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Today’s application landscapes are increasingly hybrid and complex, and often include IBM Z. It is essential to take a holistic approach to IT operations. The challenge becomes: How do you effectively sift through terabytes of data in real time to identify an issue before it becomes an outage?
Learn how to proactively detect incidents faster and avoid issues altogether, with an AIOps solution that includes mainframe-based applications. IBM Watson AIOps now supports IBM Z to enable your teams to confidently discover, assess, and resolve incidents across mission-critical applications that include IBM Z.
Join us as we demonstrate AI-driven incident detection and problem resolution for a hybrid application with the backend running on the mainframe.
Tim Brooks is an IBM Offering Manager in the IBM Z Service Management area currently focusing on hybrid integrations and artificial intelligence for IT operations. He has worked for IBM for more than 3 years and has contributed to the development of the Zowe open source community and the IBM Wazi for Red Hat CodeReady Workspaces offering.
Kate Brown is a Senior Offering Manager with a breadth of experience including sales, agile transformation for teams, leadership, and is an executive coach. Over the last year, she’s learned the ins and outs of AI, IT, and has worked extensively with customers to listen and learn. In her spare time, she is the executive producer for the podcast Making Data Simple and lives in Colorado Springs, CO