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Problem-First, Not AI-First: A Framework for Product Leaders

Ask AI for a plan and you get a good one, instantly, for whatever problem you handed it. It answers the question you asked, not the one you should have asked. Most of us have shipped something confidently wrong and found out later. This session is about noticing it sooner.

Build the Context: A Data Leader's Case for Keeping Judgment in the Loop

AI runs the query. It finds the pattern. It generates the insight. But it works within the context it is given — and the analyst’s job is to bring everything it can never be given. This session is a data leader’s case for reclaiming that role: building the context, protecting the hypothesis, and keeping causal judgment where it belongs — with the team.

Cleaner Hands, Sharper Minds: Using AI for execution without outsourcing the idea.

Generative AI is changing what it means to be a designer. Tasks that once required extensive hands-on skills, from drawing and rendering to polishing and producing variations, can now be accelerated by AI. But the ability to create an output does not replace the ability to create a meaningful idea. This session explores how designers can rely on AI for execution while keeping human creativity, judgment, and intent sharp.

Agentic Workflows at Scale: Where Humans Stay in the Loop

As agentic AI workflows scale, the role of humans shifts from executing every step to providing strategic oversight. Humans remain essential at critical decision points—setting goals, defining guardrails, reviewing high-impact actions, resolving ambiguity, and handling exceptions. Effective human-in-the-loop design balances autonomy with accountability, enabling speed without sacrificing trust, safety, or control.