Category Archives: Artificial Intelligence

NASHVILLE, Tenn., Nov. 1, 2021 /PRNewswire/ --Algorithms rule the world or, at least, the world is headed that way. How can you prepare your company and its financial underpinnings not only to survive but also thrive under this new big data paradigm? In his new book, Deep Finance: Corporate Finance in the Information Age, author Glenn Hopper provides a clear guide for finance professionals and non-technologists who aspire to digitally transform their companies into modern, data-driven organizations streamlined for success and profitability.

Hopper, who comes to this subject armed with a unique background in finance and technology, contends that the finance department is perfectly placed to lead the digital revolution bringing companies of all sizes into a new era of efficiency while future-proofing the role of chief financial officer.

Deep Financeis written for a wide audience, ranging from those who don't know AI from A/R to those who are already working with data to drive business decisions. The book illuminates the path toward digital transformation with instructions on how finance professionals can elevate their leadership and become champions for data science.

InDeep Finance, readers will:

"In this Age of AI, every function in every company has to go through its own digital transformation to enable their organizations to succeed.Glenn Hopper provides an essential roadmap to accounting and finance executives on how to embrace analytics and AI as core tools for modern finance. This book should be a required reading for every general manager."

Karim R. Lakhani | Co-Author of Competing in the Age of AICo-Director of Laboratory for Innovation Science at Harvard and Co-Chair of Harvard Business Analytics Program

A former Navy journalist, filmmaker, and business founder, Hopper has spent the past two decades helping startups transition into going concerns, operate at scale, and prepare for funding and/or acquisition. He is passionate about transforming the role of CFO from a historical reporter and bookkeeper to a forward-looking strategist who is integral to a company's future. He has served as a finance leader in a variety of industries, including telecommunications, retail, Internet, and legal technology. He has a master's degree in finance with a graduate certificate in business analytics from Harvard University, and an MBA from Regis University.

Deep Financeis distributed by Simon & Schuster and will be available November 16, 2021, in eBook and print versions at Amazon, Barnes and Noble, and other online booksellers.

Contact:Glenn Hopper 615.756.7354[emailprotected]

SOURCE Glenn Hopper

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Artificial Intelligence, Automation and The Future of Corporate Finance - PRNewswire

This article was translated from our Spanish edition using AI technologies. Errors may exist due to this process.Opinions expressed by Entrepreneur contributors are their own.

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Innovation is essential for success. With the Mexican Grand Prix approaching soon, as it will take place on November 7, these innovations will be the center of attention, highlighting some of the most incredible feats of engineering: Formula 1 (F1). The fastest team will largely depend on your ability to innovate to win the race.

For the McLaren F1 team, that means perfecting the car to stay ahead of the competition. Every 17 minutes, McLaren creates a new part for its car. And, at the end of the season, 80% of the car will be completely different. With more than 180 Grand Prix victories and 20 championships, this strategy has served the historic McLaren team well.

But innovation is also critical to winning the race in cyberspace. To outcompete cyber attackers, organizations must invest in technologies that prioritize research and development, deploying technology to combat the growing number of increasingly sophisticated threats.

The constant evolution of the car makes McLaren's intellectual property - that is, the car's designs and its performance characteristics - its most prized jewel. Just as a startup's business model or product designs are crucial to any entrepreneur, McLaren's proprietary data is its most precious resource.

Both entrepreneurs and companies must take the necessary precautions to ensure that criminals cannot steal your ideas. Hackers don't care about legal frameworks or patents. They will do whatever it takes to cause harm.

A successful cyber attack could cause serious problems for any organization. These attacks could lead to a deterioration in reputation, significant capital losses, or the theft of ideas that are already patented. For McLaren or any other team, the damage that a cyberattack would cause - ranging from access to intellectual property, to the competition strategy or the data from the sensors connected to the cars - could be the difference between winning or losing.

The pace is so fast in racing that F1 teams need technology and innovation to keep up. Proper cybersecurity measures are critical to ensuring intellectual property protection, ensuring equipment can function, and most importantly ensuring victory is achieved.

Beyond data loss, cyberattacks can have physical consequences in the racing world. A successful cyberattack could disrupt the activities of a business entirely. The closure of any activity for a period of time would be unsustainable.

But for McLaren, not taking the car out on the track is inconceivable. A shutdown attack on a race weekend is the kind of situation that keeps McLaren leaders up at night.

Organizations must understand that hackers will eventually infiltrate. More important than building perimeter defenses with legacy technologies such as firewalls, companies must focus on mitigating the spread of threats and minimizing damage to avoid a shutdown.

The digital environment of an entrepreneur, like that of F1, moves at high speed: multiple processes and activities happen simultaneously. For that reason, leveraging artificial intelligence (AI) -based solutions for cybersecurity defense is vital.

The McLaren team uses AI technology to ensure the defense of its digital infrastructure. These artificial intelligence-based cybersecurity solutions automatically alert security teams to threats in their digital infrastructure. These real-time alerts allow security teams to focus their attention on responding to and remediating threats.

Especially during race weekends, it is important that the entire employee base - from the CEO to the team in the box - does not waste valuable time evaluating whether an email or other communication is authentic. They need to trust AI to examine that data for them.

