Jana Wilhelmus is a fractional CMO, a TikTok creator with 43,000 followers, AI4ALL co-founder, and a mother of two — and she runs all of it with Claude doing the busywork in the background. But ask her where AI’s role ends, and she’s clear: it suggests, it never decides. Ahead of her September 2 AI Marketing workshop, she talks through where the line actually sits.
“You really have to go the other way around. So, start with the practitioner, start with the nurse, with the doctor, and then really understand their pain points”, says Anouk Wolters, AI Project Lead at KickstartAI. In this interview, Anouk explains how her team’s wound-reporting project with LUMC started not with an algorithm, but with the nurses who’d actually use it, and what that meant for how the tool was built.
As soon as you open your LinkedIn, you’re presented with the equivalent of technological Hunger Games. While mastering the craft of AI literacy certainly belongs on the list of hot (and by all means, necessary) skills, this thirst for knowledge can easily cloud one’s vision about what’s important. You need to know how to think, how to raise questions and push back, how to connect the dots across domains, and how to position the technologies you use within the broader systems they operate in. If you’re not sure what skills actually matter and where to put your focus, this list might help you to find the right direction.
Prompting is easily the buzzword of our time. LinkedIn is flooded with the formulas, the techniques “you’ll ever need” and everyone seems to have cracked some secret code. But, if you haven’t needed AI until now, or somehow managed to hide yourself from it, asking what prompting actually is can feel awkward.
Do not worry! You haven’t missed the boat, and getting good at it is easier than it looks.
We’re so focused on celebrating the loudest achievements in AI that we seldom ask ourselves: what are the intentions behind these solutions? We assume that every breakthrough in artificial intelligence is meant to advance our species, either for our productivity, economic growth, or efficiency. While all these benefits are commendable, we shall not forget that our future requires more than that: decision-makers who aim to prioritize responsible and equitable use.
At AI4ALL, we’re always looking for ways to make AI more inclusive and transparent. That’s why we’re excited about DataChef’s newly launched LLM DutchRank.ai, a platform designed to show how well AI actually “speaks” Dutch.
Before becoming a mentor, Roelof Vuurboom held leadership roles in large tech companies and built businesses of his own. For the past seven years, he has worked closely with early-stage founders, helping them cut through the noise and focus on what genuinely drives value.
“When people start a business, the biggest issue isn’t execution,” he says. “It’s clarity on what actually matters.”
When leaders talk about digital transformation, it often sounds like a problem. New tools, new systems, new platforms. Lynn Weir sees it differently.
“Many companies treat AI as the goal instead of a tool. This often leads to poor results.”
When people talk about the future of AI, it often sounds inevitable, as if technology simply moves forward and the rest of us try to keep up. Marion Mulder sees it differently.
“A lot of people assume there is only one future,” she says. “Usually, the one that looks like a straight line from the past. But that’s rarely true.”
Professor Şeyma Bozkurt Uzan is an excellent mentor in the AI4ALL Mentor Program for anyone working to solve a complex problem. She helps you build a structured roadmap so your decisions feel solid and well thought out. She patiently guides you in exploring different possibilities, and together you determine which direction works best.
Her foundation is business, operations research, and multi-criteria decision-making. She brings that lens into everything she does, from data science and AI to machine learning, data-driven analytics, NLP, and education technologies.