How to scale AI workloads taking an open data lakehouse approach

Scale AI Workloads for All of Your Data, Anywhere

Register now.

Date: Thursday, July 27, 2023

Time: 11:00 am PT / 2:00 pm ET

Data lakehouses are fast becoming a solution for data-driven enterprises attempting to scale AI, combining the performance of a data warehouse with the flexibility and cost effectiveness of a data lake. An open data lakehouse approach can:

  • Simplify data access
  • Automate governance
  • Dramatically reduce the cost of a data warehouse

IBM has created a solution with, a fit-for-purpose data store based on an open lakehouse architecture, supported by querying, governance, and open data formats to access and share all your data.

Join us and learn how can help your organization successfully scale analytics and AI workloads for all your data, hear from industry experts on the benefit of an open lakehouse approach, and see live in action.

Register today!


Navjot Bhogal
Vice President and Global Head for the Cloud Business
STL Digital

Edward Calvesbert
Director of Distributed Databases within Data and AI

Joseph Krozak
Krozak Information Technologies, Inc.

Eduardo Monich Fronza
Partner Solutions Architect
Amazon Web Services