This autonomous responsiveness allows the team to focus on more complex security tasks, without having to worry about relying on the decisions of a single individual to protect the entire company and its infrastructure. Not only is one person at risk by clicking on a suspicious link. The entire company is at risk.

Cybersecurity based on artificial intelligence (AI) is the best way to secure complex and sophisticated digital environments, such as a growing startup or a Formula 1 team. Every weekend, McLaren is in a different place, on a circuit different races.

The most successful AI has the ability to learn about the regular business operations of an organization, thereby identifying abnormal behaviors for that specific environment. In that sense, AI can prevent partial or total business interruption, data theft and other negative repercussions of a cyber attack. This type of AI, called self-learning, can adapt as its environment changes, which in the case of F1 is very common.

McLaren learned that it was essential to adopt this type of technology in advance. As attacks and their perpetrators become more sophisticated, defensive technologies need to rely on innovation to stay ahead of threats.

Every entrepreneur and businessman should follow McLaren's example: embrace new technologies to defend and protect their ideas and their work. McLaren took decisive steps to ensure its cyber integrity; companies should too.

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How does McLaren win the race both on the track and in cyberspace? With innovation and Artificial Intelligence - Entrepreneur

SAN FRANCISCO, Nov. 5, 2021 /PRNewswire/ --Ahura AI, a leading artificial intelligence startup announced the close of their seed round of financing and announced two new additions to the Ahura AI leadership team. Alex Tsado, formerly with Nvidia, Goldman Sachs, and Bain has joined the company as COO, and visionary technologist and inventor of web translators (the precursor to Google Translate), De Kai Wu has joined the company as Chief Technology Advisor. Ahura AI's $3M oversubscribed seed funding round came from CP Ventures, 2.12 Ventures and others.

According to the McKinsey Global Institute Report from 2019, an estimated 800M jobs globally will be lost to workforce automation and innovative technologies by 2030. Upskilling workforces has never been as critical to corporate existence as it is today. Rapid innovation is creating new tasks at a faster pace, and employees who are unable to acquire skills quickly enough are losing their relevance.

Alex Tsado's career has been in leadership roles, organizing teams to be purposeful in developing and applying the most powerful technologies on the planet to broaden access and opportunities for people. In addition to advising the largest corporations while at Bain Consulting and founding non-profit Aliiance4aito advise African governments on their AI blueprints, he was responsible for the NVIDIA cloud product, deploying every NVIDIA AI GPU on the public cloud to deliver the world-changing power of AI to millions of developers. In his new role, he will manage the company's business and product development teams at Ahura AI to achieve the company's mission.

"We are living in unprecedented times and urgency. With the impending workforce crisis in 2030, I'm pleased to be joining the groundbreaking team at Ahura AI to re-imagine upskilling to fundamentally impact the future for good. Ahura AI is guiding professionals at the top of their fields to address this challenge and apply it to saving people's jobs and well-being." said Tsado.

De Kai is a Distinguished Research Scholar at UC Berkeley's International Computer Science Institute. A native of St Louis, he worked and traveled around the world before joining Hong Kong's ambitious creation of Asia's now top-ranked HKUST, where he developed the foundations of modern statistical machine translation technology, with broad applications in computer music and computational musicology as well as human language processing and built the world's first public web translation service resulting in global coverage.

During his doctoral studies in cognitive science, artificial intelligence and computational linguistics at Berkeley, he worked on seminal projects on intelligent conversational dialog agents. His PhD dissertation employing maximum entropy to model human perception and interpretation of ambiguities was one of the first to spur the paradigm shift toward today's state-of-the-art statistical natural language processing technologies. In 2019, Google named De Kaias one of eight inaugural membersof its AI Ethics council, ATEAC(Advanced Technology External Advisory Council).

"My work's focus has always been on creating tools to educate people to better understand each other across cultures and in the world around them," said De Kai. "Ahura AI is doing groundbreaking work in an untapped area, the unconscious at work, and creating a platform that fundamentally helps people be more mindful, focused, and purposeful.

About Ahura AIAhura AI is an innovative AI leader who has developed a powerful platform that fosters true learning and skills knowledge, to positively impact the lives of companies and their workforces worldwide. Learn more at Ahuraai.com.

Media Contact:Tricia Chan949-288-2996[emailprotected]

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AI Upskilling Innovator, Ahura AI Raises $3M Seed Round & Taps Artificial Intelligence Veteran, Alex Tsado of Nvidia as COO and Visionary De Kai...

A scientist who wrote a leading textbook on artificial intelligence has said experts are spooked by their own success in the field, comparing the advance of AI to the development of the atom bomb.

Prof Stuart Russell, the founder of the Center for Human-Compatible Artificial Intelligence at the University of California, Berkeley, said most experts believed that machines more intelligent than humans would be developed this century, and he called for international treaties to regulate the development of the technology.

The AI community has not yet adjusted to the fact that we are now starting to have a really big impact in the real world, he told the Guardian. That simply wasnt the case for most of the history of the field we were just in the lab, developing things, trying to get stuff to work, mostly failing to get stuff to work. So the question of real-world impact was just not germane at all. And we have to grow up very quickly to catch up.

