AI is getting very good at accelerating individual tasks: writing, analysis, review, synthesis, and automation. But faster tasks do not automatically create faster product development.
In this session, Marc Osofsky and Michael Jastram discussed what it takes to move from local productivity gains to Product Velocity. The conversation focuses on engineering data, traceability, decision speed, and the role of platforms in complex engineering environments.
Takeaways:
- Why task-level acceleration is only one part of product development speed
- How engineering data and traceability affect decision latency
- Why connected information matters more as products become more complex
- How AI can support product development without becoming just another local optimization
- What engineering leaders should look for when turning AI into measurable product velocity
- How established engineering platforms can help teams move from faster work to faster outcomes