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New York, Dec. 08, 2021 (GLOBE NEWSWIRE) -- Reportlinker.com announces the release of the report "Healthcare Artificial Intelligence (AI) Market - Global Outlook & Forecast 2021-2026" - https://www.reportlinker.com/p06188649/?utm_source=GNW 5 billion by 2026, growing at a CAGR of 46.21%.

Several pharmaceutical companies are implementing innovative technologies to boost their growth in the global healthcare industry. Collaboration of GSK with Exscientia identified a small compound for targeted therapeutics and its characteristics towards the specific target using the AI platform. AI is becoming an incredible platform in the pharmaceutical industry. For instance, Novartis announced Microsoft as a strategic partner in AI and data science to set up an AI innovation lab. Since the last year, over 50+ companies have got machine learning and AI algorithms approvals. During the COVID-19 pandemic, AI played a significant role in the healthcare industry. An analytics study by Accenture combined with clinical applications demonstrated the potential of AI to reduce approximately USD 150 billion per annum by 2026 in the US healthcare system.

The following factors are likely to contribute to the growth of the healthcare artificial intelligence market during the forecast period:

Increase in patient volume & complexities associated with data fueling demand for AI. The shrinking operational workforce in healthcare facilities propelling the need for AI. Technological advancement & innovations in AI influencing end-users in the market. Rising Investment in advanced drug discovery & development process augmenting the adoption of AI.

KEY HIGHLIGHTS

The healthcare providers segment accounted for the largest market share with around 48% compared to others in 2020. According to the research, Arizton estimated that APAC would witness the highest growth in the healthcare artificial intelligence (AI) market during the forecast period.

The study considers a detailed scenario of the present healthcare artificial intelligence market and its market dynamics for the period 2021?2026. It covers a detailed overview of several market growth enablers, restraints, and trends. The report offers both the demand and supply aspects of the market. It profiles and examines leading companies and other prominent ones operating in the market.

HEALTHCARE ARTIFICIAL INTELLIGENCE (AI) MARKET SEGMENTATIONThis research report includes a detailed segmentation by Category Application Technology End-user Geography

HEALTHCARE ARTIFICIAL INTELLIGENCE (AI) MARKET SEGMENTS

The software industry provides numerous services to the healthcare industry. With the advent of medical software, human errors are minimized in the global medical market. Using advanced software in healthcare enables the clinical experts to expertise their practices. Software providers are gaining huge opportunities in the healthcare artificial intelligence (AI) market. Software development companies are constantly striving to improve the industry and bring innovations.

Market Segmentation by Application Hospital Workflow Management Medical Imaging and Diagnosis Drug Discovery and Precision Medicine Patient Management

Market Segmentation by Technology Machine Learning Querying Method Natural Language Processing Others

Market Segmentation by End-users Healthcare Providers Pharma-biotech and medical devices companies Payers Others

GEOGRAPHICAL ANALYSISUS is the major revenue generator of the healthcare artificial intelligence (AI) market across the North American region. In North America, the potential increase in AI GDP is compounded by tremendous opportunities to adopt more productive technologies.

Market Segmentation by Geography

North Americao USo Canada Europeo Germanyo UKo Franceo Italyo Spaino Nordic Countries APACo Chinao Indiao Japan, Australiao South Koreao Rest of APAC Latin Americao Brazilo Mexicoo Argentina Middle East & Africao Turkeyo Saudi Arabiao South Africao UAE

VENDOR ANALYSISGiant players are focusing on pursuing organic growth strategies to enhance their product portfolio in the healthcare artificial intelligence (AI) market. Several initiatives by the players will complement growth strategies, which are gaining traction among end-users in the market. Rising growth of startups collaborating with key vendors in promoting their artificial intelligence in healthcare applications creating heavy competition in the market.

Prominent Vendors

Google IBM (International Business Machines) Intel Corporation Medtronic Microsoft Corporation Nvidia Corporation Siemens Healthineers

Other Prominent Vendors

Arterys Caption Health Enlitic Catalia Health General Vision Philips Stryker Shimadzu Recursion Pharmaceuticals GE Healthcare Remedy Medical Subtle Medical Netbase Quid Biosymetrics Sensely InformAI Bioclinica Owkin Binah.AI Oncora Medical Qure.AI Technologies Lunit Caresyntax Anju software Imagia Cybernetics Deep Genomics Welltok Inc. MDLive MaxQ AI Qventus Workfusion

KEY QUESTIONS ANSWERED:

1. How big is the healthcare artificial intelligence (AI) market?2. Which region has the highest share in the healthcare artificial intelligence market?3. Who are the key players in the healthcare AI market?4. What are the latest market trends in the healthcare artificial intelligence market?5. What is the use of AI in the healthcare market?Read the full report: https://www.reportlinker.com/p06188649/?utm_source=GNW

About ReportlinkerReportLinker is an award-winning market research solution. Reportlinker finds and organizes the latest industry data so you get all the market research you need - instantly, in one place.

