Devvret Rishi on Powering Real-World AI with Declarative AI and Open Source
In this episode, Frank sits down and talks with Devvret Rishi on powering real-world AI projects with declarative ML and the importance of open source. Andy was not able to attend this recording, but will be back next week! Show Notes 04:36 Build, train, serve, deploy; critical data engineering link. 07:24 Model configuration for input…
Max Sklar on Exploring AI, Data Science, and Local Search
In today’s episode, the hosts Frank La Vigne and Andy Leonard are joined by the expert in location data and machine learning, Max Sklar. Max shares insights from his decade-long tenure at Foursquare, delving into the company’s evolution, gamification features, the challenges faced in the local search space, and his early interest in location data.…
New Year in November, Podcast Backlog, and Scheduling Issues
Steve Orrin on the Importance of Hardware in AI Development
On this episode of Data Driven, the focus is on hardware from AI optimized chips to edge computing. Frank and Andy interview Steven Orrin, the CTO of Intel Federal. Intel has developed new CPU instructions to accelerate AI workloads, and FPGAs allow for faster development in custom applications with specific needs. The speaker emphasizes the…
*DataPoint* Accelerating AI with Python-native Ray and the Importance of Open Source in AI
On this episode of Data Driven, we explore the topic of distributed computing frameworks for AI and ML workloads. Frank discusses the advancements of Ray, a new technology based on Python language, with performance enhancements that could range from 10-12 times faster to thousands of times faster in extreme cases. We delve into the power…