IT Operations teams must detect and address incidents quickly to ensure efficient operations and reliable IT infrastructures. As organizations grow and scale their service offerings, their IT environments inevitably become more complex. Filtering through alerts becomes increasingly challenging due to excessive noise and a lack of end-to-end visibility. As a result, IT operations teams are forced to escalate issues more frequently. This puts strain on service teams’ resources, slows down incident response, and negatively impacts operational efficiency.
Any incident that disrupts services can damage customer trust and your brand’s reputation. They also come with serious financial consequences, with unplanned IT outages costing large enterprises up to $1.5M per hour.
IT organizations are turning to artificial intelligence for IT Operations, or AIOps, to solve these challenges. In particular, AI-powered Event Management enables ITOps teams to detect and triage situations faster, streamline operational efficiency, and ensure high service reliability.
Accelerate IT incident detection and triage
The complexity of modern IT stacks creates overwhelming volumes of alert noise, with the average enterprise using more than 20 observability and monitoring data sources. When an incident occurs, ITOps teams have to manually comb through massive amounts of low-quality, unactionable alerts. Many alerts lack essential details such as the specific host, assignment groups, and affected environments. Without this crucial information it can be challenging to diagnose alerts accurately, and difficult to distinguish between false alarms and genuine warnings that could indicate a potential service outage.
“Siloed information makes it difficult to centralize data and identify important alerts, which creates inefficiencies and extends incident resolution times,” said C Beers, a resident solutions architect at BigPanda, in a recent webinar. “Generative AI can help democratize access to operational knowledge so your responders know what’s happening and can act quickly.”
BigPanda AIOps makes every team member an expert by aggregating data from across your IT stack into actionable incidents, allowing responders to triage and prioritize incidents in seconds. BigPanda ingests alerts from multiple data sources, consolidating siloed observability, change, topology, and institutional data into a unified view. Through deduplication, filtering, normalization, and correlation, these alerts are processed to eliminate unnecessary noise and provide operations teams with a complete picture of your IT environment. These alerts are then automatically enriched using change, topology, and historical data to provide additional information that facilitates resolution.
With access to this additional context and actionable alerts, operators can quickly assess the situation, prioritize incidents based on urgency, and assign them efficiently. By accelerating the investigation process, BigPanda enables teams to resolve incidents faster, minimizing downtime and maximizing service reliability.
“BigPanda gets us to the root cause of an incident quicker, which improves mean time to resolution (MTTR), said Jon Moss, Head of Edge Software Engineering at Zayo. “This helps us deliver a better customer experience and scale using technology, not headcount.”
Increase your team’s productivity and prevent costly escalations
BigPanda Advanced Insight helps automate the triage process by leveraging AI to automatically analyze and correlate multisource data. It provides both ITOps and Incident Management teams with enriched incident summaries that clarify impact, priority, and assignment. With access to AI-powered insights, your L1 teams can understand what’s happening and why it’s occurring and triage faster without frequent, expensive escalations.
If an escalation is required, BigPanda shares these detailed insights with Incident Management teams directly within their ITSM platform. This improves knowledge sharing and collaboration, enhances situational awareness across the organization, and results in efficiency and reliability gains.
“Not only can we see the alerts, but we can evaluate them using correlation that recognized patterns, connected alerts,” says Dan Bartram, head of automation and monitoring at Gamma Communications. “This has led to fewer incidents.”
Learn more about AI-powered Event Management from BigPanda
AI-powered Event Management helps accelerate incident detection and triage, increasing the speed and productivity of IT Operations teams. Check out our solution brief to learn how AI-powered Event Management can help your organization:
- Reduce overwhelming IT noise and prevent operational burnout.
- Automate manual tasks to reduce operational expenses and enable your teams to handle a higher volume of issues.
- Minimize costly escalations and bridge calls.
“The rapid, automated extraction of meaningful insights from our complex IT alert environment not only makes us better at L1 response but also reduces escalations to our L2 and L3 experts.”
Jeremy Talley
Lead Operations Engineer, Robert Half International
Next Steps
To learn more about how to boost the productivity of your ITOps teams and improve your organization’s service reliability, get our latest e-book, AI-powered Event Management: Turn data into patterns, insights, and actions.
You can also learn Gartner’s predictions for how to prepare your organization for AI innovation in 2025 in their report, Gartner’s Top Strategic Predictions for 2025 and Beyond: Riding the AI Whirlwind.
