This week on The Data Stack Show, AI entrepreneur Alberto Rizzoli shares his journey from early computer vision breakthroughs to leading the automation of back-office workflows at V7. The discussion explores the shift from bespoke model training to configurable AI solutions, the impact of automation on business roles, and emerging best practices for integrating AI into enterprises. Listeners will gain insight into how AI infrastructure is moving from labs to everyday businesses, which roles are most vulnerable or secure amid automation, and why future-proofing your career means focusing on creativity, first principles, and continuous improvement. Don’t miss it!
Highlights from this week’s conversation include:
- Setting the Stage: AI’s Hype and Today’s Innovations (1:16)
- Alberto’s Non-Tech Passions: Physics & UX (4:04)
- The Paradigm Shift: Machines that Adapt (6:22)
- Scaling AI: From Niche Apps to Mainstream Use (8:23)
- Large Models vs. Bespoke Solutions—Power Law in AI (11:07)
- Evolving Roles: From Engineer to End User (14:14)
- Simple vs. Complex AI Implementations (18:14)
- When to Scale from Simple AI to Production-Grade (22:40)
- Capturing Tacit Knowledge: Crowdsourcing vs. Centralization (27:22)
- The Challenge of Unstructured Process Documentation (30:08)
- Practical Impact: AI-Enabled Enterprise Leverage (33:29)
- ROI: Time Saved & Compound Effects in the Enterprise (38:08)
- Redefining Information Movers vs. Information Creators (44:14)
- Roles at Risk and the Case for Creativity (45:30)
- Alberto's Favorite New Tech & Future of User Experience (46:00)
- Spreadsheets, Business Logic, and AI’s Next Leap (48:41)
The Data Stack Show is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.
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