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:
When innovation can’t come at the expense of operational excellence, artificial intelligence for IT operations (AIOps) is the emerging technology helping companies automate processes and manage increasing complexity. 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 what IT leaders find most important in their AIOps solutions. Plus, it explores the lessons learned from early adopters.
Here are the top three tips for IT decision makers.
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, how they can be used to solve your business use case, and whether the toolset can actually improve autonomy. That requires some investigation. ZK Research says one way to tell is to look at the analytics inside the engine. The buyer’s guide recommends taking a deep dive into how the AIOps toolset:
AI engines thrive on large data lakes with a variety of data feeds, not to mention agile IT infrastructures. 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 at ZK Research.
In evaluating solutions, consider the operating platform supporting the AIOps toolkit and what access it has to both network and security data. Don’t forget training and ongoing management, as network and security operations teams will need leadership.
ZK Research shows 97% of respondents are confident AIOps engines can be trusted. IT leaders have confidence that solutions 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 AIOps must have proper access to the control panel and permissions to make changes to network configurations, as this is the only way the 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 (if any) human interaction:
Don’t miss the complete buyer’s guide, which explores the latest trends in AIOps and why these intelligence engines are no longer considered experimental. You’ll also learn more about:
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