Achieving AI-driven IT operations
A recap of the industry’s first AIOps summit
More than 2,000 people registered for the industry’s first AIOps virtual summit hosted by CA Technologies—an event that brought real-world expertise and hands-on guidance from industry leaders on AI, machine learning (ML), and analytics.
Tom Davenport, the President’s Distinguished Professor of IT and Management at Babson college, began the summit discussing how AI can bring augmentation with humans and computers combining their strengths to garner outcomes neither could accomplish alone. Augmentation is beginning to happen now as AI is being piloted and deployed most heavily in IT.
“In the past, in manufacturing, we talked about the factory. Now, in many cases, IT Operations is the factory. You just can’t survive without it operating effectively and smoothly. So, I think there’s not much doubt that AIOps is the way this is going to move,” Davenport explained in his keynote.
The type of AI and automation projects that usually garner the most attention are the “moon shots,” big ambitious implementations of AI/ML. However, Davenport sees most of the work in AIOps to be “invisible”—quietly but meaningfully improving operations step by step.
The “moon shot” projects may not be coming to fruition just yet, but AIOps efforts are already beginning to occur. Ashok Reddy, CA’s Group General Manager of DevOps likens the landscape to a self-driving car. Although self-driving cars aren’t on the roads today, many cars already have automated features—features that already increase productivity. The same goes for IT operations.
Just as cars have started to implement blind spot warnings and automated parking, IT operations can automate anomaly detection and root cause analysis. This step by step process ultimately builds to the self-driving car or continuous AIOps with fully automated applications.
In later sessions, CA leaders and customers discussed practical implementations of AIOps today. Ali Siddiqui, CA General Manager of Agile Operations, sees AIOps in three key use cases: root cause analysis, auto-remediation, and reducing, or perhaps even negative, mean time to remediation (MTTR).
Customers then shared their AIOps journeys, detailing how to grasp the “low hanging fruit” and begin to make impactful changes in IT operations. Taking an iterative approach is crucial, beginning with correlating vast amounts of data, conducting root cause analysis, and then moving into self-remediation. “Automation is a really complex idea for people to get their heads around…in the automation space you need to start creating snowball effects…start with something small so you can impact a discipline,” Donovan Roos, Assistant VP of Global Technology at US Bank advised.
The summit concluded with three live demos showing how CA is aiding customers in their digital transformation by bringing AI/ML and advanced analytics driven solutions. CA leaders showcased AIOps tools which provide root cause analysis via assisted triage analytics, contextual intelligence, and proactive network monitoring.
As more and more data continues to be generated by businesses, CA solutions serve as powerful tools to gain crucial insights more efficiently. As Ali noted, “The power of AIOps is that we can deliver the right automation at the right time for the right set of customers.”
Blog by Laura Pianin, Communications Intern at CA Technologies