#141 How Data Science is Transforming the NBA

AI agents are getting easier to build and connect. Open standards now let them discover each other, pass messages and use shared tools. But connecting agents is not the same as getting them to work toward the same goal, and research on multi-agent systems shows that misalignment ...  Show more

Career goals in data have shifted quickly. Data scientist was long the default target, but AI engineer has appeared from almost nowhere, and companies are moving training toward AI literacy, agents, and prompt engineering. Certifications are becoming a common way to prove these s ...  Show more

We explore the quantitative, scientific, and data-driven new frontier of coaching. Major League baseball is undergoing a coaching revolution from old-school to new tech. We talk to players whose careers were turned around not by a charismatic coach, but by data, and the techies w ...  Show more

In this episode, Alex Sarama is joined by Zico Coronel and Adam Omiecinski to discuss the alignment of principles of play with an ecological approach to skill acquisition. They delve into the concept of coverage solutions in basketball and how they can be enhanced through a compr ...  Show more

Seth Stephens-Davidowitz is a data scientist, economist and author. Basketball is one of the most popular sports on the planet. Seth has used advanced AI to statistically analyse everything about the players, their backgrounds, hand-span, height, first names and more to uncover s ...  Show more

Data science is huge in sports, and it's not just game stats anymore.  Player and ball tracking data are changing the way major sports leagues play games.

We dive into how these data are analyzed and what the results mean to coaches and teams with Kirk Goldsberry, NBA a ...