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BlogMarch 14, 2026 · 4 min read

A new beginning

Octave Olivetti
A new beginning
Every blog needs a first post. And since it's the first, let's get straight to the point. I'm starting this blog at a time when a lot of things are shifting at once:
  • Data is changing
  • AI is changing
  • Products are changing
  • Expectations are changing
And with them, the way we work has to evolve. AI is often described as a technological revolution, or even as the new industrial revolution. That's not wrong. But it's only part of the story. AI and Big Data have been around for a long time. What's different today is their accessibility, their power, and above all the way they're being woven into businesses, products, and organizations. AI sits at the crossroads of several worlds: engineering, product, security, privacy, law, operations, work organization, and ultimately, the very way a company decides, learns, and moves forward. And even if some aren't convinced yet, it's here to stay. Because it's both a powerful tool and an essential glue for building today's systems. The topic goes far beyond tools alone. What's playing out today isn't just the arrival of new solutions, it's a bigger shift. Value is moving. Roles are being redrawn. Yesterday's best practices aren't always enough to answer tomorrow's questions.
« Nothing is lost, nothing is created, everything is transformed. »
And that's precisely what interests me.
You might think AI makes everything simpler. In a way, that's true. Some tasks become faster. Some access is democratized. Some barriers fall. You can test faster, produce faster, explore faster. But this apparent simplicity hides another reality: the real decisions become more important. When many things become accessible, what matters is no longer just knowing how. What matters is knowing what to do, why to do it, in what order, with what constraints, and for what outcome. Value shifts toward judgment, architecture, the ability to connect the dots and understand trade-offs. It moves toward everything that makes it possible to build robust, lasting systems: production readiness, security, governance, and legal. In short, less fascination with novelty alone, more rigor in what we actually build and how we build it. End to end.
It's in this context that I decided to launch UpperCase (my data and AI consulting company) and open this blog on olivetti.ai. Technical, strategic, and organizational lines are intersecting more than ever. This is a moment that demands deep understanding, clear explanation, and serious execution, all at once. After more than three years within the Galeries Lafayette group as a Data Engineer then Data Manager, followed by three years at Guerlain as Data Platform & Privacy Manager, I've worked on topics where the vocabulary changes fast, but where the real questions remain remarkably stable: How do you build useful, robust systems, bridge business, engineering, and legal, integrate privacy and security without stalling progress, and deliver value without losing control? And they're the ones that now drive me to go further. In a freer, more direct, more demanding setting. To build on what I've learned, but also to keep learning, exploring, and sharing. Moving from a permanent role to independence is, in my case, a way to position myself as close as possible to the next transformations.
This blog will cover data, AI, architecture, privacy, cybersecurity, governance, production, products, organization, and more broadly the new ways of designing useful systems. And sometimes what happens at the intersection of all of these.
I'm as interested in foundations as I am in emerging solutions.
So we'll talk about concrete topics: data platforms, quality, delivery, security, architecture, performance, steering, technical choices. But also about what AI is changing more deeply, the way we work, decide, distribute value, and think about roles, teams, and products. Beyond the topics themselves, I want to write about these subjects in a way that's simple, serious, and readable. Explain complex things with clear words. Maintain high standards without falling into LinkedIn jargon. And above all, try to see a little further than the noise.
I believe the coming years won't just be defined by new tools, but by a new way of designing, working, deciding, training, securing, and governing. The companies that will do best won't be the ones that adopted every new thing the fastest, but those that understood how to turn this acceleration into systems that are ambitious, coherent, secure, useful, and lasting.
That's where I want to stand. At the place where technology meets strategy, where innovation meets responsibility, and where AI stops being an isolated topic and becomes a force that reshapes the whole picture.
This first post isn't a manifesto. It's more of a starting point. A way of saying where I come from, what interests me, and why I chose to open this space now. What follows will be about AI, of course, but not only. Looking forward to sharing all of this with you. Welcome.
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