[Ep.2]: Superpowering Automated Incident Management with AIOps

Incident Management (IM) is undergoing a dramatic change, in part due to the rise of AIOps. Thanks to AI and ML technologies, IT Operations leaders can now improve automation and gather deeper insights from different aspects of the IM lifecycle. The much-lauded benefits of AIOps include improved cost efficiency and team productivity, improved system performance, lower MTTR, and improved IT Ops reliability thanks to the reduction of human errors - all of which have a significant benefit to the bottom line. As such, Gartner predicts that large enterprise use of AIOps tools to monitor applications and infrastructure will rise from 5 percent in 2018 to 30 percent in 2023. But adopting automation and AIOps to address issues in operations and the software delivery lifecycle is not without its challenges. How do enterprises overcome the barriers - including lack of training, concern over jobs and panic over an ‘all or nothing’ approach - to reap the rewards? In episode 2 of Inside AIOps: Optimizing Incident Management in 2021 xMatters and BigPanda are sharing how. We’re bringing together recognised experts in the field to discuss: - The benefits of AIOps implementation to existing enterprise IT Ops, NOC, DevOps and SRE teams - How AIOps can streamline and automate various aspects of the incident management lifecycle, including correlation, problem detection, root cause analysis, prioritization, sharing, routing and remediation to get to faster, more efficient software delivery - Why moving away from ‘blackbox’ AI and adopting at your own pace is the key to a successful AIOps adoption - What the ROI of a successful AIOps adoption can look like And more - Host: Helen Beal - Chief Ambassador, DevOps Institute - Guests: Anirban Chatterjee - Director of Product Marketing, BigPanda and Eric Maxwell - Solutions Architect, xMatters