Insights from DDD’s Roundtable at Autosens US 2025

On 10th June, Sahil Potnis, VP of Product and Partnerships at DDD, brought together Autonomy industry leaders for a high-impact roundtable focused on problems autonomous companies are struggling with: collecting meaningful, high-quality data from sensors and cameras.

With around 10 experts at the table, the session started with a refreshingly candid discussion. Sahil pointed out that despite the demand, data collection is still too hard, too expensive, and far too limited for the scale we need to train and validate real-world systems. His perspective resonated with many in the room, setting the tone for collaborative and insightful discussions.

Throughout the session, Sahil emphasized the value of pairing annotated datasets with clearly defined KPIs to drive more focused development and smarter validation. He shared how this approach helps surface performance issues early but also ensures teams are working toward metrics that matter. 

The group shared their perspectives on collaboration challenges, use-case gaps, and openly shared issues they’ve encountered in the field. What emerged was a genuine sense of community–people eager to learn from one another and push the industry forward.

Because when it comes to building smarter, safer, more capable systems, better data isn't optional, it’s everything in the Autonomy industry.