Enterprises of all sizes contend with complex hybrid cloud IT environments and rely on operations teams to be able to move from detecting an issue to deciding the cause quickly and accurately. AI powered solutions can help accelerate complex problem resolution across silo subsystem boundaries. This webinar will take you through a complex scenario that may liken to a day in the life of your operations team as they work though issues, obtaining faster problem resolution using IBM Z AIOps solutions.
Luke de Kansky is a world-wide sales leader for IBM Z software responsible
for AIOps and IT Automation, bringing a wealth of experience spanning 26 years of sales leadership across multiple industries and geographies. Luke has held multiple positions across IBM Z middleware and DevOps solutions before moving to his current position where he is dedicated in helping IBM Z clients improve the resiliency of their mission critical systems and applications by leveraging automation and AI solutions.
Dan Wiegand is a Senior Product Manager at IBM focusing IT Operations Analytics and AI Ops for IBM Z. He is currently responsible for solutions that bring insight into IBM Z operational data by leveraging machine learning various analytics technology. In his 23 years at IBM, he has taken 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.
Wolfgang Schaeberle is an IBM Product Manager in the IBM Z Service Management area focusing on collaboration and integration solutions. Prior to his current role, Wolfgang has been the technical leader for IBM Service Management Unite. He has worked in multiple disciplines of Systems Management, especially automated operations, business resilience and performance management. In addition, he has a strong background in user experience design as well as application development.