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The healthcare artificial intelligence market is expected to reach USD 44.5 billion by 2026 - GlobeNewswire

Take a look at how AI can impact the NFL and what changes will it bring to the table.

Nowadays, technology is advancing at a very fast pace which opens up new opportunities for sports to improve the game. The sports industry in North America alone is worth more than $80 billion, and with the use of technology, the sports industry can grow even more.

This means that the sports industry has both the impetus and the means to leverage all of the power of the evolving AI market just to make the game safer, more exciting, make marketing more targeted and impactful, and sports more appealing to the wider market.

In the past couple of years, weve seen many sports all around the world that started using artificial intelligence and data learning, and the NFL is no exception. Even though we still havent scratched the surface of AIs potential, most professionals think that this is the right path for most sports including the NFL.

In todays article we will take a look at how AI can impact the NFL and what changes will it bring to the table.

Robotic coaches are not far away from reality, and soon most teams will rely on AI coaches to improve athletes skills.

For example, imagine an offensive line coach. He has 10 players in front of him, and he is analyzing the situation for arms strength to speed-from-standing focusing on one player at a time.

Now imagine the same situation with a robotic AI coach. He can analyze and watch all players simultaneously, and instantly crunch speed numbers of each arm rotation of every player who throws the ball.

Nowadays, data learning helps coaches make wiser decisions when it comes to improving each athletes skills, but in the future, this process will be autonomous.

Back in the day, player health and safety werent the first priority for teams, but nowadays, the situation is much different. Teams are now focusing more on their abilities, strength, mental and physical health.

In fact, this was the leagues first attempt at using machine learning and AI to improve the health of athletes and prevent injuries. The partnership between NFL and AWS resulted in the creation of the Digital Athlete, which is a computer simulation model designed to replicate infinite scenarios within the game environment, including outside environmental factors and variations by position.

All of this data will help teams improve treatment and rehabilitation of injuries in the short term, and possibly help predict and prevent injuries.

Wearable technology isnt something new. However, theyve grown more powerful which means they can collect more data during the game and in training sessions which helps coaches determine which segment should athletes focus on improving.

On top of that, wearable tech alongside AI can also help reduce the risk of injuries. One torn muscle or overextended knee caused by working too hard before warming up can mean loss of millions to the team, and possibly the championship title.

Another important wearable tech for the NFL is the helmets fitted with multiple nodes that detect impact to the skull during play. This will help manufacturers create better and safer helmets by analyzing the force that went to their heads during collisions.

Referees have one of the toughest jobs in sports, and since they are only human, we cant expect them to be right all of the time. However, with the use of technology, the days of bad calls may soon be at an end.

Nowadays, referees have the help of wearables, nano sensors, even artificial intelligence just to help reduce referee errors. AI technology can analyze movement through multiple cameras on the field and make an accurate in-game decision in seconds. This will not only make decisions more accurate but also improve the pace of the game, which is something that the fans would love.

Can you imagine fans having some kind of input in a game? It would be awesome to see how fans will interact with NFL games in the future since the AI possibilities are limitless.

Nowadays, most sports use the power of social media and share their opinion about the game like determining a fans favorite player of the day. AI can improve the accuracy of TwinSpires guide on NFL odds and make betting more and more a game of skill instead of luck.

However, thanks to AI and machine learning fans can interact with sports even more. For example, you can watch the game in a stadium and through digital devices, you can check out each players data and possibly share your thoughts about their performance. This will intensify the relationship between the NFL and fans and make the sport even more desirable for the wider audience.

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Analytics Insight is an influential platform dedicated to insights, trends, and opinions from the world of data-driven technologies. It monitors developments, recognition, and achievements made by Artificial Intelligence, Big Data and Analytics companies across the globe.

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How NFL Can Implement Artificial Intelligence To Improve The Game - Analytics Insight

The Jackson Institute for Global Affairs announced today that it will establish the Schmidt Program on Artificial Intelligence, Emerging Technologies, and National Power. A signature new initiative of International Security Studies (ISS), the Schmidt Program will examine how advances in artificial intelligence (AI) have the potential to alter the fundamental building blocks of world order.

