Let's Talk Tech: Tap Water, Patient Care, and the Power of AI
Join this event
About this event
Join us on April 8, 2026 at our Paris office for an evening at the intersection of data, AI, and public health, from making tap water quality transparent to every French citizen, to reimagining what clinical care looks like in 2030.
Two speakers. Two projects. One shared conviction: complex data, in the right hands, changes lives.
6:30 – 7:15 pm | Jérémy Greze\, Freelance Product × Data × Dev
44 Volunteers, 10 GB of Open Data, 650K Visitors, and a Question in Parliament
In October 2025, dansmoneau.fr went live — a site where any French citizen can check exactly what's in their tap water. Within days it was featured on the front page of Le Monde, with prime time TV coverage, and a question raised in Parliament. Budget: zero.
Behind it were 10 GB of open government data, 44 volunteers from Data For Good, and the scientific expertise of Générations Futures. The data had always been there — public, collected monthly by health authorities — just buried and impossible to use. They made it accessible.
This talk is the technical story of how they achieved this by designing the data pipeline, discovering that 10 GB is actually small data with the right tools, and rendering 24,000 water zones on an interactive map without crashing the browser. And if time allows — what the data actually reveals about PFAS, pesticides, nitrates, VCM, and perchlorate across France.
7:15 – 8:00 pm | Li-Heng Fu\, Senior AI Solution Engineer\, Health & Life Sciences — Dataiku
Building the Future of Care: Clinical AI in 2030
"There are decades where nothing happens, and there are weeks when decades happen."
For decades, healthcare was a fortress of inertia — guarded by data privacy constraints, rigid workflows, and high-stakes accountability. Those walls are coming down. Not just because of technology, but because of the clinicians and builders choosing to lead the charge.
Drawing on the latest Stanford ARISE AI research and emerging industry breakthroughs, Li-Heng will trace the shift from experimental benchmarks to real bedside applications — exploring the rise of multimodal diagnostic agents, ambient scribing, and autonomous healthcare assistants. The session closes with a harder question: as AI reshapes healthcare by 2030, what kind of patient-doctor relationship are we actually trying to build?
The talks will be followed by open discussion and networking. Come ready to ask questions.
8 - 10PM: Meet & greet with drinks
Dataiku will only use your personal information to provide the product or service you requested and contact you with related content that may interest you. You may unsubscribe from these communications at any time. For more information on unsubscribing and how we protect and respect your privacy, check out our Privacy Policy.
Want to find AI jobs?
Join thousands of AI professionals finding their next opportunity