April 16, 2026 at 6:23 PM
The job of the future is the token optimizer
Recent Posts (all)
April 14, 2026 at 9:58 AM
Great article by Ricardo Angel Granados López on why LLMs fail Data Modeling.
Killer quote on why AI doesn’t work the way you expect.
https://xebia.ai/gl-dm-not-work
April 13, 2026 at 11:44 AM
I didn’t know Databricks had such a nice brand guide, and all available online!
I mean, look at those colors and their tips & tricks to use DM Sans to the best of its ability!
April 11, 2026 at 8:49 AM
What happens in a meeting and a clearly AI-generated insight is shared?
Is anyone questioning it or is everybody nodding along?
AI adoption is great, until it’s not—and that happens when people have no clue how to use these powerful tools.
This is just one telltale of a an organization who’s enroute to become AI Fluent but is not there.
Curious what’s else is there? We built a self-assessment to help you:
April 11, 2026 at 8:43 AM
What happens when everybody does AI but there’s no coherent direction? If the standards—and quality—varies so wildly you’re not confident about the decisions?
Data & AI Literacy is your compass in these situations. Without it, you get energy but lack alignment.
So, where do you stand?
If you have 5’, take our self-assessment https://pages.xebia.com/artificial-intelligence/take-ai-literacy-maturity-self-assessment?utm_campaign=41035175-Demand-Gen%20%7C%20DataAI%20%7C%20FY26%20%7C%20DataAI%20Literacy%20%7C%20Global&utm_source=linkedin&utm_medium=social&utm_term=Gio_LI&utm_content=Gio_LI
GO DEEPER? We got that too!
April 11, 2026 at 8:34 AM
The EU AI Act is a today problem, and it’s a problem because it’s not just tech and legal. You need people to understand AI.
That’s Data & AI Literacy. And it ain’t optional no more.
Can’t be critical about AI output? You can’t govern it responsibly.
Luckily, Nina Stefels walks through the challenges. Worth an hour of your time:
April 11, 2026 at 8:28 AM
We put together a short video on why Data & AI Literacy matters in 2026.
No hype, but what does work and what doesn’t.
April 11, 2026 at 8:24 AM
Data & AI Literacy is not a training program. It’s a data-driven mindset supported by AI knowledge, embedded at all levels of the company.
In fact, orgs with the fanciest models are not the ones ahead. They’re the ones that changed how people work.
How to start?
What skills does each role need? What’s the gap? And how to fill it?
We recorded a full session with Nina Stefels and Rozaliya Khafizova to get you started.
No fluff.
Watch it here:
April 9, 2026 at 8:42 PM
I’m exhausted by people who use LLMs not to augment their work but to replace their thinking, hoping they will save time.
If you don’t invest significant time in prompting and editing, you’ll only fool yourself.
(Note that the GIF is NOT an accurate representation of Kubrick’s script)
April 9, 2026 at 2:59 PM
Most AI strategies fail.
People don’t understand the big why, lack the skills to master the tools, so they just keep the old habits.
Where do you stand with your company?
We built a self-assessment to map where you stand with your Data & AI Literacy—4 maturity levels, practical next steps, by investing a couple of minutes.
Measuring is knowing, so start measuring.