Today, AIOps Exchange released survey findings from top IT leaders on the current and future state of the AIOps industry. Survey respondents included IT executives, from the C-suite to product management, at large enterprises across various industries.
Key findings from the report include:
65% of IT organizations still rely on monitoring approaches that are either siloed, rules-based or don’t cover the needs of their entire IT environment
58% of IT organizations said that customer satisfaction and retention were the top concerns when suffering downtime and outages
45% of IT organizations look to AIOps to analyze and determine the probable root cause of incidents and to predict future problems
40% of IT organizations are flooded by more than 1 million event alerts each day, while 11% are swamped by more than 10 million alerts
Phil Tee, founder of the AIOps Exchange and CEO of Moogsoft said the results of roundtable discussions at AIOps Exchange reveal that enterprise IT teams are moving beyond simply controlling event alert traffic.
“Large enterprises are ready for artificial intelligence and machine learning to move beyond the automation of routine tasks. AIOps needs to answer not just ‘what’ happened but ‘why’ and ‘how’. Root cause analysis and rapid incident resolution will allow IT Ops and DevOps teams to better serve customers with continuous service assurance,” said Tee.
While 40% of those surveyed say AIOps replaces legacy approaches to IT Event Management, 20% believe it also has a positive impact on Configuration Management — an especially important discipline for effective DevOps. Ninety-one percent of AIOps Exchange participants have adopted DevOps in one or more teams in their IT organization.
“Today, the number of alerts that IT teams face every minute has moved beyond human scale,” said Charles O’Keefe, VP, Enterprise Monitoring and Engineering at American Express, and keynote speaker at the AIOps Exchange. “AIOps technology has allowed us to not only ingest and normalize the data we receive but better yet, enrich the events. Additionally, we can dispatch to de-duplicate events, utilize machine learning to correlate data, and refine the models. It has truly made a difference in our day-to-day operations efficiencies.”
AIOps Exchange participants comprised nearly 100 IT executives (from manager level to C-suite) representing large enterprise organizations. Industries that were represented include financial services, transportation, technology, education, and healthcare. Eighty-four percent of those surveyed claimed an active role in determining the future of AIOps at their organization, while 68% had active AIOps projects underway.