In today’s digitally driven economy, the IT network has become a high-stakes asset and yet it’s more difficult to manage than ever. Consider that:
Artificial intelligence for IT operations (AIOps) is the emerging technology helping companies automate processes and manage increasingly complex environments. But what is AIOps and what do you need to build a fully autonomous network? A new buyer’s guide from ZK Research uses research data to shed light on how IT leaders are using AI-based automation and what they find most important in their AIOps solutions. Plus, it explores the lessons learned from early adopters.
Here are the top three tips from the buyer’s guide.
A majority of respondents (65%) chose their AIOps provider based on features including analytics, predictions, recommendations, and integration.
Companies looking to leverage AIOps for its automation power will want to explore what analytics are available inside the engine, how they can be used to solve business use cases, and whether the toolset can actually reduce the need for human interaction. That requires some deep investigation from the IT decision maker.
ZK Research says one way to tell is to look at the analytics inside the engine, understanding how it:
AI engines thrive on large data lakes with a variety of data feeds, not to mention agile IT infrastructures supporting all that data crunching. That’s why SD-WAN and SASE solutions serve as the perfect pair for AIOps, advises ZK Research. “When AI is fragmented across multiple tools, data has to be reconciled or even corrected,” warns Zeus Kerravala, Founder and Principal Analyst.
In evaluating AIOps tools, consider the operating platform supporting the analytics engine and what access it has to both network and security data. Don’t forget training and any ongoing management, as network and security operations teams will need leadership and monitoring teams.
ZK Research shows 97% of respondents are confident AIOps engines can be trusted. IT leaders have confidence that these advanced tools can act on their own recommendations and create fully automated systems. But where does that confidence come from, and how do IT decision makers take a page from the book of their peers?
ZK Research explains that decision makers can rest easy when AIOps has proper access to IT control panels and permissions to make changes to network configurations, as this is the only way the AI engine can act on its own prescriptive recommendations. Known as closed-loop automation, this is the key in building fully autonomous systems. Closed-loop automation is the key in reaching the highest levels of automation, which require little human interaction.
Don’t miss the complete buyer’s guide, which explores the latest trends in AIOps and why these intelligent engines are no longer considered experimental. You’ll also learn more about:
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