It was a pleasure to be a guest—along with Nuno Faustino and Vishal Nigam—at the Bind2Tech podcast hosted by Waheed Najimi.
In it, we discussed hashtag#LLM’s as co-workers, the environmental impact of LLMs, and, in general, how hashtag#AI is reshaping team collaboration.
Listen to it on Spotify! Link in the comment
With the recent turmoil around data, privacy, and storing GDPR-protected data in US-owned data centers, programmatically protecting sensitive data is A Thing™️.
If you’re into hashtag#dbt and hashtag#databricks, my colleagues Marta Radziszewska and Tim Steinkühler have got your back with the latest post on the Xebia blog!
Read it below 👇🏼
https://xebia.com/blog/automate-sensitive-data-protection-with-metadata-driven-masking/
With the release of DeepSeek R1, many companies are rightfully thinking of replacing whatever hashtag#LLM they’re using with it.
But in this blog post I argue that, if your testing strategy is not well executed, you might be in for a surprise!
Read it on the Xebia website 👇🏼
Thank you Cosmando Byarugaba for hosting Bas Heemskerk and myself at the KLM office to get inspired about all things hashtag#genai, and how to build a culture of continuous learning to become a data-driven enterprise!
And, delight for my kids, I came home with a 787 for them!
If you’re into cooking and into physics 🙋🏻♂️ you CANNOT miss this paper on how to prepare the perfect pasta cacio and pepe! 🧀🍝
While the equations in the middle might scare you off, skip to the perfect 2-person recipe! 🧑🍳👨🏻🍳
“For a practical example, consider preparing Cacio and pepe for two hungry people. This typically requires 240 grams of pasta (tonnarelli is preferred, though spaghetti or rigatoni also works well) and 160 grams of cheese. Traditionalists would insist on using only pecorino, but some argue that up to 30% Parmesan is acceptable, though this remains a point of debate. To achieve the correct starch ratio, 4 grams of starch is optimal for 160 grams of cheese.”
Read the rest below 👇🏻
And, if you’re Italian, leave a comment on whether you think having Parmesan cheese is acceptable!
Reading Simon Willison‘s excellent blog on “Things we learned about LLMs in 2024”, made me realize why we’re not seeing much economic benefit* from hashtag#llms yet.
Simon writes:
“Most users are thrown in at the deep end. The default LLM chat UI is like taking brand new computer users, dropping them into a Linux terminal and expecting them to figure it all out.”
What should we work on, then?
As it was always the case with AI, work on the pains and the gains of the end users and think about a UI and UX they can use and be more productive with!
Don’t expect them to change how they work simply because you turned on a feature on your Office or GitHub subscription!
An excellent primer on this is Xebia whitepaper on prioritizing LLMs use cases, to effectively integrate hashtag#genai into your company. Download it here: https://pages.xebia.com/data-and-ai/how-to-prioritize-large-language-models-projects-whitepaper
https://simonwillison.net/2024/Dec/31/llms-in-2024/
Really cool application of AI — no hashtag#genai involved, though!
Using AI and sensors —and soon drones—to detect wildfires 🔥
https://www.economist.com/science-and-technology/2025/01/01/new-firefighting-tech-is-being-trialled-in-sardinias-ancient-forests from The Economist
One of the most amazing changes hashtag#genai has brought to the corporate world is that, while a talking head flips through slides, I don’t yawn at the trite corporate photo but I start wondering what insane prompt they used to generate the “art” on the deck.
hashtag#GenAI is cool, but do you know what’s even cooler?
GenAI in production!
Read Xebia’s latest customer story with AVROTROS on how our Gemini-based solution achieves 90% accuracy!
https://customers.xebia.com/automated-labels-for-better-broadcasting-insights
Learn how we helped the largest supplier of spare parts for the agricultural and construction industries in Europe set up self-service analytics with dbt Labs, allowing Product, Sales, and Marketing teams to be onboarded in minutes, and Kramp’s analysts to access their data in a consistent and quick manner.
https://customers.xebia.com/kramp-takes-self-service-to-the-next-level-with-data-mesh
