The rise of AI as a copywriter has been made possible with natural language processing tools which create computer-generated writing. These tools are given various parameters on the basis of which they general content i.e. an ad copy, an ad copy for Instagram or a website, an ad for a newspaper and so on. It is proving to be true that, “AI doesn’t feel like AI anymore.”
If you, like us, were glued to your screens all through the Tokyo Olympics you may have experienced the same excitement at the free throw-shooting robot in the arena. The basketball playing Japanese robot, CUE, wowed us all with an impeccable half-court shot and was a showstopper despite the presence of all worthy human players from across the world. The almost seven-foot robot has been developed by the Toyota engineers and works with sensors on its torso while it has a camera near its nose which helps determine the basket angle as well as the distance of the shot. It may be slow and according to a Toyota engineer it will take years before this robot learns to run or dunk, but it has the advantage of not having to deal with stress due to its AI software.
This is not the only instance of the use of AI in the Olympics. Olympic sports have been the torchbearers of the use of tech for the betterment of sports since as long back as 1948 when the Olympics first used an electronic time-keeping equipment by Omega called the Magic Eye camera to track the run time of racers in Olympic games. Cut to Tokyo 2020 Olympics, when Omega still is the official timekeeper of the Olympics, only now, the company uses more sophisticated cameras which come enabled with computer vision to track the movement of the ball along with the beach volleyball players. Omega has, infact, trained its AI to pick different shots and moves. This, coupled with gyroscopic sensors in the clothing of the racers/players give near-perfect information of their movement as well as that of the ball. The combination of these technologies gives an unparalleled data accuracy. Several sports use AI for precision and fairness purposes. In gymnastics AI is used to detect the pose of the athlete and to check how precisely they hit the middle of the mat for example. Road and track cycling benefits from the motion sensor tags on the bikes.In swimming too, image recognition technology and measuring metrics count the number of strokes and determine the live speed of the swimmers and even the distance between them.
The 3D Athlete Tracking (3DAT), which is the result of a collaboration between Intel and Alibaba, uses computer vision and was used at the US Olympic Trials in Eugene for the first time before being incorporated into the Olympics at Tokyo. Another improvement of 3DAT will soon help close the performance gap and this will help elite athletes. 3DAT helps athletes by making them comprehend their body’s real actions when in motion, so that they can tweak their bodily actions to get better and better.
It is safe to say, AI too, wowed us at the Tokyo Olympics. If you have any questions or comments about AI in sports, write to us at firstname.lastname@example.org
It’s most obvious in the digital media space, from click buys to personalized web experiences. For marketing, the AI journey has just kick-started, while in the tech sector it has been applied for a while now. We are still at an early stage where inroads are being made into AI content via chatbots and even some explanatory content creation but what will make anyone jump up and embrace it is when we will start seeing a lot of mainstream content being created by AI.
Prior to joining Infinite Analytics, Richard served as the CFO of CrowdFlower, COO and CFO of Phoenix Technologies, as a member of the board of directors and chairman of the Audit Committee at Intellisync, and previously as CFO and executive vice president strategy and corporate development at Charles Schwab.
Pravin Gandhi has over 50 years of entrepreneurial operational and investing experience in the IT industry in India. He was a founding partner of the first early stage fund India - INFINITY. Subsequently a founding partner in Seedfund I & II. With over 18 years of investing experience, he is extensively well networked in investment and entrepreneurial scene and is an active early stage angel investor in tech & impact space. Pravin holds a BS in Industrial Engineering from Cornell University, and serves on the board of several private corporations in India. He is on the board of SINE, IIT Mumbai Incubator.
Puru has his Masters in Engineering and Management from MIT. Prior to MIT, he worked with Fidelity Investments building electronic trading products and high volume market data processing applications. He has completed his BE from VJTI, Mumbai.
Deb Roy is Professor of Media Arts and Sciences at MIT where he directs the MIT Center for Constructive Communication, and a Visiting Professor at Harvard Law School. He leads research in applied machine learning and human-machine interaction with applications in designing systems for learning and constructive dialogue, and for mapping and analyzing large scale media ecosystems. Deb is also co-founder and Chair of Cortico, a nonprofit social technology company that develops and operates the Local Voices Network to surface underheard voices and bridge divides.
Roy served as Executive Director of the MIT Media Lab from 2019-2021. He was co-founder and CEO of Bluefin Labs, a media analytics company that analyzed the interactions between television and social media at scale. Bluefin was acquired by Twitter in 2013, Twitter’s largest acquisition of the time. From 2013-2017 Roy served as Twitter’s Chief Media Scientist.
Erik Brynjolfsson is the Jerry Yang and Akiko Yamazaki Professor and Senior Fellow at the Stanford Institute for Human-Centered AI (HAI), and Director of the Stanford Digital Economy Lab. He also is the Ralph Landau Senior Fellow at the Stanford Institute for Economic Policy Research (SIEPR), Professor by Courtesy at the Stanford Graduate School of Business and Stanford Department of Economics, and a Research Associate at the National Bureau of Economic Research (NBER).
Akash co-founded IA while studying for his MBA from MIT. Prior to MIT Sloan, he co-founded Zoonga. Before this, Akash was an engineer with Oracle in Silicon Valley. He has completed his M.S from University of Cincinnati and B.E from the College of Engineering, Pune.