Key AI and Data Trends for 2021

In this episode of the Data Exchange, our special correspondent and editor Jenn Webb organized a mini-panel composed of myself and my podcast co-organizer Mikio Braun. We began our conversation by taking a look back at some of our predictions from last year which included applications of reinforcement learning, end-to-end machine learning platforms, and more. This year we organized trends in the following categories:Tools for building and managing machine learning and AI applications.Foundational data technologies.(Cloud) Computing and Hardware.Emerging trends in AI.This episode provides a sneak peak to a formal report that comes out in early 2021. Sign-up here and we will send you a copy of our 2021 Trends Report as soon as it comes out.Subscribe: Apple • Android • Spotify • Stitcher • Google • RSS.Detailed show notes can be found on The Data Exchange web site.Subscribe to The Gradient Flow Newsletter.

Om Podcasten

A series of informal conversations with thought leaders, researchers, practitioners, and writers on a wide range of topics in technology, science, and of course big data, data science, artificial intelligence, and related applications. Anchored by Ben Lorica (@BigData), the Data Exchange also features a roundup of the most important stories from the worlds of data, machine learning and AI. Detailed show notes for each episode can be found on https://thedataexchange.media/ The Data Exchange podcast is a production of Gradient Flow [https://gradientflow.com/].