Intelligent automation and AI offer fantastic opportunities to CIOs and IT teams to rapidly revolutionise the ways they can efficiently manage their operations. They know that already, of course, which is why many are already struggling with it.

Organisations typically manage 20-30 different monitoring tools already, and are frequently wrestling with fragmented operations where any number of the latest, shiniest AI tools are being deployed to solve problems across any number of devices and organisational siloes.

As the pace of change accelerates, operational chaos has a knack of increasing, along with the costs. The time has come to demonstrate ROI on all those AI investments, and many are finding that problematic.

In this episode of the NODE podcast, host Romily Broad meets Riverbed’s SVP of Global Solutions Engineering, Charbel Nicer, to take a deep dive into the emerging art of AIOps.

A long-time leader in the field of IT observability, Riverbed has now positioned itself as a one-stop shop for AIOps.

Charbel explains that Riverbed has been able to flex its observability chops to cut through the complexity and offer a platform focused on three core principles: AI solutions should be smart, open, and simple.

It’s a solution Charbel says helped a top-five global bank save $1.6 million in just three months through automated support processes. Meanwhile, a British bank with 150,000 devices implemented proactive problem identification, executing 322,000 automated remediation activities.

Generative AI is opening new frontiers, too. Effective AIOps can provide new levels of instant, intelligent insights, transforming how IT teams diagnose and resolve complex technological challenges.

But the trick, says Charbel, isn’t to simply snatch at the latest technology – it’s about creating an intelligent, integrated approach that delivers tangible value.

More thoughts from Charbel:https://www.node-magazine.com/

NODE Podcast