Speaker on artificial intelligence, digital marketing and leadership

Every week, new tools promise to revolutionize the way we work. Companies announce major transformations, experts multiply their predictions, and it can be hard to tell what truly deserves our attention.

I know that feeling well. Even though I work with these technologies every day, I sometimes find that everything is moving a little too fast.

This talk takes a step back from the artificial intelligence race. We explore what these tools can really do, the changes they bring to our organizations and the human skills that are becoming especially important to preserve.

The goal is to better understand what is happening and to regain a certain freedom in our technology choices.

Audience: Executives, managers, professionals and teams going through transformation.

Artificial intelligence can write text, analyze data, produce code, create images and handle an impressive number of tasks.

But between a spectacular demo and a tool that is genuinely useful day to day, there can be quite a gap.

This talk explores what generative AI makes possible today, the limits we need to understand and the conditions that help organizations adopt it.

Through concrete examples, we look at the possible gains, the risk of errors, new ways of working and the questions managers should ask before investing in these technologies.

Audience: Leadership teams, managers and professionals who want to understand practical applications of AI.

For years, companies learned to make themselves visible in search engines. They invested in SEO, digital advertising and website optimization to attract consumers.

Today, habits are changing. More and more questions can be asked directly to conversational assistants that offer answers, comparisons and recommendations.

What happens to a brand’s visibility when consumers no longer necessarily need to visit its website?

This talk explores how online search is changing, new discoverability practices and the impact of AI on marketing strategies.

We also discuss the limits of traditional metrics and the new questions companies need to ask to assess their digital presence.

Audience: Marketing professionals, executives, retailers, digital leads and communications teams.

We have grown used to looking for answers online. For a few years now, we can also talk with systems that explain complex subjects, respond to our objections and adapt their answers to the way we think.

It is convenient. Sometimes even reassuring.

But what happens when a convincing answer is wrong? When an assistant too readily confirms what we already believe? Or when someone starts trusting an algorithmic answer more than a professional?

This talk explores the mechanisms of trust, cognitive biases, disinformation and the new forms of influence that come with artificial intelligence.

It looks at a question that particularly concerns me: how do we keep our ability to question things when answers become so easy to get?

Audience: Professionals, executives, educators, public organizations and professional associations.

When you lead a team, there is always something to improve, a new technology to assess or a transformation to prepare.

The arrival of artificial intelligence adds extra pressure. We keep hearing that we must move fast, train our teams, rethink our processes and avoid falling behind.

But how do you move an organization forward without wearing out the people who keep it running?

This talk draws on my experience as an entrepreneur and manager to explore the challenges of leadership in an environment where technological change comes in rapid succession.

We talk about learning cultures, change management, decision-making and the place of human judgment in increasingly tool-equipped organizations.

Audience: Executives, managers, entrepreneurs and transformation leads.

It has become fairly easy to experiment with artificial intelligence. A few minutes are enough to test a new tool, automate a task or generate content.

The consequences of those choices are sometimes less obvious.

What happens to the information we share with these systems? How do we recognize an answer that is plausible but wrong? What is the environmental impact of using them? And how far should we delegate certain decisions?

This talk offers an accessible look at the ethical, social and environmental issues of artificial intelligence.

I make the case for thoughtful adoption, one that accounts for the real benefits, the risks and the responsibilities of the people who use these technologies.

Audience: Public and private organizations, professional associations, managers and teams who want to develop a responsible use of AI.