The Schmidt Program was made possible by a $15.3 million gift from the Schwab Charitable Fund through the generosity of Eric and Wendy Schmidt, and by recommendation of Schmidt Futures.

The Schmidt Program will foster research and teaching at Jackson that spans the disciplines of computer science, data science, economics, engineering, history, international relations, law, philosophy, physics, and political science. This multidisciplinary program will bring prominent technologists to campus as Schmidt Program Senior Fellows; offer postdoctoral fellowships to Schmidt Visiting Scholars; support collaborative research and student internships; and develop a robust offering of cyber- and AI-focused lectures, symposia, workshops, and conferences to further the dialogue around emerging technologies and security studies.

The Schmidt Program will be an outstanding addition to the Jackson Institute for Global Affairs, said Jim Levinsohn, director of the Jackson Institute. It is essential that our aspiring student leaders understand the risks and benefits associated with artificial intelligence and emerging technologies. We are so grateful to Eric and Wendy Schmidt for their inspirational support, and to the visionary leadership of Schmidt Futures and its Chief Executive Officer Eric Braverman, who has also taught classes at Yale since 2012, he said.

An accomplished technologist, entrepreneur, and philanthropist, Dr. Eric Schmidt served as Googles Chief Executive Officer and Chairman from 2001 to 2011, Executive Chairman from 2011 to 2018, and most recently as Technical Advisor from 2018 to 2020. Under Dr. Schmidts leadership, Google dramatically scaled its infrastructure, transforming from a Silicon Valley startup into a global leader in technology. Dr. Schmidt is the co-author of four acclaimed books, including most recently, The Age of AI: And Our Human Future. In 2017, he and Wendy Schmidt co-founded Schmidt Futures, a philanthropic initiative that bets early on exceptional people making the world better by solving hard problems in science and society.

AI is too powerful and too important for us to ignore the fundamental questions that it poses for our society. It is imperative that our global leaders, our universities, and society as a whole begin to find ways to partner with and better understand AIs potential if we are to shape its impact on the course of human history, said Eric Schmidt.

Establishing the Schmidt Program at Yale is a first step towards engaging in a multidisciplinary dialogue that examines the complexities of AI and begins to determine what societys rules and limitations will be for these powerful systems and tools, he said.

Professor Arne Westad, Director of International Security Studies at Yale, underscored the importance of the innovative new program.

This is an extraordinary opportunity to foster interdisciplinary collaboration on artificial intelligence at Jackson and across the university. We are especially eager to explore the historical parallels between the development of AI and nuclear weapons, and the relationship among technology, strategy, and power in the digital age, Westad observed.

The Schmidt Program will place teaching undergraduate, graduate, and professional school students at the core of its mission. The program will encourage faculty to develop new classes available to Jackson students, as well as administer its own flagship course on Artificial Intelligence, Emerging Technologies, and National Power. The new yearlong class, offered by ISS Executive Director Ted Wittenstein and team-taught by faculty from across the university, will help bridge the divide among global affairs, law, social science, and STEM students at Yale who are studying AI from different vantage points.

Advances in artificial intelligence offer tremendous opportunities for economic growth and societal well-being, noted Wittenstein, but the potential threats also are extraordinary: autonomous weaponry, sophisticated disinformation campaigns, and geopolitical instability as nations race to deploy these unpredictable technologies. I am thrilled to partner with Jackson and other Yale colleagues to equip our students with the requisite technical fluency to identify and respond to emerging threats, he said.

The Schmidt Program also will launch a new AI Symposium to bring visiting experts to campus for public talks and classroom visits beginning in spring 2022, enriching the Jackson and broader Yale community. In addition, the program will co-sponsor this years Yale Cyber Leadership Forum, which will focus on the national security implications of AI research and development. A partnership between the Jackson Institute and Yale Law Schools Center for Global Legal Challenges, the Forum is directed by Professor Oona Hathaway and brings together an impressive array of attorneys, entrepreneurs, policymakers, and academics to tackle the most pressing cyber challenges.

Jackson alumna Beth Goldberg (M.A., M.B.A. 18) works as a Research Manager at Googles incubator, Jigsaw, where she focuses on countering disinformation online. The interdisciplinary nature of this initiativewill expose students to both social science and technical perspectives on emerging threats, said Goldberg. This sets graduates up for success as policy careers increasingly demand expertise in the ethical, historical, and technical dimensions of emerging technologies.

