Over the last few years, there has been a good amount of hype around Artificial Intelligence (AI), where companies have been using it to drive up their valuations. But AI is a broad definition that includes everything from statistical analysis to software to deep learning. What are the different categories of AI, and what are the challenges and limitations faced by the companies? We answer these and other questions in this podcast.
As we are almost slipping through another AI winter, there are companies which are actually working on Artificial Intelligence by pushing back the boundaries, and we call them practitioners. Then there are others which base their intelligence on statistics, and we call them pretenders. There is also a third category called “tricksters” which do not do AI at all. So, which categories lead among these companies?
In the latest episode of ‘The Counterpoint Podcast’, host Peter Richardson is joined by Richard Windsor, a research director at large at Counterpoint Research and also the founder and owner of research company Radio Free Mobile. In this episode, Windsor deep-dives into the challenges and shortcomings of Artificial Intelligence and Deep Learning. The discussion also touches upon how the COVID-19 pandemic has impacted the development of AI, especially in sectors where the rules of the game change with social distancing.
You can get Richard’s detailed report here:-
Reality Bytes: AI – Old school