Everyone is an AI expert now. When did your journey start?
My path into AI began with applied mathematics, statistics, and econometrics in 1999. By 2003, at SYAC, my first employer, we were experimenting with computer vision. At Amazon, I worked on AI and automation projects. At AWS AI in 2018, I defined the initial vision and business case for what became AWS's first commercial edge AI device. Today, my work focuses on turning AI capabilities into measurable value.
What is the hardest challenge you have ever taken on?
Pushing the restart button on my career. In 2013, I crossed the Atlantic to attend Stanford and start over in Silicon Valley, leaving behind an equity partnership and a reputation I had spent a decade building. My experience came with me. My status, network, and credibility did not. I traded certainty for a steep learning curve and went all in on becoming an operator. Everything that followed began with the willingness to start again.
Are you fundamentally an advisor or an operator?
Both. I have built products at Amazon, led a startup, run a strategy business, and advised CEOs. My best work starts in the boardroom and ends with customers using something new.
CancerCompass was a hard pivot from consulting. Why?
Healthcare was a chance to build something that genuinely mattered. Within a year, we had a team of 25 reaching millions of patients. The venture later became part of Cancer Treatment Centers of America (acquired by City of Hope).
What did Amazon and McKinsey teach you?
Amazon taught me that speed comes from mechanisms, not urgency. McKinsey taught me how to move complex organizations from ambition to action.
You have been both a McKinsey Partner and a Senior Advisor. What changed?
I left the Partnership to build CancerCompass. When I later returned, it was in a different capacity: as a Senior Advisor brought into selected situations where my operating experience is most useful.
What came before McKinsey and Amazon?
I started in Italy building computer vision systems, advised investors at PwC, and became one of EY’s youngest equity Partners globally. Stanford GSB brought me to Silicon Valley.
Have you ever failed?
At Amazon, I launched and shut down several businesses. Some same-day models failed operationally. Ultra-local marketplaces could not scale. CancerCompass met a healthcare system that was not ready to change. Silicon Valley taught me that the goal is not to win every time. It is to take enough intelligent risks that you do not miss the opportunity to win big.
What do most companies get wrong about AI?
They expect a miracle, and then spread their attention across too many experiments. In the enterprise, what matters most is reliability. Then comes the harder work of choosing the right problem, redesigning workflows, earning trust, driving adoption, and proving the economics.
How do you use AI every day?
A lot. I use it for research, meeting preparation, writing, prototyping, and pressure-testing investment ideas. I have built agents for my workflows, an app tracking how Fortune 500 companies use AI, a digital avatar, and an evolving second brain. Daily use is the only way to know what these tools are good at, and where they still fall short.