One team in Global Tax Data used AI to reimagine how they work together — from automating month-end data validation that used to take days, to building an agent that translates code into plain English for compliance reviews. On this episode, members from Amazon’s Global Tax Data team share how "AI Solution Jams" (teach, demo, create) helped them scale AI experimentation across six countries and land three ideas in a finance-wide hackathon. Their biggest tip: it's about the habit, not the heroics. Start with the most repetitive thing in front of you and build from there.

Guests: Chris Jocson, Parmi Makh, and Raksha B from Global Tax Data team.

​Carving out hours for exam prep feels impossible when you're juggling deliverables, launches, and meetings. On this episode, Sery Cybulski shares how she used AI to pass multiple AWS certifications with just 30 minutes a day. Her approach: tell AI exactly what you don't know, let it build a tailored study plan, and when you get questions wrong, feed them back so it adapts to your gaps. No cramming required.

​Guest: Sery Cybulski, Senior Program Manager, AWS Support Engineering

One team at AWS used AI at every step to build Kate Spade’s AI "gift concierge" — a shopping assistant that asks customers what they need and narrows options through conversation. On this episode, David Dorf shares how they went from concept to live product in 12 weeks. His biggest tip: you don't need a perfect idea. Keep a backlog, present a rough one to AI, and let it research and refine until you pick up momentum.

Guest: David Dorf, Global Head of Retail Industry Solutions, AWS