Resources
What we learn from running capability programmes: what works, what stalls, and what the numbers actually say.
Completion on standard corporate e-learning sits at around 12%. The reasons people stop are boringly consistent, and so are the things that fix it.
A partnership that combines control over AI systems with the skills of the people working with them.
This summer we kicked off the SHV Energy Data & AI School — our largest partnership to date. Up to 6,000 employees across countries including the Netherlands, Italy and Brazil will be equipped not just to use AI tools, but to understand them, question them, and put them to work with confidence.
We have launched Effective Prompting for Everyone at PostNL. Over the coming months, 4,000 colleagues will get hands-on experience with AI and learn how to use it in their day-to-day roles.
With Nanne Veldman joining as co-founder and CEO, Data Booster doubles down on the people side of data & AI transformations: it is not the tools, but whether people actually use them in daily work, that determines the return.
AI is already inside your organization. It is in your employees' browsers, their workflows, and their daily decisions. The question is no longer whether your people are using AI, it is whether anyone is in control of how they are using it. Today, we want to shine a light on what we call the silent killer: the growing gap between AI adoption and AI governance.
We co-hosted DataDinners 2026 in Amsterdam — an evening for data and AI leaders who wanted to get past the slide decks.
The challenge is not learning about data & AI. It is making it part of how your organization actually works.
AI adoption is no longer the interesting question. Whether your people can actually use it is.
A summary of the GenAI divide in MIT's State of AI in Business 2025
A 2nd-place finish in the Dutch semi-finals of the GESAwards puts Data Booster among the country's leading EdTech startups.
Data Booster and Ortecha are joining forces to bring hands-on, role-relevant data & AI upskilling to organizations in complex and regulated industries.
Review of Humanizing Data Strategy by Tiankai Feng
Four things that decide whether a data & AI literacy program changes how people work, drawn from the programs we run.
The EU's competitiveness agenda keeps landing on the same conclusion: Europe's constraint is not access to technology, it is the rate at which working adults learn.
Data & AI Advisory Board announcement
Data & AI Advisory Board announcement
Data & AI Advisory Board announcement
Five ways to show what a data literacy program is actually worth — from program indicators and tool adoption to time-to-insight and what managers notice in the work.
Four shifts shaping data & AI literacy programs: data products, AI governance, decision-driven analytics, and the data creators most programs forget.
Danique awarded the 2024 DataIQ Award for New Talent or Data Apprentice (Enabler)
Based on an interview with Wouter Neef, founder of Data Booster
Three terms, used interchangeably, describing different things. Here is the distinction that starts to matter once you actually design a program.
