STARWEST 2026 - AI/ML
Thursday, September 24
AI-Native Delivery: Why the Future Belongs to Those Who Specify and Validate
AI in software delivery is no longer just about experimenting with copilots or generating code faster. It is about changing how software is imagined, specified, generated, validated, governed, and improved. As AI continues to be used for producing prototypes, requirements, code, tests, documentation, deployment artifacts, and operational insights, the software lifecycle shifts from a sequence of handoffs into a continuous learning loop. The real opportunity is therefore not only about leveraging AI tools, but adopting a new working model for transforming intent into trusted outcomes. Join...
Taming the Stochastic Beast: Building AI Evaluation Pipelines for GenAI Releases
If you've ever shipped a GenAI feature wondering “is this actually good enough?”, you're not alone. Traditional pass/fail QA breaks down when outputs are non-deterministic, and teams end up making release decisions based on subjective “vibe checks” rather than data. This session shows how Product Managers can partner with QA to replace intuition with a systematic AI evaluation pipeline. You'll learn how to define quality as measurable dimensions (groundedness, tone, helpfulness, safety), build a representative test set, and design rubrics that align product goals with engineering...