Upcoming Webinar: Experimentation in the Age of AI
As AI increases shipping speed, experimentation practices need to evolve. Join us for a live, free webinar to learn about the future of experimentation in the age of AI.
Every few months, we host a session that we’re genuinely excited about. This is one of them.
We are hosting a live, free webinar: Experimentation in the Age of AI conducted by Manisha Arora — Data Science Lead at Google.
Schedule:
Friday | June 12, 2026 at 3pm EST / 12pm PST
Why this, why now?
AI has fundamentally changed the environment that experiments run in. Features are shipping faster than ever, treatments are dynamic and personalized rather than fixed, and the outputs we’re trying to measure don’t always map cleanly to the metrics we’ve relied on for years.
The experimentation frameworks most of us were trained on were built for a different world. Adapting them to an AI-first product environment requires new mental models — around how you design experiments, how long you run them, what you measure, and how you interpret results.
In this session, Manisha will walk through how experimentation practice is evolving in response to these challenges — the specific techniques that leading teams are adopting, the tradeoffs involved, and a practical framework you can apply to your own work immediately.
What we’ll cover
Experimentation is one of the most valuable skills a data scientist can have — and one of the fastest-evolving. In this session, we’ll cover:
How AI-first products are changing the experimentation landscape. Faster shipping cycles, dynamic and personalized treatments, feedback loops, and outputs that don’t map to traditional metrics — we’ll unpack exactly what makes AI features harder to test, and why it matters.
The new mental models leading teams are using. We’ll walk through the specific techniques that high-caliber experimentation teams at companies like Netflix, Airbnb, Spotify, and Meta have adopted to run rigorous experiments in this environment — and how to think about when and why to use each one.
What this means for your career. Rigorous experimentation is becoming a genuine differentiator as AI makes basic analysis easier. We’ll close with a practical lens on where the DS skill premium is moving — and how to position yourself ahead of it.
Save your seat
This webinar is hosted by PrepVector in collaboration with Maven and Amplitude.
Amplitude is the product analytics and experimentation platform behind some of the most data-driven teams in tech. They help companies run rigorous experiments, manage feature rollouts, and measure what actually moves the needle — all within a single platform connected to their behavioral data.
📅 Friday | June 12, 2026 at 3pm EST / 12pm PST
This isn’t an intro to A/B testing. It’s for practitioners who already run experiments and want to run them better in an AI-first product environment. If that’s you, we’d love to see you there.
— The PrepVector Team