No IT downtime, reduction of manual work and costs and predictive insights for data-driven decision making are good reasons to implement AIOps.
AIOps, typically used in businesses in conjunction with their DevOps or cloud computing strategies, gives operations teams more visibility into production changes. AIOps from OpsRamp, as an example, automates and streamlines IT operations as well as enable users to proactively see, contextualize and organize alerts and deal with them before they become problems.
And the capabilities of AIOps are noticed worldwide – even in the Nordic countries. Finnish IT software and service company TietoEVRY is in a partnership with OpsRamp to modernize customers’ IT infrastructure and maximize efficiency in operations while continuously improving and automating customers’ IT landscapes.
However, even with the growing interest AI technology and adoption of AIOps, enterprises still fall short when transitioning AI projects from proof-of-concept stage to production deployments. So, what can enterprises do to overcome those transition shortcomings and fulfill their AIOps strategy?
Join Rajkumar Jeyaraman, head of multicloud AIOps and DigiOps, Tietoevry; and Dennis Callaghan, head of content, OpsRamp, as they discuss the best practices for AIOps during the “5 Best Practices to Succeed in Your AIOps Strategy” webinar at 10 a.m. EST Dec. 15.
Attendees will learn the five tips IT teams can make for AIOps success. The tips include analyzing current state of IT operations, measuring desired business outcomes, drafting a technology criteria driven by organizational priorities, staffing a center of excellence and marrying human insights with machine intelligence.
Edited by Erik Linask