2022-2028

Healthcare Decision Support & IBM Watson Regional and Country-wise Analysis:

North America (U.S., Canada, Mexico)

Europe (U.K., France, Germany, Spain, Italy, Central & Eastern Europe, CIS)

Asia Pacific (China, Japan, South Korea, ASEAN, India, Rest of Asia Pacific)

Latin America (Brazil, Rest of Latin America)

The Middle East and Africa (Turkey, GCC, Rest of the Middle East and Africa)

Rest of the World....

In Chapter 8 and Chapter 10.3, based on types, the Healthcare Decision Support & IBM Watson market from 2017 to 2029 is primarily split into:
Artificial Intelligence
Data
Analytics
Cloud Computing

In Chapter 9 and Chapter 10.4, based on applications, the Healthcare Decision Support & IBM Watson market from 2017 to 2029 covers:
IT- Healthcare Solutions
Clinical Data Management
Genomics
Drug Discovery

The purposes of this analysis are:

  1. To characterize, portray, and check the Healthcare Decision Support & IBM Watson market based on product type, application, and region.
  2. To estimate and inspect the size of the Healthcare Decision Support & IBM Watson market (in terms of value) in six key regions, specifically, North and South America, Western Europe, Central & Eastern Europe, the Middle East, Africa, and the Asia-Pacific.
  3. To estimate and inspect the Healthcare Decision Support & IBM Watson markets at country-level in every region.
  4. To strategically investigate every sub-market about personal development trends and its contribution to the Healthcare Decision Support & IBM Watson market.
  5. To look at possibilities in the Healthcare Decision Support & IBM Watson market for shareholder by recognizing excessive-growth segments of the market.

Click here to avail lucrative discounts on our latest reports. We offer student, enterprise, and special periodic discounts to our clientele. Please fill the inquiry form below to know more – https://www.reportsweb.com/inquiry&RW00014675433/discount

Our report offers:

Market share assessments for the regional and country-level segments.

Inventory network patterns planning the most recent innovative progressions.

Key suggestions for the new participants.

Piece of the pie examination of the top business players.

Market conjectures for at least 9 years of the relative multitude of referenced fragments, sub-portions, and the local business sectors.

Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and suggestions).

Organization profiling with point by point techniques, financials, and ongoing turns of events.

Serious arranging planning the key regular patterns.

Key suggestions in key business portions dependent on market assessments.

Customization of the Report: This report can be customized to meet the client's requirements. Please connect with our sales team

((sales@reportsweb.com),), who will ensure that you get a report that suits your needs.

About Us:

ReportsWeb is a one stop shop of market research reports and solutions to various companies across the globe. We help our clients in their decision support system by helping them choose most relevant and cost effective research reports and solutions from various publishers.

The market research industry has changed in last decade. As corporate focus has shifted to niche markets and emerging countries, a number of publishers have stepped in to fulfil these information needs. We have experienced and trained staff that helps you navigate different options and lets you choose best research solution at most effective cost.

Contact Us:

Sameer Joshi

Phone:+1-646-491-9876 || +91-20-67271633 Rest of the World

Email: sales@reportsweb.com

Web: www.reportsweb.com

COMTEX_411220174/2582/2022-07-29T04:23:15

Is there a problem with this press release? Contact the source provider Comtex at editorial@comtex.com. You can also contact MarketWatch Customer Service via our Customer Center.

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

Thu, 28 Jul 2022 20:23:00 -0500 en-US text/html https://www.marketwatch.com/press-release/global-healthcare-decision-support-ibm-watson-market-size-share-trends-analysis-report-by-type-by-application-and-segment-forecasts-to-2029-2022-07-29
Killexams : IBM Security report finds data breaches are costlier than ever before

A new report from IBM Security today reveals that data breaches are costlier and more impactful than ever before.

IBM Security’s 2022 Cost of a Data Breach Report, based on analysis of real-world data breaches experienced by 550 organizations globally between March 2021 and March 2022, found that the average cost of a data breach has hit an all-time high of $4.35 million.

