UPDATED: The Evolution of Data Warehouses and the Role of AI/ML

This is a hybrid in-person and online event. Pre-registration is required for either.
PLEASE NOTE: This talk replaces our earlier SCORE talk which needed to be cancelled.
This talk will explore the evolution of traditional data warehouses into modern lakehouses, driven by advancements in AI and machine learning (ML). Included will be an examination of the limitations of first-generation data warehouses, which were optimized for structured data and batch processing, but which struggled with the unstructured, real-time data required for AI applications. These warehouses have evolved into data lakes to support the increased demands of AI/ML workloads, while addressing their challenges for business intelligence (BI).
In this talk, Suresh Bysani will describe the lakehouse architecture, which integrates the best of data lakes and warehouses by offering a unified platform for real-time analytics and ML. The talk will also dive into the latest in-product analytics development, as well as how AI-driven queries are reshaping how organizations provide insights directly through their products by leveraging AI for more interactive and intelligent decision-making.
Speaker(s): Suresh Bysani,
673 South Milpitas Blvd., Milpitas, California, United States, 95035, Virtual: https://events.vtools.ieee.org/m/440391