Artificial intelligence underpins many aspects of modern life, from search engines to banking, and advances in image recognition and machine translation are among the key developments in recent years.

Russell who in 1995 co-authored the seminal book Artificial Intelligence: A Modern Approach, and who will be giving this years BBC Reith lectures entitled Living with Artificial Intelligence, which begin on Monday says urgent work is needed to make sure humans remain in control as superintelligent AI is developed.

AI has been designed with one particular methodology and sort of general approach. And were not careful enough to use that kind of system in complicated real-world settings, he said.

For example, asking AI to cure cancer as quickly as possible could be dangerous. It would probably find ways of inducing tumours in the whole human population, so that it could run millions of experiments in parallel, using all of us as guinea pigs, said Russell. And thats because thats the solution to the objective we gave it; we just forgot to specify that you cant use humans as guinea pigs and you cant use up the whole GDP of the world to run your experiments and you cant do this and you cant do that.

Russell said there was still a big gap between the AI of today and that depicted in films such as Ex Machina, but a future with machines that are more intelligent than humans was on the cards.

I think numbers range from 10 years for the most optimistic to a few hundred years, said Russell. But almost all AI researchers would say its going to happen in this century.

One concern is that a machine would not need to be more intelligent than humans in all things to pose a serious risk. Its something thats unfolding now, he said. If you look at social media and the algorithms that choose what people read and watch, they have a huge amount of control over our cognitive input.

The upshot, he said, is that the algorithms manipulate the user, brainwashing them so that their behaviour becomes more predictable when it comes to what they chose to engage with, boosting click-based revenue.

Have AI researchers become spooked by their own success? Yeah, I think we are increasingly spooked, Russell said.

It reminds me a little bit of what happened in physics where the physicists knew that atomic energy existed, they could measure the masses of different atoms, and they could figure out how much energy could be released if you could do the conversion between different types of atoms, he said, noting that the experts always stressed the idea was theoretical. And then it happened and they werent ready for it.

The use of AI in military applications such as small anti-personnel weapons is of particular concern, he said. Those are the ones that are very easily scalable, meaning you could put a million of them in a single truck and you could open the back and off they go and wipe out a whole city, said Russell.

Russell believes the future for AI lies in developing machines that know the true objective is uncertain, as are our preferences, meaning they must check in with humans rather like a butler on any decision. But the idea is complex, not least because different people have different and sometimes conflicting preferences, and those preferences are not fixed.

Russell called for measures including a code of conduct for researchers, legislation and treaties to ensure the safety of AI systems in use, and training of researchers to ensure AI is not susceptible to problems such as racial bias. He said EU legislation that would ban impersonation of humans by machines should be adopted around the world.

Russell said he hoped the Reith lectures would emphasise that there is a choice about what the future holds. Its really important for the public to be involved in those choices, because its the public who will benefit or not, he said.

But there was another message, too. Progress in AI is something that will take a while to happen, but it doesnt make it science fiction, he said.

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Yeah, were spooked: AI starting to have big real-world impact, says expert - The Guardian

Oct. 29, 2021 NCSA is pleased to announce the appointment of Dr. Vlodomyr Kindratenko as Director of the Center for Artificial Intelligence Innovation(CAII). In this new role, he will be responsible for providing the overall leadership, oversight and management of the center, including developing partnerships and projects at regional and national levels, and overseeing day-to-day operations. Dr. Kindratenko will also be fostering and actively participating in a vigorous research program, with responsibilities for which he is especially adept thanks to his prior experience.

NCSA Engagement Director John Towns says Dr. Kindratenko, a seasoned NCSA researcher with prior NCSA leadership experience, is poised to expand the CAIIs ability to forge new relationships while strengthening existing ones.

Vlad comes into this role transitioning from another NCSA leadership role and as the former lead for the NCSA Innovative Systems Lab, Towns says. He has deep connections with campus with a history of collaboration and teaching. We look forward to expanding and deepening those relationships with a focus on the development of AI methods and applications of them to academic and industry challenges.

In addition to his role at NCSA, Dr. Kindratenko maintains positions as adjunct associate professor in theDepartment of Electrical and Computer Engineeringand a research associate professor in theDepartment of Computer Scienceat theUniversity of Illinois Urbana-Champaign. He currently serves as a department editor of IEEE Computing in Science and Engineering magazine and an associate editor of the International Journal of Reconfigurable Computing. Dr. Kindratenkos work has been funded by the National Science Foundation, NASA, Office of Naval Research, Department of Energy, and industry. He has published over 70 papers in peer-reviewed scientific journals and conference proceedings and holds five U.S. patents. He is a senior member of theInstitute of Electrical and Electronics Engineers(IEEE) andAssociation for Computing Machinery(ACM).

Dr. Kindratenkos research interests include high-performance computing, special-purpose computing architectures, cloud computing and machine learning. His combined interest and experience will contribute to his ability to facilitate collaboration across multiple disciplines and support advancements in AI, leveraging NCSAs cutting-edge technology and expertise.