Figures relating to large companies and the cost involved in dealing with data breaches may seem academic to many, but interestingly the report suggests that the increasing cost of these incidents — up 13% over the last two years — is contributing to rising costs of goods and services. Sixty percent of studied organizations raised their product or service prices after experiencing a data breach. Those increases come at a time the cost of goods is already increasing from inflation and supply chain issues.

Data breaches were also found not to be one-offs, with 83% of studied organizations having experienced more than one data breach in their lifetime. Another factor rising over time is the after-effects of breaches on these organizations, which linger long after they occur, as nearly 50% of breach costs are incurred more than a year after the breach.

Whether companies are exclusively to blame for lax cybersecurity is arguable, but many were found lacking in adopting cutting-edge and more modern security practices. Eighty percent of critical infrastructure organizations studied were found to have not adopted zero-trust strategies, seeing average breach costs rise to $5.4 million – a $1.17 million increase compared with those that do.

Companies either in the early stages or who have not started applying security practices across their cloud environments were found to have $660,000 higher average breach costs than studied organizations with mature security across their cloud environments.

Conversely, organizations that have fully deployed security artificial intelligence and automation incurred $3.05 million less on average in breach costs compared to studied organizations that have not deployed the technology – the biggest cost saver observed in the study.

Ransomware victims in the study that opted to pay threat actors’ ransom demands saw only $610,000 less in average breach costs compared with those that chose not to pay – not including the cost of the ransom. Given the high price of ransom payments, the report notes, the financial toll may rise even higher, suggesting that paying the ransom may not be an effective strategy.

The most costly form of data breach among the companies studied was found to be phishing. Compromised credentials were the most common cause of a breach at 19% but phishing, accounting for 16% of breaches, led to average breach costs of $4.91 million.

Other highlights in the report included healthcare breath costs hitting double digits for the first time, with an average breach in the sector resulting in a cost of $10.1 million. Insufficient security staffing was noted to be a serious issue, with 62% of organizations saying they are not sufficiently staffed to meet their security needs, averaging $550,000 more in breach costs than those that state they are sufficiently staffed.

“Businesses need to put their security defenses on the offense and beat attackers to the punch,” Charles Henderson, global head of IBM Security X-Force, said in a statement. “It’s time to stop the adversary from achieving their objectives and start to minimize the impact of attacks.”

Image: IBM Security

Show your support for our mission by joining our Cube Club and Cube Event Community of experts. Join the community that includes Amazon Web Services and Amazon.com CEO Andy Jassy, Dell Technologies founder and CEO Michael Dell, Intel CEO Pat Gelsinger and many more luminaries and experts.

Tue, 26 Jul 2022 16:01:00 -0500 en-US text/html https://siliconangle.com/2022/07/27/ibm-security-report-finds-data-breaches-costlier-ever/
Killexams : IBM Report: Consumers Pay the Price as Data Breach Costs Reach All-Time High

60% of breached businesses raised product prices post-breach; vast majority of critical infrastructure lagging in zero trust adoption; $550,000 in extra costs for insufficiently staffed businesses

CAMBRIDGE, Mass., July 27, 2022 /PRNewswire/ -- IBM (NYSE: IBM) Security today released the annual Cost of a Data Breach Report,1 revealing costlier and higher-impact data breaches than ever before, with the global average cost of a data breach reaching an all-time high of $4.35 million for studied organizations. With breach costs increasing nearly 13% over the last two years of the report, the findings suggest these incidents may also be contributing to rising costs of goods and services. In fact, 60% of studied organizations raised their product or services prices due to the breach, when the cost of goods is already soaring worldwide amid inflation and supply chain issues.

The perpetuality of cyberattacks is also shedding light on the "haunting effect" data breaches are having on businesses, with the IBM report finding 83% of studied organizations have experienced more than one data breach in their lifetime. Another factor rising over time is the after-effects of breaches on these organizations, which linger long after they occur, as nearly 50% of breach costs are incurred more than a year after the breach.

The 2022 Cost of a Data Breach Report is based on in-depth analysis of real-world data breaches experienced by 550 organizations globally between March 2021 and March 2022. The research, which was sponsored and analyzed by IBM Security, was conducted by the Ponemon Institute.