Fellow Jackson alumna Andi Peng (YC 18) agrees. As someone that has spent a majority of my education and career bridging the gap between technology and policy, I am delighted to learn that Jackson is pioneering this first program of its kind, said Peng, who double majored in Global Affairs and Cognitive Science at Yale and is currently pursuing a Ph.D. at MIT. She previously worked at Microsoft Research, the White House Office of Science and Technology Policy, and Facebook AI Research.

Cutting edge AI technologies already have entered the forefront of our global political ethos. Educating innovators in this space is so important as we move forward into the modern era, Peng added.

Learn more about the Schmidt Program and its initial areas of research emphasis.

International Security Studies, a research hub dedicated to the study of international history, grand strategy, and global security, joined the Jackson Institute on October 1, 2021. The Yale Jackson School of Global Affairs, slated to open in fall 2022, will be the first professional school created at Yale in more than 40 years. Learn more about the future of Jackson

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Jackson Institute establishes Schmidt Program on Artificial Intelligence, Emerging Technologies, and National Power Yale Jackson Institute for Global...

By Lior Akavia, CEO and co-founder of Seebo

Four years ago, Elon Musk famously predicted that artificial intelligence will overtake human intelligence by the year 2025.

Were headed toward a situation where AI is vastly smarter than humans and I think that time frame is less than five years from now, he told the New York Times.

Musk has also repeatedly warned of the potential dangers of AI, even invoking the Terminator movie franchise by way of illustration.

And yet, the very same Elon Musk recently unveiled the prototype for a distinctly humanoid Tesla Robot, which he hopes will be ready in 2022. Speaking to an audience at Teslas AI Day in August, Musk quipped that the robot is intended to be friendly, and added that it will be designed to navigate through a world built for humans alluding to his previous, apparently still-extant concerns.

Of course, Musks fears about AI arent shared by everyone. Fellow tech entrepreneur Mark Zuckerberg has distinctly different views on the matter. On the other hand, Musk isnt alone, either; Stephen Hawking once famously warned that AI could ultimately spell the end of the human race.

So what can we take away from this confusing discourse about AI? Is artificial intelligence the savior of humanity? Or are we about to get conquered by an army of drones?

The truth is (probably) a lot less theatrical but arguably no less dramatic.

The misleading thing about these types of high-profile, philosophical debates about AI is that we actually have a long way to go before what Hawking referred to as full artificial intelligence is even developed let alone mass-introduced into the marketplace.

Undeniably, however, the vast potential of AI is as much recognized by experts as it is taken for granted by the general public. Machine learning and other forms of AI are already defining many aspects of our daily lives, from the way we communicate with others to our ability to get to work on time, to how we shop, work, and even acquire knowledge.

In unveiling his Tesla robot, Musk offered a pretty succinct summary of the core benefits of AI in general, asserting that the robots purpose will be to take over unsafe, repetitive, or boring tasks that humans would rather not do.

That summary is applicable to almost any AI application you can think of: taking over tasks that humans either never really enjoyed doing, or werent ever that great at in the first place. A classic example is food assembly lines: humans get tired, bored, make mistakes, and have potentially dangerous accidents all things that robots either dont experience at all, or (in the case of accidents) experience less often, with costs measured in terms of financial losses rather than human lives.

But a far better illustration of this reality is in the world of data. In the days before big data became a buzzword, there was hope that the explosion of information would immediately usher in an era of true enlightenment. Finally, human beings could have all the data they needed at their fingertips to make the optimal decisions every time.

Of course, thats not what happened. Instead of being liberated by big data, we became hostages to it. From the spam clogging our email inboxes to the blur of graphs, charts, and tables that to this day form the core challenge for almost every business.

Then came artificial intelligence, and with it, the key to unlocking the potential of that ocean of data. And herein lies both the immense promise of AI, as well as the fear of Terminators and robot-driven unemployment: AI, particularly in the form of machine learning algorithms, is infinitely better at analyzing data than human beings are.

While philosophical debates between tech heavyweights naturally make the headlines, the current daily reality is far more benign. In practice, AI is mostly being used to empower humans, not sideline them.

Take the food manufacturing example above. Yes, its true that many food assembly lines are now dominated by machines rather than people, much in the way the Industrial Revolution did away with other menial jobs. But just as the Industrial Revolution paved the way for a more prosperous future, rather than one of mass unemployment (as many feared at that time as well), the Industrial Artificial Intelligence Revolution is enhancing and improving the lives of food manufacturing teams, rather than rendering them redundant.

Using AI, food manufacturing teams are better able to excel at their jobs which of course benefits them, their employers, and ultimately the consumers who benefit from a greater quantity and better quality of product.

