{
  "topics": [
    {
      "id": "poc-trap",
      "title": "Signature Keynote — The POC Trap",
      "summary": "Why AI stalls after the demo, and how to design for production impact from day one.",
      "abstract": "A successful demo is not evidence of production readiness. It is evidence that nobody has asked the hard questions yet. Over 80% of AI projects never reach meaningful production, not because the technology failed, but because the initiative was never designed to survive real conditions. The talk gives you a concrete model for what evidence to require before scaling, when to redesign, and when to stop."
    },
    {
      "id": "impact-test",
      "title": "The Impact Test",
      "summary": "A value-first way to choose which AI initiatives are worth funding before build starts.",
      "abstract": "Most AI investments are built on a problem that feels important. Few are built on evidence that it is. Organizations confuse problem visibility with problem value. The most visible problem gets the brief, the budget follows, and months later the metric that moved turns out not to be the one that mattered. The talk gives you a framework to quantify AI value before a line of code is written."
    },
    {
      "id": "experience-moat",
      "title": "Experience Is the Moat",
      "summary": "Models can be copied. Durable advantage comes from workflow fit, trust, and adoption.",
      "abstract": "Most AI systems are built to perform. Almost none are built to be used. Capability is commoditizing fast. What cannot be copied is how well your system fits the people, workflows, and edge cases it was actually built for. The talk gives you a clear lens for identifying where your current initiatives are optimizing the wrong thing."
    }
  ]
}