Some of the key findings in the 2022 IBM report include:

  • Critical Infrastructure Lags in Zero Trust - Almost 80% of critical infrastructure organizations studied don't adopt zero trust strategies, seeing average breach costs rise to $5.4 million - a $1.17 million increase compared to those that do. All while 28% of breaches amongst these organizations were ransomware or destructive attacks.
  • It Doesn't Pay to Pay - Ransomware victims in the study that opted to pay threat actors' ransom demands saw only $610,000 less in average breach costs compared to those that chose not to pay - not including the cost of the ransom. Factoring in the high cost of ransom payments, the financial toll may rise even higher, suggesting that simply paying the ransom may not be an effective strategy.
  • Security Immaturity in Clouds - Forty-three percent of studied organizations are in the early stages or have not started applying security practices across their cloud environments, observing over $660,000 on average in higher breach costs than studied organizations with mature security across their cloud environments.
  • Security AI and Automation Leads as Multi-Million Dollar Cost Saver- Participating organizations fully deploying security AI and automation incurred $3.05 million less on average in breach costs compared to studied organizations that have not deployed the technology - the biggest cost saver observed in the study.

"Businesses need to put their security defenses on the offense and beat attackers to the punch. It's time to stop the adversary from achieving their objectives and start to minimize the impact of attacks. The more businesses try to perfect their perimeter instead of investing in detection and response, the more breaches can fuel cost of living increases." said Charles Henderson, Global Head of IBM Security X-Force. "This report shows that the right strategies coupled with the right technologies can help make all the difference when businesses are attacked."

Over-trusting Critical Infrastructure Organizations
Concerns over critical infrastructure targeting appear to be increasing globally over the past year, with many governments' cybersecurity agencies urging vigilance against disruptive attacks. In fact, IBM's report reveals that ransomware and destructive attacks represented 28% of breaches amongst critical infrastructure organizations studied, highlighting how threat actors are seeking to fracture the global supply chains that rely on these organizations. This includes financial services, industrial, transportation and healthcare companies amongst others.

Despite the call for caution, and a year after the Biden Administration issued a cybersecurity executive order that centers around the importance of adopting a zero trust approach to strengthen the nation's cybersecurity, only 21% of critical infrastructure organizations studied adopt a zero trust security model, according to the report. Add to that, 17% of breaches at critical infrastructure organizations were caused due to a business partner being initially compromised, highlighting the security risks that over-trusting environments pose.

Businesses that Pay the Ransom Aren't Getting a "Bargain"
According to the 2022 IBM report, businesses that paid threat actors' ransom demands saw $610,000 less in average breach costs compared to those that chose not to pay - not including the ransom amount paid. However, when accounting for the average ransom payment, which according to Sophos reached $812,000 in 2021, businesses that opt to pay the ransom could net higher total costs - all while inadvertently funding future ransomware attacks with capital that could be allocated to remediation and recovery efforts and looking at potential federal offenses.

The persistence of ransomware, despite significant global efforts to impede it, is fueled by the industrialization of cybercrime. IBM Security X-Force discovered the duration of studied enterprise ransomware attacks shows a drop of 94% over the past three years - from over two months to just under four days. These exponentially shorter attack lifecycles can prompt higher impact attacks, as cybersecurity incident responders are left with very short windows of opportunity to detect and contain attacks. With "time to ransom" dropping to a matter of hours, it's essential that businesses prioritize rigorous testing of incident response (IR) playbooks ahead of time. But the report states that as many as 37% of organizations studied that have incident response plans don't test them regularly.

Hybrid Cloud Advantage
The report also showcased hybrid cloud environments as the most prevalent (45%) infrastructure amongst organizations studied. Averaging $3.8 million in breach costs, businesses that adopted a hybrid cloud model observed lower breach costs compared to businesses with a solely public or private cloud model, which experienced $5.02 million and $4.24 million on average respectively. In fact, hybrid cloud adopters studied were able to identify and contain data breaches 15 days faster on average than the global average of 277 days for participants.

