Nolan Nabeth - Speaker on intelligence artificielle

Artificial intelligence is advancing at a speed rarely seen in the history of tech. In just a few years, we have moved from simple chatbots to agents capable of reasoning, planning, and acting independently. More and more powerful models are being released each month, tools are entering the daily lives of businesses, and debates about regulation are multiplying. But where are we really headed? This conference, organized with Alyra, revisits the major news in AI and what they indicate for the future.

Meanwhile, Web3 continues its transformation. After cycles of euphoria and doubt, blockchain is finding more concrete uses: tokenization of real assets, digital identity, payments, decentralized governance. The sector is structuring itself, regulating, and gaining maturity.

These two worlds seem distant, yet their trajectories are increasingly intersecting. On one side, AI needs trust: knowing where data comes from, proving that content is authentic, avoiding all power remaining in the hands of a few giants. Web3 precisely brings traceability, transparency, and decentralization. On the other hand, blockchain benefits from becoming simpler and smarter, and AI agents can now hold a wallet, execute transactions, or analyze smart contracts.

Nolan Nabeth, founder of Mind W3B, takes stock of what is already working, what still falls under the promise, and the paths to follow for the coming years. The intervention remains concrete and accessible, whether you are a simple curious person or a professional in the field.

Artificial intelligence is knocking at the door of dealerships, and the automotive sector is asking the same questions as everyone else: where to start, what is concrete and what is still just a marketing promise? Between those who fear being left behind and those who expect miracles from technology, there is room for a clear and reasoned discourse. That is what I am here to deliver.

In this conference, I speak directly to dealership and car shop center professionals, without technical jargon and without overselling anything. We look together at what AI can really bring to each stage of their activity: customer relations and follow-up, inventory and vehicle management, commercial performance, the in-store experience, and the processing of all the information circulating in a network. For each use case, I distinguish what is already mature and exploitable from what is still a projection, so that no one leaves with false expectations.

My stance is simple. The real issue is neither the fear of being replaced nor the fascination with the latest novelty. It is to dare to ask the only question that matters: concretely, what does AI change for a dealership, today and in the years to come? I also address how these professionals can appropriate these tools without losing their essence, while keeping what makes their profession valuable: human relationships and knowledge of the field.

Each participant leaves with a clear vision of the subject, benchmarks to sort the true from the noise, and actionable pathways tailored to the reality of a dealership—not abstract concepts, but levers they can start exploring as soon as they return.

As a guest speaker for AFATE (French Association of Technical Analysts), I spoke on the topic of artificial intelligence applied to finance, in front of an audience of market experts and seasoned analysts. The stakes were high: discussing AI with seasoned professionals who know their job perfectly and expect concrete insights, not generalities.

Together, we exchanged views on the arrival of artificial intelligence in the financial sector and what it truly transforms, beyond the announcements. I approached the subject from the angle that resonates most with this audience: that of investment and decision-making. How does AI help read the markets, enhance analysis reliability, and save time in processing information? Which tools are truly mature, and which still remain promises? Where should we draw the line between trust and caution?

The conference was followed by a particularly rich question-and-answer session. This moment of direct exchange with the audience allowed us to confront the uses of AI with the realities of the financial field, to address the concrete concerns of analysts, and to move beyond preconceived ideas. A demanding presentation, in front of a discerning audience, and a true pleasure as a speaker.