Physical AI Summit
Physical AI: Accelerating Concept to Commercialization
June 26, 2025, Pittsburgh
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Sahil Potnis (Moderator)
VP of Product and Partnerships,
Digital Divide Data
Jeffrey J.
CTO and Co-founder
Mapless AI
Al Biglan
Head of Robotics,
Gecko Robotics
Jacob Panikulam
CEO
Main Street Autonomy
Presented and moderated by Digital Divide Data in partnership with the Pittsburgh Robotics Network
Date: Thursday, June 26
Time: 5 - 8 PM EDT
Location: Pittsburgh
Limited seats
What Attendees Can Expect to Learn?
We’ve seen countless prototypes in active development. Now comes the hard part: bringing these Autonomy platforms to the real world, at scale, where things can get really messy.
Our panel of experts pulls back the curtain on what it tangibly takes to make the Physical AI smarter, effective, and deployable across industries and environments. We’ll trade war stories, highlight local breakthroughs, and unpack the new realities reshaping how systems are designed and delivered.
Key Highlights
- Why some Autonomy projects make it to market — and why so many don’t
- What separates flashy demos from scalable, validated, trusted systems
- How new learning models and data strategies are reshaping Physical AI
- The real-world challenges of verification, safety, and public trust
- The playbooks (and pitfalls) of turning Physical AI into real business
- Bold visions of what Physical AI could look like five years from now
No fluff. Just real talk from the people doing the work.
Who Should Attend?
Founders & C-Suite executives
Engineers & researchers in autonomy or robotics
Product managers & business development leads
Investors and ecosystem partners in Physical AI
Anyone building or deploying autonomous robotic systems
Meet The Round Table Host
Sahil Potnis
Sahil Potnis is the Vice President of Product & Partnerships at Digital Divide Data (DDD), where he leads strategic innovation in data solutions for autonomy. With over a decade of hands-on leadership across companies like Motional, Aurora Innovation, and Uber, Sahil brings an unmatched perspective on building and validating autonomous technologies.
Armed with degrees from Cornell University and the University of Mumbai, his career has spanned critical roles in Systems Engineering, Data Operations, and Commercial Product Deployment. At DDD, he’s leading the charge in transforming how synthetic and human-in-the-loop data pipelines validate next-gen AV systems.
Why DDD Belongs at the Center of This Conversation?
- We enable scalable AI through high-quality, ethical data curation for training and validation
- Our experts help bridge the gap between ML research and real-world deployment with hands-on data ops expertise
- We help you drive responsible AI by embedding human oversight, trust, and inclusivity into the AI pipeline
- Our experience brings a global perspective on deploying Physical AI across diverse industries and environments
Connect with Us
Connect & learn the playbook (and pitfalls) of turning Physical AI into a real business
Register Now