The report highlights that 45% of studied breaches occurred in the cloud, emphasizing the importance of cloud security. However, a significant 43% of reporting organizations stated they are just in the early stages or have not started implementing security practices to protect their cloud environments, observing higher breach costs2. Businesses studied that did not implement security practices across their cloud environments required an average 108 more days to identify and contain a data breach than those consistently applying security practices across all their domains.

Additional findings in the 2022 IBM report include:

  • Phishing Becomes Costliest Breach Cause - While compromised credentials continued to reign as the most common cause of a breach (19%), phishing was the second (16%) and the costliest cause, leading to $4.91 million in average breach costs for responding organizations.
  • Healthcare Breach Costs Hit Double Digits for First Time Ever- For the 12th year in a row, healthcare participants saw the costliest breaches amongst industries with average breach costs in healthcare increasing by nearly $1 million to reach a record high of $10.1 million.
  • Insufficient Security Staffing - Sixty-two percent of studied organizations stated they are not sufficiently staffed to meet their security needs, averaging $550,000 more in breach costs than those that state they are sufficiently staffed.

Additional Sources

  • To obtain a copy of the 2022 Cost of a Data Breach Report, please visit: https://www.ibm.com/security/data-breach.
  • Read more about the report's top findings in this IBM Security Intelligence blog.
  • Sign up for the 2022 IBM Security Cost of a Data Breach webinar on Wednesday, August 3, 2022, at 11:00 a.m. EThere.
  • Connect with the IBM Security X-Force team for a personalized review of the findings: https://ibm.biz/book-a-consult.

About IBM Security
IBM Security offers one of the most advanced and integrated portfolios of enterprise security products and services. The portfolio, supported by world-renowned IBM Security X-Force research, enables organizations to effectively manage risk and defend against emerging threats. IBM operates one of the world's broadest security research, development, and delivery organizations, monitors 150 billion+ security events per day in more than 130 countries, and has been granted more than 10,000 security patents worldwide. For more information, please check?www.ibm.com/security, follow?@IBMSecurity?on Twitter or visit the?IBM Security Intelligence?blog.

Press Contact:

IBM Security Communications
Georgia Prassinos
gprassinos@ibm.com

1Cost of a Data Breach Report 2022, conducted by Ponemon Institute, sponsored, and analyzed by IBM
2 Average cost of $4.53M, compared to average cost $3.87 million at participating organizations with mature-stage cloud security practices

Photo - https://mma.prnewswire.com/media/1865847/IBM_CODB.jpg

Logo - https://mma.prnewswire.com/media/95470/ibm_logo.jpg

Tue, 26 Jul 2022 16:05:00 -0500 de text/html https://www.finanznachrichten.de/nachrichten-2022-07/56648776-ibm-report-consumers-pay-the-price-as-data-breach-costs-reach-all-time-high-008.htm
Killexams : Outlook on the Artificial Intelligence in Healthcare Global Market to 2030 - Players Include IBM, Microsoft, Intel and NVIDIA

Company Logo

Global Artificial Intelligence In Healthcare Market

Global Artificial Intelligence In Healthcare Market

Dublin, July 22, 2022 (GLOBE NEWSWIRE) -- The "Artificial Intelligence In Healthcare Market Size, Share, and Trends Analysis Report by Component (Software Solutions, Hardware, Services), by Application (Virtual Assistants, Connected Machines), by Region, and Segment Forecasts, 2022-2030" report has been added to ResearchAndMarkets.com's offering.

The global artificial intelligence in healthcare market size is expected to reach USD 208.2 billion by 2030. The market is expected to expand at a CAGR of 38.4% from 2022 to 2030. The growing demand for personalized medicine, rising demand for value-based care, growing datasets of patient health-related digital information, advancements in healthcare IT infrastructure, penetration of smartphones, improved internet connectivity, and shortage of care providers is propelling the growth of the market over the forthcoming years.