I am very excited to become the CAII Director, and I am looking forward to growing the Center within NCSA and connecting it with the AI-related activities carried out by the UofI faculty, Kindratenko says. Main goals for the Center include finding ways to bring together the U of I AI research community for a chance to collaborate while aligning academic research with industry challenges and opportunities, and providing students with ways to learn and work in the AI domain. The Center will also partner with leading researchers and technology developers to bring state-of-the-art AI capabilities to the UofI research community.

About NCSA

TheNational Center for Supercomputing Applicationsat theUniversity of Illinois at Urbana-Champaignprovides supercomputing and advanced digital resources for the nations science enterprise. At NCSA, University of Illinois faculty, staff, students and collaborators from around the globe use these resources to address research challenges for the benefit of science and society. NCSA has been advancing many of the worlds industry giants for over 35 years by bringing industry, researchers and students together to solve grand challenges at rapid speed and scale.

Source: NCSA

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Vlodomyr Kindratenko Named Director of the Center for Artificial Intelligence Innovation at NCSA - HPCwire

When it comes to artificial intelligence, don't try to go it alone. IT departments, no matter how skilled and ready developers and data scientists may be, can only go so far past proofs of concept. It takes people --from all corners of the enterprise and working collaboratively -- to deliver AI success,

In discussing lessons learned about AI in recent years, industry experts point to the need to get the people from across the enterprise on board. "A copious amount of training data and elastic compute power are not the cornerstones for successful AI implementations," saysSreedhar Bhagavatheeswaran, global head of Mindtree Consulting.

That cornerstone of AI success is people -- not only AI skills, but involvement from all disciplines, from marketing to supply chain management. In recent years -- and especially over the past year, as the need for automated or unattended processes accelerated, "enterprises learned that they must get stakeholder buy-in, with a true champion for AI within the organization's leadership team," saysDan Simion, VP of AI and analytics at Capgemini Americas.

A concerted AI development and deployment effort also needs "strong governance, internal marketing within the company, and proper training to fuel further adoption of the AI initiatives across the business' functional areas," he adds. The key is being able to showcase the valuable insights being generated by these models,

In efforts to make AI pervasive, "enterprises are now conscious of critical factors such as identifying the right journeys and use cases where AI intervention can make a business impact, operationalizing AI by establishing an AI operations and governance mechanisms, and blending the right proportion of data engineering and AI talent," says Bhagavatheeswaran.

The catch, of course, is many of these efforts get undermined by organizational politics, or simple inertia. AI seems glamorous and promising, but acceptance and adoption takes time. "Companies should plan for the time and effort needed to conduct training sessions, and continuously reinforce the use and benefits of the AI system over the traditional methods," advises Nitin Aggarwal, vice president data analytics at The Smart Cube. "Sharing and celebrating small and frequent wins is a proven catalyst."

AI also needs to have a friendly face, rather than perceptions of robots, software or otherwise, taking the reins of the company. "Make the end user interface business-friendly and intuitive," Aggarwal suggests. "The lower the burden on the end user to understand the insights in terms of 'so what,' the higher the chances of them actually using the system." If possible, he advises having an MLOps team on hand "to ensure the deployed solutions continue to work as expected."

To date, the areas of the business having the most success with AI "are those with direct connections to customer interactions -- such as marketing and sales," says Simion. "These areas are constantly looking to drive revenue, and are more open to innovative new methods and tactics to improve efficiencies, which AI offers." Aggarwal agrees, noting that areas seeing the most initial success with AI include "marketing mix optimization, pricing and promotions ROI improvement, demand forecasting, CRM and hyper-personalization." Lately however, AI's power has also been turned on areas such as supply chain risk management, he adds.

AI is more than technology -- it's new ways of thinking about problems and opportunities. Everyone needs to have access to this powerful new tool, Simion urges. "Make sure everyone across the enterprise is using the same technology stack, so each functional area can have access to the same lessons and insights. Consistency of the technology and the value it can bring is what makes the most difference."

AI adoption also hinges on perceptions that it is fair and accurate, making fighting AI bias is another challenge proponents need to address head-on. Start with the data, Aggarwal states. "As AI algorithms learn from data, make a conscious effort for collecting and feeding richer data, that is corrected for bias and is fairly representative of all classes," he advises.

In most cases, "when you deploy AI models into production at scale, you have automatic tools to monitor the results in real-time," says Simion. "When the AI models are outside of their pre-set boundaries and limits, human intervention is necessary. This is done to ensure AI is performing as expected to drive efficiencies for the business, and it also is done to ensure any issues with AI bias or trust are caught and corrected."

It's critical that humans be kept in the loop, says Aggarwal. "Sometimes human decision making alongside the algorithm is helpful to understand different responses and identify any inherent errors or biases. Human judgement can bring in more awareness, context, understanding and research ability to guide fair decision making. Debiasing should be looked at as an ongoing commitment."

As part of this, companies may benefit by establishing an "AI governance council that reviews not only the business results influenced by their AI initiatives, but is also responsible for explaining the results of specific use cases when needed," says Bhagavatheeswaran.

