VivaTech Day 1: AI is everywhere, and that's excellent news

AI is everywhere. And that's excellent news.

VivaTech is celebrating its 10th anniversary. New hall, new scale, and a very clear feeling from the first hours: the event has changed in scale, but above all in maturity.

AI is no longer a promise we project. It has become a standard we deploy.

From demonstration to intention

Agents, copilots, automation… demonstrations are everywhere. But what strikes you is not only their sophistication. It’s their intention.

They are no longer trying to impress. They are trying to prove, to deliver, to transform.

We are no longer talking about experimentation.
We are talking about impact.

This shift in posture is at the heart of this first day.

The real question: impact at scale

The conversations are evolving. On the booths as in the panels, the question is no longer “what AI can do”, but “what it actually does at scale”.

• How do you move from POC to production?
• How do you guarantee reliable results?
• How do you create measurable value?

But behind these themes, a common thread emerges.

The real challenge is not AI itself.
It's what makes it possible.

Data.

Data, the condition for industrialization

These words come up systematically as soon as you talk about industrialization.

This observation is not new, but it is becoming structural.

AI does not depend solely on models. It depends directly on the quality of the data that feeds them.

For more than ten years, data has been presented as a strategic asset. It is everywhere in the speeches, in the plans, in the investments.

Yet, in operational reality, it remains difficult to fully and reliably exploit.

The reason is less technical than a matter of approach.

Data is still mostly treated as an object to be documented.

But this approach was designed for a different world.

From a stock to be structured to a flow to be understood

Today, that frame no longer matches reality.

Data flows continuously between systems. It feeds operational processes. It directly feeds AI models in production.

In this context, frozen data, described at a single point in time, is no longer enough.

It must be understood in its dynamics.

What this first day of VivaTech makes particularly visible is this evolution.

We see an approach emerging in which data is no longer considered only as a stock to be structured, but as a flow to be understood. A system in motion.

A system where we seek to connect:

This shift changes the very nature of the question.

It is no longer only about knowing whether a data point is correct. It is about knowing whether it is reliable for the use we make of it now.

This nuance is essential in a world where decisions are automated and continuous.

What this day’s discussions show is that AI performance is no longer decided only at the model level. It is decided in the ability of organizations to understand and master their data systems over time.

This movement is still under way. It is not uniform. It is not fully stabilized. But it is clearly set in motion.

And it is progressively redrawing the way innovation produces value.

A quiet but structuring transition

This first day of VivaTech highlights a transition.

We are moving from a world where AI impresses to a world where it must deliver reliably.

And in this shift, data takes a central place. Not only as a resource. But as a condition of possibility.

AI will keep progressing, spreading and transforming. But its ability to produce value will depend more and more on how organizations understand, connect and master their data.

This may be the most important signal of this first day.

Are you at VivaTech this week? Meet the Vokse team on site to discuss the shift from data piloting to impact.

Next: VivaTech Day 2 — from machine to data, and from data to AI.