Build Google Slides from Data with AI

Hosted by Shane Butler, Sravya Madipalli, and Hai Guan

Wed, Jul 22, 2026

5:00 PM UTC (1 hour)

Virtual (Zoom)

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Automate AI Evals with Claude Code
Shane Butler
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What you'll learn

Turn an analysis into a slide deck by prompting

Go from a finished analysis to a clean, presentation-ready deck by describing what you want, no manual formatting

Write titles that state the takeaway

Make every slide title carry the point, so the deck reads like a story instead of a pile of charts.

Keep the numbers on the slide honest

The quick checks that catch a chart that overstates the result, so you never present a number you cannot defend.

Reuse it for your next readout

Turn the whole flow into a template and prompt pack you can point at the next analysis and rebuild in minutes.

Why this topic matters

What if your analysis could turn itself into a clean deck? The slow part of a readout was never the thinking, it was the hours spent formatting charts, wording titles, and lining up boxes. AI can now do that part in minutes, which means the real skill is telling the story clearly. This session is the full workflow from data to a presentation-ready Google Slides deck with AI

You'll learn from

Shane Butler

Co-founder, AI Analyst Lab

Shane Butler is a Co-Founder of the AI Analyst Lab. Previously he led evaluation strategy for AI product development in the legal tech domain. He has more than ten years of experience in product data science and causal inference, with prior roles at Stripe, Nextdoor, and PwC. Shane is also the co-host of the AI podcast Data Neighbor, where he interviews product, data, and engineering leaders who are pioneering the next generation of data science and analytics in an AI-driven landscape.

Sravya Madipalli

Senior DS Leader (Ex-Microsoft)

Sravya Madipalli is a Senior Manager of Data Science with 14+ years of experience helping teams make better decisions with data. She has built and led data science and product analytics teams at Microsoft, eBay, Nextdoor, and Superhuman (prev. Grammarly), working closely with product, engineering, marketing, and leadership. Her expertise spans experimentation, metrics design, modeling, analytics, and translating complex user behavior into clear, actionable insights.

Hai Guan

Head of Data at Ontra, Ex-LinkedIn

Hai Guan leads the data organization at Ontra, the leading legal tech AI solutions for private markets. He previously led Data Science & Analytics at LinkedIn, Nextdoor, Pinterest, and Meta. He's spent a decade teaching product development teams how to ask questions that actually drive decisions—and now teaches how to combine that judgment with AI to move 10x faster.

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