Ive seen this firsthand. My company, Seebo, is part of this Fourth Industrial Revolution. Our proprietary Process-Based Artificial Intelligence is enabling global leaders in the food industry to reduce production losses like waste, yield, and quality, saving them millions each year. At the same time, theyre using our technology to become more sustainable: cutting emissions, reducing energy consumption overall and significantly reducing food waste.

And as with many other applications of machine learning AI, its all about the data. In the case of food manufacturers, it means using Seebos AI to reveal the hidden causes of these food production losses, high emissions, and so on insights that were previously unavailable due to the complex nature of food manufacturing data. Armed with those insights, process experts and production teams are able to make the right decisions in real time: to know when to adjust the process or maintain certain set points that they may otherwise have neglected or overlooked.

Of course, as the saying goes, with great power comes great responsibility.

From the wheel to the printing press to nuclear power, technological advancements always have the potential for good or bad. In that sense, AI is no different; where it differs is that its full potential is largely unknown. Weve still yet to tap into the full potential of this technology, so it often feels like a sort of black magic.

But I do believe that the current trajectory is very much for the good but more to the point, we dont have a choice.

Humanity today faces two simultaneous global challenges. First, a population crisis with the global population set to swell 25% by the year 2050 on the one hand, while on the other hand many countries (most notably China) face a rapidly aging population. And second, a rising climate crisis, as countries and industries struggle to cut carbon emissions while maintaining the productivity necessary to sustain those growing and aging populations.

In this struggle, artificial intelligence is perhaps our greatest ally. Ive seen up close its potential to empower better decisions, bridging the gap between seemingly opposing goals like reducing emissions while producing more, not less.

Far from conquering us, AI is humanitys best chance of overcoming some of our greatest food manufacturing challenges today.

Lior Akavia is the CEO and co-founder of Seebo, an industrial Artificial Intelligence start-up that helps tier-one manufacturers around the world to predict and prevent quality and yield losses. He is a serial entrepreneur and innovator, focused on the fields of AI, IoT, and manufacturing.

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Artificial Intelligence in the Food Manufacturing Industry: Machine Conquers Human? - Food Industry Executive

Retention of students is an issue for academic institutions across the globe, given limited resources and tight budgets. In some countries, the average dropout rate is around 45%. Accordingly, measures are being taken to find a solution to this problem. Experts say that such strategies are most effective if applied in a students first year of the opted course.

The importance of artificial intelligence (AI) and machine learning (ML) can be vital here. Using AI-enabled devices, instructors can suit everyone's needs and requirements on a case-by-case basis which means each learner gets desired attention. AI in education is an emerging field that can be broadly classified into two subfields: Educational Data Mining and Learning Analytics.

Educational data mining helps learners learn and identify the settings where they perform well, as well as give deeper insights into the understanding of educational phenomena. In the future, AI-enabled applications will become common in universities that will integrate with other techniques to track the behavior of students, for instance finding the students risk of abandoning their studies so that timely action can be taken.

To keep track of students and courses, educational institutions retain vast amounts of data. The data contains information about students, their grades, faculty performance, etc. This data is very precious for the process of data mining in the educational sector as it serves as the basis for training any AI-ML model. Educational institutions that have adopted AI-ML have observed an increase in their efficiency because of the timely decisions taken by them.

Learning analytics is a new realm in education concerning AI, that can be considered as data collection about learners, analysing it, and reporting learners and their contexts. The goal is to understand and optimise learning and make this field more efficient. This involves using data visualisation, social network analysis, modelling and prediction of educational data using AI-ML techniques.

The challenge for academic institutions is the low performance when a significant number of students try hard to manage their studies and are forced to change their majors, or dismissed from the program, or have their graduation delayed. Teaching practices that are enabled with technology identify struggling students and produce rich data to detect at-risk students and find solutions for them. Besides improving the accuracy of prediction of AI-ML models, it is very important to improve the accuracy of prediction of failing students, who require immediate attention and support.

To handle at-risk students, the traditional approach which most educational institutions have been following is to collect the data about learners and work towards remediation. The actions could be in the form of moral and psychological support, counselling, mock tests, etc. The new generation is growing up with AI-ML-based learning systems; therefore, this is the need of an hour for an education system that prepares students for the data-driven society in which they live.

Dr Akhter Mohiuddin is an Associate Professor of Data Sciences, Great Lakes Institute of Management, Gurgaon. Views expressed here are his own

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Artificial Intelligence can read a students data to tell you if hes going to be a topper or a dropout - EdexLive