Dredging the Data Lake: Empowering Modern Data Analytics with AI

Data lakehouses remain the backbone of modern data analytics. Rather than replacing them, AI agents and LLMs are enhancing these platforms and unlocking their full potential. This talk explores how combining AI with SQL-based lakehouse architectures enables organisations to analyse more data, more effectively than ever before. By extending beyond structured data, emerging agentic lakehouses can tap the full depth of the data lake and interrogate unstructured content such as text, images, and audio. Embedded AI functions and natural language interfaces also make true self-service analytics possible, empowering more users to explore data and derive insights with confidence.

An understanding of data lakehouses and their relation to warehouses and lakes. Learn new ways to analyse previously inaccessible data using SQL. Discover methods of using AI in analytics, including as an in-platform productivity assistant and as an AI Agent.