What inspired you to become an expert in AI?
I’m not a fan of the term “expert”—I see myself more as an AI enthusiast. I like to approach AI from an outsider’s perspective, staying grounded and avoiding the hype. My journey started with a background in computer science and early experience as a developer. About 7–8 years ago, during the rise of big data, I decided to specialize in this field and completed a master’s in data science. Looking back, it was the right move. My passion for data—extracting insights, making predictions, and solving problems—made AI a natural evolution in my career.
What will you be speaking about at the conference, and why is it especially important right now?
I’ll be talking about the intersection of humans and AI, with a focus on Agents. Agents are a game-changer—they don’t just provide information; they can autonomously complete tasks. This shift is unlocking new ways to create value by automating processes, driving efficiency, and cutting costs. It’s a critical topic because we’re moving beyond AI as a tool to AI as a true collaborator.
We’re moving beyond AI as a tool to AI as a true collaborator
What key takeaway do you hope attendees will gain from your session?
AI is no longer a promise—it’s here, and it’s real. The challenge now is proving its value. I want the audience to move beyond the hype and focus on where AI can drive the biggest business impact. It’s about seeing through the noise and identifying real opportunities.
What trends or developments in AI excite you and concern you the most?
I’m excited about Agents and the potential of more advanced models fueled by greater data and computation. We’re just scratching the surface, but this also comes with challenges. AI will transform how we work, live, and interact—with each other and with AI itself. My biggest concern is whether society is ready for this shift. Adapting to this new paradigm requires preparation, and we need to learn from past mistakes to navigate the changes responsibly.
What advice would you give to someone looking to develop in AI?
Avoid shortcuts. If you’re serious about a career in AI, focus on building strong foundations. AI is much more than tools like ChatGPT or LLMs—it’s math, algebra, calculus, statistics, data, coding and more. Take the time to master the basics. With so many self-proclaimed “AI experts” out there, real knowledge is what will set you apart.
