Artificial intelligence for IT operations (AIOps) solutions help manage the complexity of IT systems and drive outcomes like increasing system reliability and resilience, improving service uptime, and proactively detecting and/or preventing issues from happening in the first place.
According to BMC research in partnership with Forbes Insight, more than 80% of IT leaders trust AI output and see a significant role for AI, including but not limited to generative AI outputs. Research respondents believe AI will positively impact IT complexity and improve business outcomes. But many enterprises have yet to start reaping the full benefits that AIOps solutions provide.
An increasingly complex technology landscape makes it more difficult to resolve issues. Today, IT encompasses site reliability engineering (SRE), platform engineering, DevOps, and automation teams, and the need to manage services across multi-cloud and hybrid-cloud environments in addition to legacy systems. Because of the adoption of containers, microservices architectures, and CI/CD pipelines, these environments are increasingly complex and noisy.
On top of that, IT teams have adopted DevOps, agile and SRE practices that drive much greater frequency of change into IT systems and landscapes. These changes can cause many more unexpected performance and availability issues.
At the same time, the scale of observability data generated from multiple tools exceeds human capacity to manage.
These challenges drive the need for observability and AIOps.
AIOps: Big picture visibility to resolve issues faster
AIOps solutions like BMC Helix AIOps are built to ingest large amounts of data and correlate multiple incidents into situations that can be analyzed to reduce time to resolution.
When you get deluged by alert storms, you need to understand if and how those alarms are related in order to resolve them. AIOps can take what looks like a storm of alerts hitting the monitoring systems and reduce them down to one or two probable causes.
Understanding the root cause of issues is one situational benefit of AIOps. With situational insights, IT operations, SREs, DevOps, and platform engineering teams can reduce time to remediation and quickly restore services with a pre-built set of automations.
AIOps goes beyond observability tools
Many organizations today conflate observability, which is just one important component of AIOps, with a full AIOps deployment. Observability builds on the growth of sophisticated IT monitoring tools, starting with the premise that the operational state of every network node should be understandable from its data outputs.
AIOps-powered observability goes beyond monitoring data outputs and provides a complete, up-to-date topology of all business nodes and how incidents on one layer affect other nodes, as well as business outcomes. Observability prepares you to understand incidents and their causes. AIOps provides automatic remediation and insights across the entire change lifecycle, beyond what monitoring or observability alone can do.
The journey to AIOps maturity
Many IT leaders say their staffing and skills are sufficient to design, deploy, and manage AIOps. Beneath the surface, however, are some crucial gaps. A significant share of organizations say to effectively develop and implement AIOps, they need additional skills, including:
- 45% AI development
- 44% security management
- 42% data engineering
- 42% AI model training
- 41% data science
AI and data science skills are extremely valuable today. Experience and deliberate cross-functional learning opportunities are needed for people to acquire these skills. IT leaders are looking for good AI content that their employees can reference, plus opportunities for employees to develop AI skills.
AIOps unleashes growth and innovation and enables change
AIOps helps drive business outcomes by bringing in data-driven business context that drives IT decision making based on what the business needs in real time. In addition to making IT systems more resilient, these operational improvements lower IT costs, enable innovation, and bolster the customer experience. Everyone with a vested interest in their organization’s growth and evolution can appreciate the value of a significant performance benefit and the transformative change of simplifying the complex.
Complexity is challenging when you’re trying to make rapid changes to keep up with the needs of the business, but those frequent changes drive risk and incidents. AIOps can show the causal impact of the change in one system, and the learning algorithms of AIOps can help you predict risks of incremental versus major changes.
AIOps integrates into existing organizational workflows, enabling IT teams to be more productive. Once IT teams automate repetitive tasks, issue remediation and prevention, IT workers are free to work on more meaningful and strategic initiatives that drive organizational success.
Are you ready to transform your IT organization with AIOps?
AIOps is more than just the remit of the CIO, and its value needs to be understood in the C-suite and in the boardroom. AI solutions can create a core competitive advantage for the entire organization, with BMC customers having achieved significant results:
- 100% uptime for their business services
- 100% visibility across their IT environment
- 73% reduction in incident volume
The financial impact includes more than $1 million in infrastructure cost savings, $2.3 million in reduced tool-sprawl savings, and productivity savings from freeing the time of 96 full-time employees.
If you’re ready to start simplifying with AIOps, click here to learn more about BMC AIOps solutions and how to transform your IT landscape.
To schedule a consultation with BMC to start transforming your IT organization, click here.
Read More from This Article: Ready to transform how your IT organization drives business outcomes with AIOps?
Source: News