with
Shelby Heinecke, PhD
(Salesforce)
,
Benn Stancil
(Mode)
,
Joe Reis
(DeepLearning.AI)
,
George Fraser
(Fivetran)
talk-data.com
Speaker
Joe Reis
2
talks
founder
DeepLearning.AI
Joe Reis is a data professional with 20 years in the data industry, known as a "recovering data scientist" and a business-minded data nerd. His experience spans statistical modeling, forecasting, machine learning, data engineering, and data architecture. He is the co-author of Fundamentals of Data Engineering (O'Reilly, 2022).
Bio from: Small Data SF 2025
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For years, data engineering was a story of predictable "pipelines": move data from point A to point B. But AI just hit the reset button on our entire field. Now, we're all staring into the void, wondering what's next. While the fundamentals haven't changed, data remains challenging in the traditional areas of data governance, data management, and data modeling, which still present challenges. Everything else is up for grabs. This talk will cut through the noise and explore the future of data engineering in an AI-driven world. We'll examine how team structures will evolve, why agentic workflows and real-time systems are becoming non-negotiable, and how our focus must shift from building dashboards and analytics to architecting for automated action. The reset button has been pushed. It's time for us to invent the future of our industry.