More firms turning to AI to better management cloud risk assessments

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There is a widening gap between IT resources and the demands of managing the increasing scale and complexity of enterprise cloud ecosystems, according to a new report by software intelligence company Dynatrace.

For the study, the company commissioned research firm Vanson Bourne to conduct a global survey of 800 CIOs in enterprises with more than 1,000 employees. The survey showed that on average, IT and cloud operations teams receive nearly 3,000 alerts from their monitoring and management tools each day.

With such a high volume of alerts, the average IT team spends 15 percent of its total available time trying to identify which alerts need to be focused on and which are irrelevant. This costs organizations an average of $1.5 million in overhead expense each year.

As a result of this, CIOs are increasingly looking to artificial intelligence (AI) and automation as they try to maintain control and close the gap between constrained IT resources and the rising scale and complexity of the enterprise cloud.

Traditional monitoring tools weren’t designed to handle the volume, velocity, and variety of data generated by applications running in enterprise clouds, the report said. A majority of the CIOs (70 percent) said their organization is struggling to cope with the number of alerts from monitoring and management tools.

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