IT leaders and staff need to receive more training and awareness to alleviate AI bias as well. "It also ties into how staff performance is evaluated and how incentives are aligned," says Aggarwal. "If creating the most accurate AI system is the key result area for a data scientist, chances are that you will get a highly accurate system but one, which may not be the most responsible. Similarly, for all staff, an important training should be on where to look for and how to detect biases in AI, and then reward teams who are able to find and recognize flaws."

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Humans in the loop: it takes people to ensure artificial intelligence success - ZDNet

When Yuval Noah Harari published his first book, "Sapiens," in 2014 about the history of the human species, it became a global bestseller, and turned the little-known, Israeli history professor into one of the most popular writers and thinkers on the planet. But when we met with Harari in Tel Aviv this summer, it wasn't our species' past that concerned him, it was our future. Harari believes we may be on the brink of creating not just a new, enhanced species of human, but an entirely new kind of being - one that is far more intelligent than we are. It sounds like science fiction, but Yuval Noah Harari says it's actually much more dangerous than that.

Anderson Cooper: You said, "We are one of the last generations of Homo sapiens. Within a century or two, Earth will be dominated by entities that are more different from us than we are different from chimpanzees."

Yuval Noah Harari: Yeah.

Anderson Cooper: What the hell does that mean? That freaked me out.

Yuval Noah Harari: You know we will soon have the power to re-engineer our bodies and brains, whether it is with genetic engineering or by directly connecting brains to computers, or by creating completely non-organic entities, artificial intelligence which is not based at all on the organic body and the organic brain. And these technologies are developing at break-neck speed.

Anderson Cooper: If that is true, then it creates a whole other species.

Yuval Noah Harari: This is something which is way beyond just another species.

Yuval Noah Harari is talking about the race to develop artificial intelligence, as well as other technologies like gene editing - that could one day enable parents to create smarter or more attractive children, and brain computer interfaces that could result in human/machine hybrids.

Anderson Cooper: What does that do to a society? It seems like the rich will have access whereas others wouldn't.

Yuval Noah Harari: One of the dangers is that we will see in the coming decades a process of-- of s-- of-- greater inequality than in any previous time in history because for the first time, it will be real biological inequality. If the new technologies are available only to the rich or only to people from a certain country then Homo sapiens will split into different biological castes because they really have different bodies and-- and different abilities.

Harari has spent the last few years lecturing and writing about what may lie ahead for humankind.

Harari at Davos in 2018: In the coming generations we will learn how to engineer bodies and brains and minds.

He has written two books about the challenges we face in the future -- "Homo Deus" and "21 Lessons for the 21st Century" -- which along with "Sapiens" have sold more than 35 million copies and been translated into 65 languages. His writings have been recommended by President Barack Obama, as well as tech moguls, Bill Gates, and Mark Zuckerberg.

Anderson Cooper: You raise warnings about technology. You're also embraced by a lot of folks in Silicon Valley.

Yuval Noah Harari: Yeah.

Anderson Cooper: Isn't that sort of a contradiction?

Yuval Noah Harari: They are a bit afraid of their own power. That they have realized the immense influence they have over the world, over the course of evolution, really. And I think that spooks at least some of them. And that's a good thing. And this is why they are kind of to some extent open to listening.

Anderson Cooper: You started as a history professor. What do you call yourself now?

Yuval Noah Harari: I'm still a historian. But I think history is the study of change, not just the study of the past. But it covers the future as well.

Harari got his Ph.D. in history at Oxford, and lives in Israel, where the past is still very present. He took us to an archeological site called Tel Gezer.

Harari says cities like this were only possible because about 70,000 years ago our species - Homo sapiens - experienced a cognitive change that helped us create language, which then made it possible for us to cooperate in large groups and drive Neanderthals and all other less cooperative human species into extinction.

Harari fears we are now the ones at risk of being dominated, by artificial intelligence.

Yuval Noah Harari: Maybe the biggest thing that we are facing is really a kind of evolutionary divergence. For millions of years, intelligence and consciousness went together. Consciousness is the ability to feel things, like pain and pleasure and love and hate. Intelligence is the ability to solve problems. But computers or artificial intelligence, they don't have consciousness. They just have intelligence. They solve problems in a completely different way than us. Now in science fiction, it's often assumed that as computers will become more and more intelligent, they will inevitably also gain consciousness. But actually, it's-- it's much more frightening than that in a way they will be able to solve more and more problems better than us without having any consciousness, any feelings.

Anderson Cooper: And they will have power over us?

Yuval Noah Harari: They are already gaining power over us.

Some lenders routinely use complex artificial intelligence algorithms to determine who qualifies for loans and global financial markets are moved by decisions made by machines analyzing huge amounts of data in ways even their programmers don't always understand.

Harari says the countries and companies that control the most data will in the future be the ones that control the world.

Yuval Noah Harari: Today in the world, data is worth much more than money. Ten years ago, you had these big corporations paying billions and billions for WhatsApp, for Instagram. And people wondered, "Are they crazy? Why do they pay billions to get this application that doesn't produce any money?" And the reason why? Because it produced data.

Anderson Cooper: And data is the key?

Yuval Noah Harari: The world is increasingly kind of cut up into spheres of-- of data collection, of data harvesting. In the Cold War, you had the Iron Curtain. Now we have the Silicon Curtain between the USA and China. And where does the data go? California or does it go to Shenzhen and to Shanghai and to Beijing?

