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Zebra Technologies is at the forefront of edge artificial intelligence, built specifically to empower those on the frontline. In this video, we break down the three core components of Zebra's Frontline AI solution and explore how they accelerate development, streamline specific workflows, and assist workers in real time. We examine the three pillars of our AI architecture.

AI agents are moving from demos to production – but who governs what they do at runtime? The Agent Governance Toolkit (AGT) is an open source, MIT-licensed framework from Microsoft that enforces deterministic policy before every tool call, message, and action an agent takes. In this talk, Imran walks through how AGT brings zero-trust identity, policy-as-code, tamper-evident Merkle audit chains, and a Kubernetes sidecar model to any AI agent, regardless of framework.

Learn more: speedscale.com.

AI coding assistants are rapidly evolving from passive copilots into active, agentic collaborators capable of planning, executing, and iterating on complex software tasks. This shift has huge ramifications onthe software development lifecycle (SDLC), developer productivity, and even the structure of engineering teams.

The breakthroughs in AI today aren’t just coming from bigger datasets and more compute; Reinforcement Learning (RL) has quietly become one of the most powerful forces in modern AI development. RL is teaching models to reason and self-correct, enabling capabilities that make AGI feel less like science fiction and more like an inevitable future.