Databricks Lakehouse for Automotive Data: How AVL Modernizes Vehicle Testing

The car is becoming a device that updates like your phone, so the idea of "fully testing" one before it ships is quietly falling apart. How do you validate a vehicle that adapts every minute it's on the road?

In episode 2 of Data + AI Exchange, Viktoria Semaan sits down at AVL's headquarters in Graz with VP of Corporate Strategy Georg List and Director of Global Enterprise Architecture Andreas Juffinger to unpack how the automotive industry's shift to software-defined vehicles created a data explosion and how AVL and Databricks built an open-source lakehouse for measurement data to handle it.

⏱️ Inside the conversation:
00:00 – The Paradigm Shift in the Automotive Industry
01:01 – What Does AVL Do?
02:25 – Navigating Industry Transformation and Data Challenges
05:25 – Innovation in RaceTech and its Transfer to Traditional Cars
07:47 – The Future Vision: Adaptive Cars and AI-Driven Testing
09:20 – Technical Walkthrough: Building a Lakehouse for Measurement Data
12:19 – The Power of the Impulse Framework
14:52 – Data Governance, Quality, and Democratization
17:33 – Future Outlook: Agents, Generative AI, and Getting Started

🔗 Resources to get started:
Impulse repo: https://github.com/databrickslabs/impulse
Docs: https://databrickslabs.github.io/impulse/

Видео Databricks Lakehouse for Automotive Data: How AVL Modernizes Vehicle Testing канала Databricks