Future of the future: creating an AI product beyond hype

When a company creates one of a bunch of AI products, what should distinguish it from competitors? We know the initial AI hype is behind us, the real things are happening now and now everyone is asking: what`s next?

Let's talk about GitLab Duo, our AI baby. We ramped it up in an aggressively narrow timeframe, with a vision to provide the highest-quality experience for our users. At the moment, many questions are open about its future development.

Join me to examine the landscape of AI products in the DevSecOps world and the trajectory of future expansion. We are delighted to share our experience on top of the product with more than 30 million users.
1. Why do we jump into the unknown area with LLM and AI development?
2. What is the approach that will become a success story for AI product development - yes you guess, it is an iterative approach
3. How to leverage dogfooding - and what is dogfooding - Tip: it is not about the dog or the food
4. When to pivot your development without regret - yes, it is because of FinOps, but not only that
5. How to measure your success - people often forget to measure what they are doing and are they will reach the goal

I promise - no fluff, no buzzwords. Solely a first-face story from the GitLab Data Team member, created from sweet and pain from the world leader of DevSecOps platform creator, remote work champion and one of the most transparent company in history.