Stream B | Solution Study
Monday, March 11
03:30 PM - 04:00 PM
Live in Berlin
Less Details
As the automotive industry accelerates towards the future of AD and ADAS, the demand for robust validation processes has never been greater. Central to this validation is the generation of accurate ground truth data. However, conventional methods of ground truth data generation present significant challenges in terms of program time, ensuring consistent data quality, and overall cost-effectiveness. Understand.AI delves into the limitations of traditional ground truth generation models and showcases how the advent of AI and ML technologies is revolutionizing the landscape. By automating the ground truth data generation process, AI/ML not only addresses industry challenges but also paves the way for scalable and efficient validation methodologies.
I'm an automotive industry expert focusing on the crossing point between technology and business. Since 2009 I’m dedicated on CASE, mainly on Connected, Automated and Shared services. In my current role as CEO of understand AI, I’m leading a world class team that applies AI and ML technology to change the AD/ADAS annotation business significantly. In my career I had multiple VP, Key Account and technical leadership roles winning and rolling out programs in the US, Europe and Asia. I worked with most automotive OEMs and companies around the world. My industry domain is automotive, IT and Telecommunications.
The Pop in Your Job:
I love to combine technology and business to create customer value.