AIOps for Data Center Resiliency – Dan Wiegand, IBM

Today’s application landscapes are increasingly hybrid, complex, and often include IBM Z in large enterprises. With limited staff, how do you effectively sift through terabytes of data in real-time to identify an issue before it becomes an outage? That’s why organizations are drawn to the promise of AIOps to leverage AI-driven intelligence to make quick and accurate decisions to maintain resiliency. This session looks at how you can accelerate your journey to AIOps by leveraging the wealth of operational data on IBM Z. Cut through the noise to Detect problems faster, determine root cause to Decide best course of action, Act in collaborative and automated way to reduce customer impact.

Bio
Dan Wiegand is the Senior Offering Manager for IBM Z Common Data Provider and IBM Z Operations Analytics, bringing visibility and insight into IBM Z. In his 23 years at IBM, he has performed multiple roles across development, architecture, and offering strategy for both IBM Z and IBM Cloud solutions. Dan has an extensive background in IT Service Management.