It can be difficult to know where to start with AI (or even if you should). But running small, focused experiments can help you quickly test ideas, deliver real value fast, or fail without high stakes.
In this talk, Alex Yedigaroff, Director of Data and Product at dxw, shares a practical, step-by-step approach to running AI experiments with confidence. You’ll learn how to move from identifying a problem, to forming a hypothesis, designing and building a quick experiment, and capturing what’s learned — whether it works or not.
Alex will share real-world examples of how the “test and learn” mindset helps cut through AI hype and keeps things grounded. The key message: your experiment doesn’t need to be perfect. You’re building to learn — not to launch.
Talk attendees will come away with a suggested and realistic framework for scoping and running their first (or next) AI experiment, practical tips to reduce risk and learn fast and hopefully leave feeling inspired to start small and stay focused on solving real problems.
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