You are invited!
Would you like to see how you can take z/OS and subsystem monitoring to the next level with AI Machine Learning powered solution for faster problem resolution?
Attend our IBM Z Anomaly Analytics workshop to explore how AI Machine Learning has been leveraged to identify anomalous behaviors for z/OS system health assessment. The IBM instructors will provide a technical overview of the product, followed by a self-paced firsthand lab and live Q&A. We provide a lab guide to walk you through Db2 performance scenarios using embedded AI-ML with intelligence.
Join us for this virtual workshop to explore real world scenarios and dashboards on live z/OS systems. This event is complimentary. Registration is required and seats are limited. Sign-up today!
Audience: Mainframe zSystems performance analysts, IT operations and technical support, data scientists for system management, application performance analysts
Agenda:
Time Topic
1:00 PM EDT
Introduction
1:05 PM
Proactive issue identification using IBM Z Anomaly Analytics with Watson – a technical overview
1:30 PM
Hands-on lab starts
IBM Z Anomaly Analytics Problem Insights User Interface
Review Machine Learning scorecards using DB2 performance records
Explore and interpret Machine Learning detected anomalies
Assess system health condition for taking actions proactively
2:30 PM
Q&A, demo upon request
2:50 PM
Feedback, survey
3:00 PM
Workshop ends
For inquiries, please contact IBM Technical Specialists Paul Hall at phall@ca.ibm.com or Lih Wang at lihwang@us.ibm.com.