Harari is concerned the pandemic has opened the door for more intrusive kinds of data collection, including biometric data.

Anderson Cooper: What is biometric data?

Yuval Noah Harari: It's data about what's happening inside my body. What we have seen so far. It's corporations and governments collecting data about where we go, who we meet, what movies we watch. The next phase is surveillance going under our skin.

Anderson Cooper: I'm wearing a, like a tracker that tracks my heart rate, my sleep. I don't know where that information is going.

Yuval Noah Harari: You wear the KGB agent on your wrist willingly.

Anderson Cooper: And I think it's benefiting me.

Yuval Noah Harari: And it is benefiting you. I mean, the whole thing is that it's not just dystopian. It's also utopian. I mean, this kind of data can also enable us to create the best health care system in history. The question is what else is being done with that data? And who supervises it? Who regulates it?

Earlier this year, the Israeli government gave its citizens' health data to Pfizer to get priority access to their vaccine. The data did not include individual citizens' identities.

Anderson Cooper: So what does Pfizer want the data of all Israelis for?

Yuval Noah Harari: Because to develop new medicines, new treatments you need the medical data. Increasingly, that's the basis for how-- for medical research. It's not all bad.

Harari has been criticized for pointing out problems without offering solutions, but he does have some ideas about how to limit the misuse of data.

Yuval Noah Harari: One key rule is that if you get my data, the data should be used to help me and not to manipulate me. Another key rule, that whenever you increase surveillance of individuals you should simultaneously increase surveillance of the corporation and governments and the people at the top. And the third principle is that, never allow all the data to be concentrated in one place. That's the recipe for a dictatorship.

Harari speaking at The Future of Education: Netflix tells us what to watch and Amazon tells us what to buy. Eventually within 10 or 20 or 30 years such algorithms could also tell you what to study at college and where to work and whom to marry and even whom to vote for.

Without greater regulation, Harari believes we are at risk of becoming what he calls "hacked humans."

Anderson Cooper: What does that mean?

Yuval Noah Harari: To hack a human being is to get to know that person better than they know themselves. And based on that, to increasingly manipulate you This outside system, it has the potential to remember everything. Everything you ever did. And to analyze and find patterns in this data and to get a much better idea of who you really are. I came out as gay when I was 21. It should've been obvious to me when I was 15 that I'm gay. But something in the mind blocked it. Now, if you think about a teenager today, Facebook can know that they are gay or Amazon can know that they are gay long before they do just based on analyzing patterns.

Anderson Cooper: And based on that, you can tell somebody's sexual orientation?

Yuval Noah Harari: Completely. And what does it mean if you live in Iran or if you live in Russia or in some other homophobic country and the police know that you are gay even before you know it?

Anderson Cooper: When people think about data they think about companies finding out what their likes and dislikes are but the data that you're talking about goes much deeper than that?

Yuval Noah Harari: Like, think in 20 years when the entire personal history of every journalist, every judge, every politician, every military officer is held by somebody in Beijing or in Washington? Your ability to manipulate them is like nothing before in history.

Harari lives outside Tel Aviv with his husband, Itzik Yahav. They have been together for nearly 20 years. It was Yahav who read Harari's lecture notes for a history course and convinced him to turn them into his first book "Sapiens."

Itzik Yahav: I read the lessons. I couldn't stop talking about it. For me, it was clear that it could be a huge bestseller.

Yahav is now Harari's agent, and together they started a company called Sapienship. They are creating an interactive exhibit that will take visitors through the history of human evolution and challenge them to think about the future of mankind.

Harari also just published the second installment of a graphic novel based on "Sapiens." And he's teaching courses at Israel's Hebrew University in ethics and philosophy for computer scientists and bioengineers.

Harari teaching: When people write code, they are reshaping politics and economics and ethics, and the structure of human society.

Anderson Cooper: When I think of coders and engineers, I don't think of philosophers and poets.

Yuval Noah Harari: It's not the case now, but it should be the case because they are increasingly solving philosophical and poetical riddles. If you're designing, you know, a self-driving car, so the self-driving car will need to make ethical decisions. Like suddenly, a kid jumps in front of the car. And the only way to-- to-- to prevent running over the kid is to swerve to the side and be hit by a truck. And your own-owner who is asleep in the backseat will-- might be killed. You need to tell the algorithm what to do in this situation. So you need to actually solve the philosophical question, who to kill.

Last month the United Nations suggested a moratorium on artificial intelligence systems that seriously threaten human rights until safeguards are agreed upon, and advisers to President Biden are proposing what they call a "bill of rights" to guard against some of the new technologies. Harari says just as Homo sapiens learned to cooperate with each other many thousands of years ago, we need to cooperate now.

Yuval Noah Harari: Certainly. Now, we are at the point when we need global cooperation. You cannot regulate the explosive power of artificial intelligence on a national level. I'm not trying to kind of prophesy what will happen. I'm trying to warn people about the most dangerous possibilities, in the hope that we will do something in the present to prevent them.

