AIE Singapore Day 2 ft. Google DeepMind, OpenClaw, Adaption, Arize, Cloudflare, Robot Company & more

AI agents are transitioning from experimental prototypes to reliable, production-grade systems, necessitating a shift toward robust "harnesses" that enforce planning, context management, and deterministic execution boundaries. As agents take on autonomous, long-horizon tasks, they require a "company brain"—a unified source of truth that synthesizes real-time organizational data—to overcome the limitations of static documentation and ensure accuracy. Furthermore, the industry is moving toward code-based tool execution and rigorous evaluation frameworks to prioritize safety and performance. From robotics tele-supervision to multimodal data collection for humanoids, the focus remains on building adaptive, cost-aware systems that prioritize outcome-driven development over mere model scaling. These advancements enable agents to function as autonomous, reliable coworkers, effectively moving human involvement from "in the loop" to "on the loop" to manage complex, real-world workflows.