AWS names 6 key trends driving machine learning innovation and adoption

Check out the on-demand sessions from the Low-Code/No-Code Summit to learn how to successfully innovate and achieve efficiency by upskilling and scaling citizen developers. Machine learning (ML) has undergone rapid transformation and adoption in recent years, driven by a number of factors. There is no shortage of opinions about why artificial intelligence (AI) and ML are growing. A recent report from McKinsey identified industrializing ML and applied AI as among its top trends for the year. In a session at the AWS re:Invent conference this week, Bratin Saha, VP and GM of AI and machine learning at Amazon, outlined the six key trends the cloud giant is seeing that are helping to drive innovation and adoption in 2022 and beyond.