Stream: AI
Time: 11:45 - 12:45
Digital transformation has drastically changed the way we do business. Like fraudulent cases in the industry, your system availability could be threatened by bad actors in the systems or applications. As a result, your client experience will be negatively impacted. This presentation focuses on how IBM Z Anomaly Analytics with Watson Machine Learning can be leveraged to empower you with proactive anomaly detection in addition to your traditional automation tools. The author shares top 10 observations and results from client's real problem cases among z/OS, Coupling Facility, Db2, VSAM RLS, CICS, IMS, MQ, DFSMS, TCP/IP, and security SMF and log contents which may impact your system availability and end user response time. Learn how to use new AI Machine Learning enabled technology to become more proactive! The objective is to catch the exceptions early before the outage. Come and see a live demonstration of AIOps in Action.
There is currently no attachment for Real Client Cases: Boosting IT Resiliency Using AI Machine Learning Enabled Solutions on IBM Z
Email: lihwang@us.ibm.com
Click here to give some Feedback so we can make it even better next year!