Trend 10: AIOps gain momentum with open-source

AIOps comprise seamless monitoring, data gathering from various apps, devices (sense), intelligent correlations, insightful analytics, and zero touch automation as the primary solution pillars. It is leveraging low-code, configuration-driven, cloud-native, open-source solutions to take enterprise Ops intelligence and productivity to the next level. It is augmenting the decision makers with the right problem management insights (think), eliminating humans in the value chain where it could be automated (act). With AIOps, enterprises can devote more resources to business issues than IT issues. It is also helping move enterprises from reactive to proactive to predictive and pre-empt the disruptions and execute possible resolutions. To further enhance innovation speed, enterprises embrace Agile innovative practices, including Living Labs, Hackathons, etc. and rapidly interweaving the output with the IT processes. IT provisioning is evolving into the cloud and serverless, as a service-based appliance than the traditional hosting, making it faster, cheaper, secure, and more resilient. To support AIOps, platforms and tools are becoming more integrated and selfsufficient. All these result in lower OpenX for support and increased opportunity space due to avoidance of disruptions. As this space matures, we see it evolving into AIOps as a service through cloud subscriptions, and would integrate with newer forays like AR/VR, IoT, 5G to take Ops to the next level.

A global CPG player wanted to revamp its operations into intelligent AIOps. Infosys helped it deploy self-service through intelligent chatbots, intelligent ticket routing, and auto resolution using robotic process automation. Real-time monitoring and dashboards helped the company to get a live pulse of apps, infra, and associated disruptions. Beyond the traditional incidents-based measures of change initiative impact, the self-service system also measured net promoter efficient system.