Join us for The Evolution of Data Warehouses and the Role of AI/ML, an event on Tue, Nov. 12, 2024 at 7pm at SEMI, 567 Yosemite Drive, Milpitas, CA 95035. (Also available via Zoom – see https://californiaconsultants.org/event/the-evolution-of-data-warehouses-and-the-role-of-ai-ml/)
We’ll have free quality pizza and drinks starting at 6:30pm. Come early and network with our members, other engineers, interested parties, and possible consulting clients. A Zoom option for this hybrid event is at www.CaliforniaConsultants.org
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.
Suresh Bysani is responsible for leading core SaaS and AI infrastructure at Eightfold.ai, managing platform and infrastructure for a B2B2C product with 100 million active users. He oversees search, data, OLAP, serving stack, and AI infrastructure. With over a decade of experience, Suresh is passionate about scaling systems.
Suresh was previously an early engineer at Cohesity, a distributed data platform providing Backup as a Service (BaaS). At both Cohesity and Eightfold, he has worked closely with Fortune 100 and 500 companies by helping to solve complex infrastructure challenges at scale.
