How AIOps can help reduce costs and drive economic efficiencies

BrandPost By Jeff Miller
Jan 31, 20244 mins
IT Operations

From identifying emerging issues to remediating and preventing them, AIOps can help IT teams improve service health.

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Credit: Nongnuch Pitakkorn

The history of IT operations (ITOps) can pretty much be summed up in one phrase: Do more with less. But for CIOs, additional expectations are often layered on top. While doing more with less, CIOs must also increase the value IT provides to the business, with new capabilities, improved reliability, and increased uptime.

This is a big challenge, as modern IT teams must manage an ever-evolving, constantly growing, increasingly complex environment. This means the IT team’s workload and responsibilities are always expanding, but the number of team members almost certainly is not. In fact, in some cases, the business primarily views IT as a cost center, meaning the IT team may see its numbers reduced over time.

CIOs desperately need to find economic efficiencies that enable completing work faster and more accurately while simultaneously cutting costs. Thankfully, artificial intelligence (AI) for IT operations (AIOps) offers these efficiencies.

In summary, AIOps can reduce outages for critical applications, reduce the number of major incidents, and decrease mean-time-to-resolution (MTTR). With reduced monitoring and overhead, total cost of ownership (TCO) is lowered for IT operations management.

All of this is enabled by AI technology that first identifies causal links for quick root-cause identification of even extremely complex incidents. This frees up IT practitioners from spending time sifting through hundreds of alerts. In many cases, AI capabilities can also automatically resolve the issue at hand before it impacts users. This is accomplished through centralized data collection and analysis, which enables holistic visualization of the entire IT landscape and correlation of situations.

AIOps integrates these AI insights and capabilities into the daily operations of IT. This produces a variety of economic efficiencies, including:

Fewer incidents reported by users. Because AIOps enables teams to address issues before they impact users, users report fewer incidents. More stable service means more money for digital enterprises.

Greater user productivity due to fewer outages. In addition to fewer incidents, user productivity doesn’t take a hit from outages. Employees can spend more time working because the tools they need are fully available.

Avoiding missed opportunity costs. When a service is down, business users are much less productive, customer satisfaction plummets, and the organization loses potential revenues. AIOps increases service reliability, which reduces these missed opportunity costs.

Shortened MTTR. When an incident does occur, IT can resolve it faster, which reduces MTTR. This in turn maintains productivity and reduces an IT organization’s workload. Even better, AIOps will often fix a potential problem before it ever has an impact on users, effectively resolving incidents before they happen.

Empowered with self-service. With AI-powered self-service, IT teams can make queries in natural language and receive easy-to-understand recommendations tailored to resolve their specific problem. This frees up the IT team to focus on higher-priority or more complex issues.

Filling the skills gap for novice IT practitioners. Organizations are often introducing more sophisticated technologies into their environment, and many are already having problems finding staff with the necessary skills to integrate and/or support those technologies. With AI assistance, even employees without deep domain knowledge can use the technology with relative ease, receiving assistance from AI in natural language versus query language.

BMC Helix provides AI-powered tools along with deep expertise that enable IT teams to achieve efficiencies, reduce costs, and increase effectiveness. With root causes identified, teams can work in concert to resolve issues instead of independently tracking down disconnected problems. As a result, IT professionals can typically create dynamic service models in less than 10 minutes, reduce event noise by 90%, achieve 100% uptime, and eliminate all capacity-related outages.

Want to learn more about how BMC Helix can help your organization create efficiencies through AIOps? Experience it first-hand with a guided demo.