#287 Self-Service Generative AI Product Devel...

Almost every AI agent demo lands in roughly the same place: it works most of the time, looks remarkable, and then fails in a way no one anticipated. Self-driving cars hit this wall a decade ago, and agents are running into it now. For data and AI teams, the question is no longer ...  Show more

The data field has changed shape faster than almost any other. The role that used to be a statistician became a data scientist, became an ML engineer, and is now morphing into AI engineer. Consulting firms are hiring fewer entry-level analysts and more vibe-coders who can ship AI ...  Show more

In this conversation with a16z general partner David George, Scale AI founder and CEO Alexandr Wang discusses the three pillars of AI—models, compute, and data—and how creating abundant data is core to the evolution of gen AI. With Scale’s work across enterprise, automotive, and ...  Show more

Daniele Petecchi didn’t realize how complex the process of producing tires was until he joined Pirelli, a company that’s been in the business of manufacturing tires for more than 150 years. But now, as head of data management and AI, he’s focused on leveraging the company’s wealt ...  Show more

Daliana Liu is a big name in data science teaching, and she has always been generous in sharing everything she knows about getting a job in data science. In this episode, she continues to extend her generosity, helping listeners define their approach to achieving a fulfilling car ...  Show more

Vishal Gupta, engineering manager, machine learning at Reddit, joins the podcast to explain how the social media community platform uses artificial intelligence to improve user experience and ad relevance. Much of the advertising work relies on increasingly sophisticated recomme ...  Show more