In this webinar, you'll learn:
- Why the first 80% of an AI project is the easy part — and what the remaining 20% actually requires to move from prototype to production
- The true total cost of ownership of an internal AI build, including the hidden costs most teams underestimate
- The structural risks of AI-generated code: security vulnerabilities, technical debt, and the 18-month wall
- Why data and governance — not code — are the real barriers to scaling industrial AI
- How "building" doesn't eliminate vendor lock-in — it just shifts the dependency somewhere less visible
- The decision framework leading manufacturers use to evaluate build vs. buy at the executive level
