#141 How Data Science is Transforming the NBA

Technology is now moving faster than the organizations trying to adopt it. A model can be tested in an afternoon, but the approval to test it can take half a year, and that gap is where most transformation budgets quietly disappear. The structures that made companies safe and pre ...  Show more

Four years into the AI boom, headlines still promise agents that will run entire departments, yet most companies can't point to the transformation they were sold. The gap isn't intelligence — today's models are remarkably capable — it's context: no model arrives knowing how your ...  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 ...