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Latest Videos

Building a Gen AI Wine Country Visit Assistant with Fivetran and Google Cloud

Discover how to build a powerful Retrieval Augmented Generation (RAG) application that that changes the way you explore California’s wine country. Using the latest technologies from Fivetran and Google Cloud, this tutorial will guide you through the creation of a Gen AI-powered travel assistant that integrates structured data with advanced Gen AI capabilities.

Special episode: Hybrid Deployment, AI & data: Fivetran's vision for the future of innovation

Fivetran’s Chief Operating Officer Taylor Brown and Chief Product Officer Anjan Kundavaram share their insights on the rapidly changing data landscape and the role of Fivetran’s Hybrid Deployment in addressing today’s security and scalability challenges. They also explore key trends in data management and share predictions for AI and data strategy in 2025.

Episode 11: The future of data lakes: Open table formats, metadata and AI | AWS

Paul Meighan, Director of Product Management at AWS, shares how enterprises are increasingly looking for ways to integrate more data sources in their environment — especially with data lakes. From turning S3 buckets into databases to establishing better metadata layers, Meighan explores the rapid evolution of data lakes alongside data warehouses. He also explains the pivotal role AI, ML and GenAI workloads and applications will play in large metadata environments, driving innovative analytics and business insights.

Special Episode: How to make generative AI a reality | Capgemini

George Fraser, CEO of Fivetran, Bob Muglia, former CEO of Snowflake, and Steve Jones, EVP of Capgemini discuss the challenges and solutions to creating mature, production-ready generative AI models. It’s not just about algorithms or data — success lies in effective data management.

How modern query engines make governed data lakes accessible | Fivetran & Starburst

George Fraser, CEO of Fivetran, and Justin Borgman, CEO of Starburst, dive into the competitive landscape and evolution of modern query engines and data lakes. Discover how Starburst’s Trino engine and open table formats like Iceberg drive agile, scalable data solutions for AI innovation while enabling governance and other capabilities normally associated with data warehouses.