In addition, changing lifestyles, the growing geriatric population, rising prevalence of chronic diseases have contributed to the need for faster and accurate disease detection and improving the understanding of the disease in the early stage, thereby driving the adoption of technologies based on Artificial Intelligence (AI) in healthcare. The ongoing Covid-19 pandemic positively impacted the adoption of AI-based technologies and unearthed the potential they withhold. Healthcare systems began adopting AI-based technologies in faster and early diagnosis & detection of diseases and quicker & accurate clinical trials.

Furthermore, AI-based technologies were implemented in virtual assistants, robot-assisted surgeries, claims management, cybersecurity, and patient management. AI algorithms were trained with patient health datasets to optimize the diagnosis and detection of diseases at an early stage, to begin with, an optimum treatment regime. Supportive government initiatives, a growing number of investments from private investors and venture capitalists, and the emergence of AI-specialized startups across the globe are driving the market growth. Software solutions dominated in 2021, owing to the rapidly rising adoption rates of software solutions in healthcare systems and the growing penetration of these technologies in various applications.

The clinical trials segment dominated in 2021, owing to the adoption of these technologies in clinical trial designing, study adherence, patient recruitment, and minimized patient dropout. North America region dominated in 2021, owing to the availability of optimum IT infrastructure, technological literacy, presence of key players & local developers, and lucrative funding options. Key players are focusing on devising innovative product development strategies through mergers & acquisitions and collaborations to expand their product portfolio and cater to larger business geographies.

Artificial Intelligence In Healthcare Market Report Highlights

  • The AI in healthcare market size is anticipated to be valued at USD 208.2 billion by 2030, owing to the growing datasets of patient health-related information, advancing healthcare IT infrastructure, and growing need for accurate and early disease diagnosis

  • The software solutions segment dominated the global market in 2021, due to the widespread adoption of AI-based software solutions amongst care providers, payers, and patients.

  • The clinical trials segment dominated the market in 2021, owing to the growing demand for faster and accurate clinical trials with enhanced accuracy and reliability

  • North America dominated in 2021, owing to advancements in healthcare IT infrastructure, readiness to adopt advanced technologies, presence of several key players, growing geriatric population, and rising prevalence of chronic diseases

Key syllabus Covered:

Chapter 1 Research Methodology & Scope

Chapter 2 Executive Summary

Chapter 3 Global Artificial Intelligence In Healthcare Market Variables, Trends, & Scope
3.1 Artificial Intelligence In Healthcare Market Lineage Outlook
3.1.1 Parent market outlook
3.1.2 Related/ancillary market outlook
3.2 Penetration and Growth Prospect Mapping
3.3 User Perspective Analysis
3.3.1 Consumer behavior analysis
3.3.2 Market influencer analysis
3.4 List of Key End-users
3.5 Technology Overview
3.6 Regulatory Framework
3.7 Market Dynamics
3.7.1 Market Driver Analysis
3.7.2 Market Restraint Analysis
3.7.3 Industry Challenges
3.8 Global Artificial Intelligence In Healthcare Market Analysis Tools
3.8.1 Industry Analysis-Porter's
3.8.1.1 Bargaining power of the suppliers
3.8.1.2 Bargaining power of the buyers
3.8.1.3 Threats of substitution
3.8.1.4 Threats from new entrants
3.8.1.5 Competitive rivalry
3.8.2 PESTEL Analysis
3.8.2.1 Political landscape
3.8.2.2 Economic and Social landscape
3.8.2.3 Technology landscape
3.8.2.4 Legal landscape
3.8.2.5 Technology landscape
3.9 Major Deals & Strategic Alliances Analysis
3.9.1 Joint Ventures
3.9.2 Mergers & Acquisitions
3.9.3 Licensing & Partnership
3.9.4 Technology Collaborations
3.10 Impact of COVID-19 Pandemic on Artificial Intelligence In Healthcare Market

Chapter 4 Artificial Intelligence In Healthcare Market: Component Estimates & Trend Analysis
4.1 Definitions & Scope
4.2 Market: Component Market Share Analysis, 2021 and 2030
4.3 Software solutions
4.3.1 Market estimates and forecasts, 2016-2030 (USD Million)
4.4 Hardware
4.4.1 Market estimates and forecasts, 2016-2030 (USD Million)
4.5 Services
4.5.1 Market estimates and forecasts, 2016-2030 (USD Million)

