The IBM Data Tech Summit - Oct 5-7, 2021 - Streamed live from the IBM Silicon Valley Lab

Starts:  Oct 5, 2021 12:00 PM (ET)
Ends:  Oct 7, 2021 03:00 PM (ET)

Don't miss this great opportunity to attend the 2021 Data and AI Tech Summit that will be streamed live from the IBM Silicon Valley Lab. Register and see the full agenda at https://ibm.biz/IBMDTS2021

IBM is continuing to deliver innovation to help with your digital transformation and hybrid cloud strategy while also taking the greatest advantage of your mainframe application infrastructure and data for key initiatives such as analytics and AI.  Join the event virtually to hear how your organization can benefit from the extensive Data and AI on IBM Z portfolio. 

Eric Siegel, Ph.D will open the IBM Data Tech Summit with a keynote sharing his AI expertise and discussing his recent article titled “Real-time Machine Learning –Why It’s Vital and How To Do It”. Eric is a leading consultant and former Columbia University professor who makes machine learning understandable and captivating. He is the founder of the Predictive Analytics World and Deep Learning World conference series and the instructor of the acclaimed online course “Machine Learning Rock Star –the End-to-End Practice”. 

Unleash mainframe data as part of a data fabric. The data on the IBM Z mainframe supports the most critical applications and is foundational to many downstream applications used by employees and customers. The IBM Z platform and data can play an essential role in today’s data fabric architecture as both a primary source of valuable enterprise data and a high performance, resilient platform to deliver actionable, real-time insight where and when it is needed.  Attend this session to learn more about leveraging IBM Z infrastructure and Db2 for z/OS and other data as part of your data fabric to deliver real-time insight for real-time decisions.

We hope you can join us -- register and see the full agenda at https://ibm.biz/IBMDTS2021

Location

Online Instructions:
Url: https://ibm.biz/IBMDTS2021
Login: Register to join