Become an Autonomous Digital Business with AIOps

Paul Beavers, VP of R&D at BMC, explains how to become an empowered digital business with AIOps

How can your organization break through the noise with AIOps?

Today, organizations must drive innovation and proactively anticipate new demands to succeed and stay ahead. Ultimately, these companies are striving to become a self-sustaining digital enterprise – a growth-driven organization that embraces intelligent systems and technology across all facets of the business, delivering value through agility, customer focus and actionable insights. The evolution towards an autonomous digital enterprise requires a highly flexible, scalable and dynamic IT infrastructure, and this is where AI-driven IT operations (AIOps) come in.

AIOps is quickly becoming the go-to solution for IT teams looking to combine flexibility with high performance, according to O’Reilly, 85% of companies evaluate or use artificial intelligence (AI) in production today. Why do they need this? IT Ops teams face increasing and varied challenges. These range from managing the huge increase in operational data volumes that have far exceeded any human capacity to manage; the growing complexity of IT environments; to compete with the pressures of speed and agility of digital transformation itself. While high-frequency application releases may come from development teams, the performance and management responsibilities lie with IT operations.

By having the most effective and advanced AIOps strategies in place, IT Ops teams will be able to monitor, predict, flag, and even automatically fix potential issues, while optimizing operations, development, and services.

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But where to start ?

You need a plan. Becoming an empowered digital business doesn’t happen overnight, and deploying AIOps isn’t an all-or-nothing scenario. There are steps to get started, and it’s all about aligning implementation with use cases or identifying areas of friction within existing IT Ops processes. An example use case is event noise reduction. Large enterprises can have thousands of events per hour, far beyond any human scale to manage, so here AIOps can be deployed to separate noise, flag anomalies, and quickly provide root cause analysis and advice for remediation.

Part of the initial process is simply establishing data sources and models, as well as making the data available and centralized in a single solution, so that the data can be analyzed. While each company has its own priority areas based on multi-level business impact and ROI, an enterprise-wide rollout plan is essential. Organizations can then reduce costs at the speed they choose.

Embark the business

The successful deployment of AIOps depends as much on the technology as it does on the culture and mindset of the organization. Some companies mistakenly believe that they need to invest in data science skill sets or hire teams of data science graduates. This is simply not the case if all intelligence and domain expertise are integrated into the solution. Businesses simply need the operational skill sets to manage it and strategically leverage the rich actionable insights that AIOps can provide: a mix of IT operations and big picture thinking.

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Match your plan to technology

There are a host of technology vendors offering AIOps solutions, but a true AIOps solution must offer three key capabilities: it must be able to sense, analyze, and act in one solution.

This then needs to be mapped to those tiered use cases and paired with technology support questions. IT teams need to demonstrate real and tangible value from an AIOps deployment and therefore ensuring that these key areas of gain can be met is critical.

Finally, there’s the all-important question of integration: IT teams need to understand how easily these new analytics and automation tools can integrate into existing IT operations processes and span the entire computing environment on premises, in the cloud and even in containers.

Go for it

While AIOps may, at first glance, seem like the natural evolution and convergence of IT operations infrastructure, its strategic ripple effects are significant. Once AIOps matures within the enterprise, companies can realize significant business impact and ROI, and unlock whole new opportunities for the customer. Additionally, with the right plan and execution, AIOps provides a solid foundation for any company’s journey to a fully self-sustaining digital enterprise.

Written by Paul BeaversVice President of R&D at BMC

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