Over the last few years, there has been a good amount of hype aroundArtificial Intelligence(AI), where companies have been using it to drive up their valuations. ButAIis a broad definition that includes everything from statistical analysis to software todeep 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’, hostPeter Richardsonis joined byRichard Windsor, a research director at large at Counterpoint Research and also the founder and owner of research companyRadio 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 theCOVID-19pandemic 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