Chapter 5 Artificial Intelligence In Healthcare Market: Application Estimates & Trend Analysis
5.1 Definitions & Scope
5.2 Market: Application Market Share Analysis, 2021 and 2030
5.3 Robot assisted surgery
5.3.1 Market estimates and forecasts, 2016-2030 (USD Million)
5.4 Virtual assistants
5.4.1 Market estimates and forecasts, 2016-2030 (USD Million)
5.5 Administrative workflow assistants
5.5.1 Market estimates and forecasts, 2016-2030 (USD Million)
5.6 Connected machines
5.6.1 Market estimates and forecasts, 2016-2030 (USD Million)
5.7 Diagnosis
5.7.1 Market estimates and forecasts, 2016-2030 (USD Million)
5.8 Clinical trials
5.8.1 Market estimates and forecasts, 2016-2030 (USD Million)
5.9 Fraud detection
5.9.1 Market estimates and forecasts, 2016-2030 (USD Million)
5.10 Cybersecurity
5.10.1 Market estimates and forecasts, 2016-2030 (USD Million)
5.11 Dosage error reduction
5.11.1 Market estimates and forecasts, 2016-2030 (USD Million)

Chapter 6 Artificial Intelligence In Healthcare Market: Regional Estimates & Trend Analysis, By Component, and Application

Chapter 7 Competitive Analysis
7.1 recent Developments & Impact Analysis, By Key Market Participants
7.2 Company/Competition Categorization (Key innovators, Market leaders, Emerging Players)
7.3 Vendor Landscape
7.3.1 Key Company Market Share Analysis, 2021
7.3.2 List of key distributors and channel partners
7.4 Public Companies
7.4.1 Company Market Position Analysis (Geographic Presence, Product Portfolio, Key Alliance, Industry Experience)
7.5 Private Companies
7.5.1 List of Key Emerging Companies /Technology Disruptors/Innovators
7.5.2 Company Market Position Analysis (Geographic Presence, Product Portfolio, Key Alliance, Industry Experience)

Chapter 8 Artificial Intelligence In Healthcare Market: Technology Qualitative Trend & Dynamic Analysis
8.1 Qualitative Trend & Dynamic Analysis
8.1.1 Machine Learning
8.1.2 Natural Language Processing
8.1.3 Computer Vision
8.1.4 Context Aware Processing

Chapter 9 Company Profiles
9.1 IBM Corporation
9.1.1 Company overview
9.1.2 Financial performance
9.1.3 Product benchmarking
9.1.4 Strategic initiatives
9.2 Microsoft
9.2.1 Company overview
9.2.2 Financial performance
9.2.3 Product benchmarking
9.2.4 Strategic initiatives
9.3 Intel Corporation
9.3.1 Company overview
9.3.2 Financial performance
9.3.3 Product benchmarking
9.3.4 Strategic initiatives
9.4 NVIDIA Corporation
9.4.1 Company overview
9.4.2 Financial performance
9.4.3 Product benchmarking
9.4.4 Strategic initiatives
9.5 Nuance Communications, Inc.
9.5.1 Company overview
9.5.2 Financial performance
9.5.3 Product benchmarking
9.5.4 Strategic initiatives
9.6 DeepMind Technologies Limited
9.6.1 Company overview
9.6.2 Financial performance
9.6.3 Product benchmarking
9.6.4 Strategic initiatives
9.7 List of Other Players

For more information about this report visit https://www.researchandmarkets.com/r/oyo5on

Attachment

CONTACT: CONTACT: ResearchAndMarkets.com Laura Wood, Senior Press Manager press@researchandmarkets.com For E.S.T Office Hours Call 1-917-300-0470 For U.S./CAN Toll Free Call 1-800-526-8630 For GMT Office Hours Call +353-1-416-8900
Fri, 22 Jul 2022 12:32:00 -0500 en-GB text/html https://uk.finance.yahoo.com/news/outlook-artificial-intelligence-healthcare-global-110300027.html
M2090-626 exam dump and training guide direct download
Training Exams List