Your AI works, but nobody cares (yet)

Most data teams want to drive AI adoption in business, but they often hit an invisible wall. The models work, the dashboards are beautiful, yet business colleagues do not use them. I was there. This keynote is for data teams and their leaders who want to understand the human factor behind AI adoption.

Key takeaways from this keynote:

1️⃣ Data professionals play a central role in AI adoption in business, not just in model development.
2️⃣ A product mindset with a clear value proposition, ongoing adaptation, and internal marketing is crucial for AI success.
3️⃣ Data storytelling is a core skill: if business users do not understand the story, they will not adopt the AI solution.

If you want your data teams to be seen as true partners for the business, rather than distant IT providers, reach out and book this keynote for your next internal event, data summit, or leadership offsite.

Technical teams have a much bigger impact on AI adoption in business than they might think. The problem is often not the technology; it is how solutions are positioned, communicated, and supported. Throwing an AI solution over the proverbial fence to business users and hoping it will be used is not a strategy. In this keynote, I show how to move from a project mindset to a product mindset to avoid that.

That means understanding business problems in depth, involving users early, and continuously iterating based on feedback. Instead of focusing on product specifications, data professionals must ask: who uses this, for what decision, and how does it make their work easier? They also need to tell data stories that explain why this AI solution matters for business colleagues.