Hi 👋
I am Managing Director, leading AI acceleration at EQT Digital. Previously, I was the Chief Architect at EQT Group's Motherbrain and EQT Tech. My work primarily revolves around AI and analytics, digital transformation, enterprise systems, data, and process automation. I spent the first part of my career doing Business Technology at firms like Spotify, KPMG, and Accenture.
Here are some random facts about me: I keep my skills up-to-date by trying out at least one new software every day. I am the proud author of the first AI Patent in Private Equity and have recently been awarded as one of the Top 20 Data-Driven VC Thought Leaders.
Keep on reading to learn a bit more or come and find me on in/pietrocasella or 𝕏/@pietrocasella.
<aside> <img src="/icons/light-bulb_lightgray.svg" alt="/icons/light-bulb_lightgray.svg" width="40px" /> Currently, my writing and thinking are primarily centered on the future of applications and business, as well as strategies for companies that are embracing AI.
</aside>
<aside> Here I dissect emerging patterns in AI experience design and contrast it with User experience design.
AI Experience Design: Redefining Interaction in the Intelligent Era
</aside>
<aside> This conversation, where Markus Zirn and I first discussed the idea of a zero person unicorn, also known as Full Self-Driving (FSD) for companies, is one of my favourites.
Your AI Is Only as Good as Your Data
</aside>
<aside> <img src="/icons/light-bulb_lightgray.svg" alt="/icons/light-bulb_lightgray.svg" width="40px" /> About the AI strategy, the new AI data stack and how investors should think about the AI revolution
</aside>
5 Perspectives on the State of Digitization in Venture Capital from Pietro Casella (EQT)
GenAI in Private Equity: Impact 1 Year After ChatGPT's Debut - Gain.pro
<aside> <img src="/icons/light-bulb_lightgray.svg" alt="/icons/light-bulb_lightgray.svg" width="40px" /> In this seminal article, Patrik Tran and I laid out the emerging AI stack. It remains a primer and is mostly up-to-date.
AI's next frontier: building and investing in Large Language Models
</aside>
