Syllabi

Weekly insights on navigating the world of Data & AI - bridging corporate strategy and academic research.

Subscribers get new posts a week before they appear on the site.

Latest by Theme

Each week we explore a different aspect of the AI landscape.

Week 1
Skills for Careers

The Hidden Tax of Being the AI Person on Your Team

Listening is not learning, and teaching is not doing. If you are the AI person on your team, the bill for that confusion comes due the first time an advanced user asks you something you should have built but only ever explained.

May 28, 2026
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Week 2
Corporate Experiences

How Do We Know AI Is Making Our Job Better

The spreadsheet did not send the banker home earlier. It just produced twelve scenarios instead of one. Every company plugging AI into the same workflows is walking into the same trap, and the usage dashboards we built to prove otherwise are R-squared with no adjustment.

Jun 3, 2026
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Week 3
Fun Tools & Experiments
Latest

The Corporate Trade Machine

Sports prices every player in the league, ruthlessly and in public, and the league survives it. Corporate America has decided the question is unaskable. Take Bill Simmons' half-baked-idea approach to the white-collar talent market, and the layoff starts looking like waiving half your roster for nothing.

Jun 11, 2026
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Week 4
Technical Learnings

Are Your Agents More Effective Than Happy Gilmore's Putting?

Every wave of AI tools gives us a new capability and we race to do more of it. A decade later, nothing ships. The work has never been the tool. It is always the layer underneath it.

May 10, 2026
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Content Calendar

Every month, we rotate through four distinct themes - each week bringing fresh perspectives.

Week 1

Skills for Careers

Practical skills and competencies to advance your career in AI and data.

Week 2

Corporate Experiences

Storytelling and lessons learned from the boardroom and beyond.

Week 3

Fun Tools & Experiments

Exploring interesting AI tools, creative experiments, and hands-on demos.

Week 4

Technical Learnings

Deep dives into technical concepts, frameworks, and implementation details.

This cycle repeats monthly, so you get a well-rounded view of the AI landscape.