Produced by Denise Schrier Cetta. Associate producer, Katie Brennan. Broadcast associate, Annabelle Hanflig. Edited by Stephanie Palewski Brumbach.

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CHICAGO, Oct. 29, 2021 /PRNewswire/ -- According to the new market research report "Artificial Intelligence in Healthcare Market by Offering (Hardware, Software, Services), Technology (Machine Learning, NLP, Context-aware Computing, Computer Vision), Application, End User and Geography - Global Forecast to 2027", published by MarketsandMarkets, the market is projected to grow from USD 6.9 billion in 2021 to USD 67.4 billion by 2027; it is expected to grow at a CAGR of 46.2%from 2021 to 2027.

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The key factors fueling the growth of the market include market influx of large and complex healthcare datasets, growing need to reduce healthcare costs, improving computing power and declining hardware cost, rising number of partnerships and collaborations among different domains in healthcare sector, and surging need for improvised healthcare services due to imbalance between health workforce and patients. Additionally, growing potential of AI-based tools for elderly care, increasing focus on developing human-aware AI systems, and rising potential of AI technology in genomics, drug discovery, and imaging & diagnostics to fight COVID-19 is expected to create a growth opportunity for the artificial intelligence in healthcare market.

The software segment is projected to account for the largest share of the artificial intelligence in healthcare market during the forecast period.

Many companies are developing software solutions for various healthcare applications; this is the key factor complementing the growth of the software segment. Strong demand among software developers (especially in medical centers and universities) and widening applications of AI in the healthcare sector are among the prime factors complementing the growth of the AI platform within the software segment. Google AI Platform, TensorFlow, Microsoft Azure, Premonition, Watson Studio, Lumiata, and Infrrd are some of the top AI platforms.

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The market for machine learning segment is expected to grow at the highest CAGR during the forecast period

The increasing adoption of machine learning technology (especially deep learning) in various healthcare applications such as inpatient monitoring & hospital management, drug discovery, medical imaging & diagnostics, and cybersecurity is driving the adoption of machine learning technology in the AI in healthcare market.

The medical imaging & diagnostics segment is expected to grow at the highest CAGR of the artificial intelligence in healthcare market during the forecast period.

The high growth of the medical imaging and diagnostics segment can be attributed to factors such as the presence of a large volume of imaging data, advantages offered by AI systems to radiologists in diagnosis and treatment management, and the influx of a large number of startups in this segment.

North America region is expected to hold the largest share of artificial intelligence in healthcare market during the forecast period.

Increasing adoption of AI technology across the continuum of care, especially in the US, and high healthcare spending combined with the onset of COVID-19 pandemic accelerating the adoption of AI in hospital and clinics across the region are the major factors driving the growth of the North American market.

The key players operating in the artificial intelligence in healthcare market include Intel (US), Koninklijke Philips (Netherlands), Microsoft (US), IBM (US), and Siemens Healthineers (Germany).

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A world-renowned historian and philosopher is warning that humanity needs to begin regulating artificial intelligence and data collection globally or risk being hacked.

In an upcoming interview with CBSs 60 Minutes, bestselling author Yuval Harari said the nations and large corporations that control the biggest share of data on consumers will control the world in the future, noting that the raw data is worth much more than money.

The world is increasingly kind of cut up into spheres of data collection, of data harvesting. In the Cold War, you had the Iron Curtain. Now we have the Silicon Curtain, that the world is increasingly divided between the USA and China, Harari told Anderson Cooper.

Harari said the increasing sophistication of AI used in algorithms concentrated in the hands of a powerful few could ultimately result in the manipulation of people.

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Netflix tells us what to watch and Amazon tells us what to buy. Eventually within 10 or 20 or 30 years such algorithms could also tell you what to study at college and where to work and whom to marry and even whom to vote for, Harari told Cooper.

To hack a human being is to get to know that person better than they know themselves. And based on that, to increasingly manipulate you, he said.

Harari emphasized the need for countries to work together to put concrete regulations in place to avoid such a scenario and ensure data and AI arent used to exercise control over the public.

One of his recommendations is to make sure the data isnt consolidated in place, adding Thats a recipe for a dictatorship.

The author noted the rise of AI can also be incredibly beneficial to society, but the question is what is being done with it and who regulates it.

Harari is the author of the 2014 global bestseller Sapiens.

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H2O AI Feature Store, currently in production use at AT&T, delivers a repository for collaborating, sharing, reusing and discovering machine learning features to speed AI project deployments, improve ROI and is now available to any company or organization

DALLAS and MOUNTAIN VIEW, Calif., Oct. 28, 2021 /PRNewswire/ --

What's the news? AT&T and H2O.ai jointly built an artificial intelligence (AI) feature store to manage and reuse data and machine learning engineering capabilities. The AI Feature Store houses and distributes the features data scientists, developers and engineers need to build AI models. The AI Feature Store is in production at AT&T, meeting the high levels of performance, reliability and scalability required to meet AT&T's demand. Today, AT&T and H2O.ai are announcing that the same solution in production at AT&T, including all its industry-first capabilities, will now be available as the "H2O AI Feature Store" to any company or organization.

