Building Context for Agents with Skills

Rachel Herrera has spent over a decade in the space between the data team and everyone else, translating the technical into something the rest of the business can actually use. She's led enterprise customers through pre-sales, implementation, and adoption at Amplitude, Slalom, and now Hex, where she works as a product evangelist focused on the question reshaping her field: as AI takes over the mechanics of analysis, what does the data role become? Her work spans building AI agent skills, writing about applying AI to analytics, and helping data teams get more out of AI-powered workflows, from context engineering to how the role shifts as SQL gets commoditized.

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.

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.

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.