We have a hypothesis, that 90% of people doing Gen AI today weren’t doing it two years ago. The landscape is full of people stumbling their way through it, from the AI academics learning that code for papers is not software development ready, all the way to data experts suddenly needing to learn a new skill.

In this talk, we'll go through what data engineers need to know to help get those AI projects off the ground. Starting with picking the right projects, execution plans, through to toolsets and skills that will make you shine.