You are invited!
IBM zSystems has been the leading pioneer for mission critical businesses to operate and grow for more than six decades. AI and Machine Learning for IT Operations on IBM zSystems starts here.
Come and join this Technical Briefing to learn about IBM’s AI strategy and why it matters for accelerating your IT resiliency in support of your business growth. The event will feature industry leaders sharing common use cases with problem solving scenarios to show how AIOps can enhance your system management framework.
This technical briefing is free of charge. Registration is required. Registrants will be placed in Pending Approval status and will be notified of approval when it is made. Please bring a photo ID with you to present at visitor check-in front desk when you arrive.
Audience: IT operations, IT administrator, site reliability engineer, sysprog, automation administrator, IT manager, technical support, application performance analyst
Agenda:
Time |
Topic |
08:30
|
Registration and Continental Breakfast |
09:00
|
Welcome and Introductions |
09:10
|
IBM AI Strategy Elpida Tzortzatos, IBM Fellow – CTO AI for IBM zSystems
|
10:00
|
Break |
10:15
|
Proactive issue identification using AI and Machine Learning technologies |
11:15
|
Break |
11:30 |
Modernizing systems management infused with critical new insights |
12:30 |
Networking and Lunch *** Provided by IBM *** |
13:15 |
Announcement: AIOps Community Web Site |
13:30 |
Enterprise Observability with Instana and intelligent IT Operations |
14:45 |
Wrap-up, Feedback, Closing Remarks |
Featured Speaker: Elpida Tzortzatos
|
Elpida Tzortzatos is an IBM Fellow and CTO AI for IBM zSystems. During her IBM career, Elpida has driven industry-leading infrastructure innovation into the zSystems platform. Her achievements have influenced every layer of the IBM zSystems stack, contributing to many products and enhancements driving significant customer value. Her current responsibilities include leading the AI strategy for IBM zSystems focused on infusing AI into business-critical workloads. |
For inquiries, please contact your IBM representative or Lih M. Wang – lihwang@us.ibm.com .