'The Five' co-hosts weigh in on the creator of ChatGPT raising'major concerns' regarding the implications of how artificial intelligence could change society. Elon Musk's proposed temporary halt in AI development would give China the freedom to surpass the U.S. and develop "the most powerful tool" in the 21st century, according to an industry expert. "We need artificial intelligence to automate and manage so much of the existing technology, as well as open the ability for us to manage a significantly larger population," Sultan Meghji, a professor at Duke University's Pratt Engineering School, told Fox News Digital. "We will not be able to do that without artificial intelligence." "As we consider our global competition with the People's Republic of China and others," Meghji, who served as the first chief innovation officer for the FDIC, argued, "artificial intelligence is the most powerful tool in our toolbox, and I don't want to lose the 21st century to the Chinese."

Companies are constantly asking how to make their processes as digital and efficient as possible. And while there are many approaches to digital transformation, one key approach is artificial intelligence (AI). According to Gartner, most organizations will be using AI-driven data and processes to boost digital transformation within their company by 2022. There are many Hollywood aspects to AI, like flying cars and talking robots. But in reality, AI is much more practical and actionable.

Tech behemoths repeatedly have called the race: Artificial intelligence (AI) has officially entered the mainstream, and it's done so in a resounding fashion. AI is, quite literally, everywhere. A PwC survey found that more than half of respondents accelerated AI efforts due to COVID, with nearly 90 percent indicating they view AI as a mainstream technology. Similarly, an IDC report shows that AI system spending will grow by 140 percent by 2025 - on top of the already massive amount of growth the technology already has experienced. Mainstream indeed, and of course when your favorite technology - like your favorite band - goes mainstream, there's good and bad that comes along with it.

In this interview, News-Medical speaks to Zoë Thomson, Co-founder and Chief Innovation Officer of LUCID, about how music and machine learning are changing how we approach mental and neuropsychiatric health. I was motivated to begin this work because, through my background as a biomedical engineer and researcher, I observed an abundance of technical capabilities in this current age around biosignals and artificial intelligence (AI). I was interested in how these tools could be leveraged to deliver more personalized and effective care. I didn't see these capabilities fully instantiated within the mental health care paradigm, which is relatively "one-size-fits-all," while the stigma around traditional interventions like medication and therapy continues to limit access to care. As a result, I saw a real need for novel approaches to mental health interventions.

This article was contributed by Oliver Schabenberger, chief innovation officer at Singlestore. Microsoft CEO Satya Nadella coined the term tech intensity, a combination of technology adoption and technology creation. Companies can accelerate their growth by first adopting best-in-class technology and then building their own unique digital capabilities. Over the past decades, technology innovation has followed a familiar pattern towards digital transformation in almost every industry or application area. Connecting has evolved from building roads and railroad tracks to wiring between computers to software-defined networking.

The 2020 Breakthrough Days event aims to generate and fuel meaningful projects in each of this year's three AI for Good Global Summit domains – Gender, Food, and Pandemics – that will advance progress on the UN Sustainable Development Goals (SDGs). Hear from keynote speakers and participate in interactive workshops designed to launch solutions to some of the world's greatest challenges. "Beneficial AI to advance SDGs" Keynote Speaker: Stuart Russell, Professor of Computer Science at UC Berkeley Moderator: Amir Banifatemi, Chief Innovation Officer, XPRIZE; Chair of the AI for Good Programme Committee In an effort to allow teams to prepare for main stage presentations on Monday and Tuesday, we have designated Friday 25 September as a time for teams and attendees to converse individually. Please use the AI for Good workspace on Slack to continue the conversation. Join us on Monday 28 September as we hear from teams in each of this year's AI for Good Breakthrough Track "What is AI for Good Anyway?" Keynote Speaker: Sasha Luccioni, Postdoctoral Researcher – AI for Humanity, Université de Montréal, Mila – Quebec AI Institute Moderator: Amir Banifatemi, Chief Innovation Officer, XPRIZE; Chair of the AI for Good Programme Committee Keynote Address Keynote Speaker: Peter H. Diamandis, entrepreneur, founder and executive chairman of the XPRIZE Foundation, Bestselling author of "Abundance – The Future Is Better Than You Think" Moderator: Amir Banifatemi, Chief Innovation Officer, XPRIZE; Chair of the AI for Good Programme Committee Interested individuals and teams from around the world have submitted project ideas to the Gender, Food and Pandemics Breakthrough Tracks. After being mentored by world-renowned experts and Brain Trusts, the top three finalists in each domain have been selected to present their project proposals in a series of interactive workshops during the Breakthrough Days event.

Sometimes it just takes a simple, provocative statement to kick-off the innovation process – to remove an everyday given like driving a car or possessing a landline phone or centralizing all of your data in the cloud – to fuel the innovation process. Henrik Christensen, director of University San Diego's Contractual Robotics Institute, issued such a provocative statement: "My own prediction is that kids born today will never get to drive a car." I have recently been promoted to Chief Innovation Officer at Hitachi Vantara. I am very excited about the opportunity to build upon my work to interweave data science, design thinking, value engineering and economics to create a "Pathway to Analytics-driven Innovation" map that helps organizations derive and drive new sources of customer, product and operational value. Think of the "Pathway to Analytics-driven Innovation" as a maturity model that measures how effective organizations are at leveraging analytics to deliver innovative products and services to the market.

With the likes of Uber, Amazon, and Deliveroo changing the way we live, shop, work and consume content, innovation is happening faster than ever before. In light of economic uncertainty, it's become even more vital for businesses to deploy cutting-edge technology to maintain competitiveness. Over the course of the next year, board-level conversations will be dominated by ways to ensure a seamless customer experience, formulating tactics to embrace disruptive technologies, as well as grappling with the implications of the future workplace. Consumers can now order a meal, book a taxi and do their shopping with a few clicks of a button, without even leaving their living rooms. As a result, customers are increasingly expecting services to be'Apple Easy' and'Google Fast' in all aspects of their lives, demanding quick and seamless experiences across the board.

I love watching the NBA's Golden State Warriors play basketball. Their offensive "improvisation" is a thing of beauty in their constant ball movement in order to find the "best" shot. The coordinated decision-making is truly a thing of beauty, but here's the challenge: how would you "scale" the Warriors? You can't just add another player to the mix – even a perennial all-star like Boogie Cousins – and have the same level of success. One of the biggest challenges in this age of Digital Transformation is how are organizations going to exploit new technologies such as IoT and AI to "scale innovation?"

New York (CNN Business)Artificial intelligence and machine learning might sound like the stuff of sci-fi movies. But hedge funds, major banks and private equity firms are already deploying next-generation technologies to gain an edge. Citigroup (C) uses machine learning to make portfolio recommendations to clients. High-frequency trading firms rely on machine learning tools to rapidly read and react to financial markets. And quant shops like PanAgora Asset Management have developed complex algorithms to test sophisticated investment ideas.