Building AI Product Success Through Smarter Experiments

Building AI products isn’t just about clever models. It’s about running smarter experiments. In this lightning talk, Avinash Mahalingam (Ex-Amazon PM leader) and Deepa Krishnamurthy (Ex-Klarna AI engineer) share hard-earned lessons from the product experimentation lifecycle. From structuring experiments to choosing the right metrics, they’ll show how cross-functional teams can avoid common traps and drive real outcomes.

☕️ Apply proven frameworks to design experiments that produce measurable results

☕️ Spot and fix experimentation pitfalls using proven frameworks while leveraging prototypes of dashboards to effectively communicate metrics for visualization

☕️ Balance deep analysis with bias for action, knowing when to dig in or move fast

Whether you’re working on AI products or not, mastering experimentation is the path to building market-leading products. This session gives you the playbook to align product and engineering and deliver outcomes that matter.