Humanoid robots promise to operate in the same environments as humans, but their success depends on far more than hardware. This roundtable explores the critical role of data in enabling humanoids to perceive and interact with the physical world. We will discuss the types of data required to train movement, dexterity, decision-making, and social interaction, as well as the challenges of sourcing, labeling, and validating data at scale. The conversation will focus on what it truly takes to move humanoids from impressive prototypes to reliable, real-world systems - and which types of data make the difference.

AI is moving from back-end tool to front-line force and executive teams are being pulled into uncharted territory. From transparency and accountability to global risk, the governance burden is growing. How do leaders build systems that scale responsibly, without losing control or trust?

Clean demos don’t prepare models for the mess of real-world inputs. This session breaks down how top builders tackle the noise, gaps, and multilingual chaos inside real customer data and what it takes to deploy models that hold up under pressure.