Much has happened in artificial intelligence (AI) this year. From NVIDIA NVDA +6.4%, Intel INTC +6.16% and a host of startups announcing new chips focused on both training and run time inference, to announcements of a wide variety of new algorithms, much of the news has been focused on research and academia.
The challenge is to notice what is happening with AI and machine learning (ML) that business can look to for short term adoption to aid in performance. The technologies and techniques of AI and ML are still so new that the main adopters of the techniques are the large software companies able to hire and to invest in the necessary expertise.
Author: David A. Teich