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Sanjit
Misra
Director of Product Management
Thomson Reuters
Sanjit Misra is a product leader specialising in enterprise AI, agentic systems, retrieval, and long-context technologies. He has extensive experience building and scaling AI-powered products, with a focus on improving the accuracy, reasoning, and performance of enterprise GenAI solutions. Previously at AWS, Sanjit led the accuracy and agentic AI product line for Amazon Q Business, working on retrieval, ranking, and reasoning systems used by Fortune 500 companies. He also led a cross-functional organisation of more than 40 engineers and applied scientists, bringing deep expertise in AI product strategy, technical innovation, and enterprise-scale execution.
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18 November 2026 13:45 - 14:30
Panel | Activation in the field: Driving adoption when your users are not at a desk
The activation playbook was written for knowledge workers with a laptop and a broadband connection. It does not translate cleanly to a warehouse operative with a handheld scanner, a field technician with a ruggedized tablet, or a store manager checking in for thirty seconds between shifts. Getting adoption in operational, industrial, and frontline B2B contexts requires a fundamentally different approach to onboarding, interface design, and what you even count as successful activation. This panel brings together operators who have built for those environments. Panelists will share the specific adaptations they made to their activation model for non-desk users: how they defined the first-value moment in a workflow context, how they designed onboarding for intermittent and interrupted use, how they measured adoption in environments where traditional analytics instrumentation does not work cleanly, and what the support model needs to look like when your user cannot easily stop and read a help article. Expect a practically grounded conversation with examples from manufacturing, logistics, retail, and field services.
18 November 2026 10:15 - 11:00
Panel | Trust the machine: Getting enterprise buyers to adopt AI features when procurement and compliance say no
Piloting an AI feature is easy. Getting it past security review, a risk-averse legal team, and a compliance function that has never seen a model card before is where most enterprise AI rollouts stall. This panel brings together product leaders who have moved AI capabilities from demo to default inside large, regulated organizations, and asks what actually changed procurement's mind. Expect a candid look at the objections that keep coming up (data residency, model transparency, "who is accountable when it's wrong"), and the specific tactics, documentation, and internal allies that got AI features signed off rather than shelved. Attendee takeaways: - The real objections: What compliance, legal, and security teams are actually pushing back on when an AI feature reaches procurement, and why "it works in the demo" isn't enough. - Building the paper trail: What documentation, audit evidence, and model transparency buyers now expect before they'll sign off. - Internal champions: How to identify and equip the person inside the buyer's org who will fight for your feature when you're not in the room.