What is a feature store? Data scientists and AI experts use data engineering tools to create "features," which are a combination of relevant data and derived data that predict an outcome (e.g., churn, likely to buy, demand forecasting). Building features is time consuming work, and typically data scientists build features from scratch every time they start a new project. Data scientists and AI experts spend up to 80% of their time on feature engineering, and because teams do not have a way to share this work, the same work is repeated by teams throughout the organization. Also, it is important that features are available for both training and real-time inference to avoid training-serving skew which causes model performance problems and contributes to project failure. Feature stores allow data scientists to build more accurate features and deploy these features in production in hours instead of months. Until now there weren't places to store and access features from previous projects. As data and AI are and will continue to be important to every business, demand is growing to make these features reusable. Feature stores are seen as a critical component of the infrastructure stack for machine learning because they solve the hardest problem with operationalizing machine learningbuilding and serving machine learning data to production.

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How is AT&T using its feature store? AT&T carries more than 465 petabytes of data traffic across its global network on an average day. When you add in the data generated internally from our different applications, in our stores, among our field technicians, and across other parts of our business, turning data into actionable intelligence as quickly as possible is vital to our success. AT&T's implementation of the AI Feature Store has been instrumental in helping turn this massive trove of data into actionable intelligence.

Who will use the H2O AI Feature Store? We know other organizations feel the same way about making their own data actionable. H2O.ai, the leading AI cloud platform provider, has co-developed the feature store with us, and now together we are offering the production-tested feature store as a software platform for other companies and organizations to use with their own data. From financial services to health organizations and pharmaceutical makers, retail, software developers and more, we know the demand for reliable, easy-to-use, and secure feature stores is booming. Any organization currently using AI or planning to use AI will want to consider the value of a feature store. We expect customers to use the H2O AI Feature Store for forecasting, personalization and recommendation engines, dynamic pricing optimization, supply chain optimization, logistics and transportation optimization, and more. We are using the feature store at AT&T for network optimization, fraud prevention, tax calculations and predictive maintenance.

The H2 AI Feature Store includes industry-first capabilities, including integration with multiple data and machine learning pipelines, which can be applied to an on-premise data lake or by leveraging cloud and SaaS providers.

The H2O AI Feature Store also includes Automatic Feature Recommendations, an industry first, which let data scientists select the features they want to update and improve and receive recommendations to do so. The H2O AI Feature Store recommends new features and feature updates to improve the AI model performance. The data scientists review the suggested updates and accept the recommendations they want to include.

What are people saying?

"Feature stores are one of the hottest areas of AI development right now, because being able to reuse and repurpose data engineering tools is critical as those tools become increasingly complex and expensive to build," said Andy Markus, Chief Data Officer, AT&T. "These storehouses are vital not only to our own work, but to other businesses, as well. With our expertise in managing and analyzing huge data flows, combined with H2O.ai's deep AI expertise, we understand what business customers are looking for in this space and our Feature Store offering meets this need."

"Data is a team sport and collaboration with domain experts is key to discovering and sharing features. Feature Stores are the digital 'water coolers' for data science," said Sri Ambati, CEO and founder of H2O.ai. "We are building AI right into the Feature Store and have taken an open, modular and scalable approach to tightly integrate into the diverse feature engineering pipelines while preserving sub-millisecond latencies needed to react to fast-changing business conditions. AI-powered feature stores focus on discoverability and reuse by automatically recommending highly predictive features to our customers using FeatureRank. AT&T has built a world-class data and AI team and we are privileged to collaborate with them on their AI journey."

To learn more about H2O AI Feature Store please visit http://www.h2o.ai/feature-store and sign up to join our preview program or for a demo.

Please join AT&T and H2O.ai on October 28th at 2:00 PT CT at AT&T Business Summit for a discussion on the future of AI as a Service. Register at https://register-bizsummit.att.com

*About AT&T CommunicationsWe help family, friends and neighbors connect in meaningful ways every day. From the first phone call 140+ years ago to mobile video streaming, we @ATT innovate to improve lives. AT&T Communications is part of AT&T Inc. (NYSE:T). For more information, please visit us at att.com.

*About H2O.aiH2O.ai is the leading AI cloud company, on a mission to democratize AI for everyone. Customers use the H2O AI Hybrid Cloud platform to rapidly solve complex business problems and accelerate the discovery of new ideas. H2O.ai is the trusted AI provider to more than 20,000 global organizations, including AT&T, Allergan, Bon Secours Mercy Health, Capital One, Commonwealth Bank of Australia, GlaxoSmithKline, Hitachi, Kaiser Permanente, Procter & Gamble, PayPal, PwC, Reckitt, Unilever and Walgreens, over half of the Fortune 500 and one million data scientists. Goldman Sachs, NVIDIA and Wells Fargo are not only customers and partners, but strategic investors in the company. H2O.ai's customers have honored the company with a Net Promoter Score (NPS) of 78 the highest in the industry based on breadth of technology and deep employee expertise. The world's top 20 Kaggle Grandmasters (the community of best-in-the-world machine learning practitioners and data scientists) are employees of H2O.ai. A strong AI for Good ethos to make the world a better place and Responsible AI drive the company's purpose. Please join our movement at http://www.h2O.ai.

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