Are automotive giants sitting on a goldmine of data they can’t fully use?
In this episode of the XTech Podcast, host Debbie Forster sits down with Arnon Shafrir, VP of Automotive Data Intelligence and AI at Upstream, to tear down the biggest misconceptions in modern vehicle technology.
Arnon reveals why automakers don’t actually have a “data problem”: they have a stitching problem. Discover how live digital twins and agentic AI are revolutionizing after-sales quality operations, turning raw vehicle telemetry into game-changing insights before failures even happen.
This conversation introduces agentic quality intelligence as the next step in transforming quality into a proactive process with a feedback loop that extends the full lifecycle of the vehicle or other physical AI device.
This episode was originally created and produced by the team at Fox Agency for the XTech Podcast. To dive deeper into their industry-leading conversations with global tech pioneers, visit the official Fox Agency XTech Podcast episode page.