Unplanned downtime can cost large enterprises almost $1.5 million per hour, according to a recent survey by Enterprise Management Associates. AIOps offers a solution. With an effective AIOps platform in place, you can decrease the frequency and cost of outages by 30% and reduce their duration to under an hour. AIOps platforms apply AI and machine learning to complex IT data to enhance and automate IT operations.

The common thread among teams responsible for maintaining IT services is their reliance on a deep understanding of the IT environment. Teams need access to all types of critical data to keep systems running. While it seems straightforward, ITOps teams face many challenges in locating, accessing, and synthesizing enough data to fully understand an incident’s cause and establish a remediation plan.

The digital landscape is evolving constantly — as is its complexity. Organizations need more efficient and effective ways to sort through high volumes of IT noise to identify the root cause of incidents. In a recent webinar with BigPanda CIO Jason Walker and Waste Management Principal Architect Udo Strick, Joe Connelly — director of monitoring, observability, and service reliability at Chipotle Mexican Grill — shared his perspective on.

IT teams need immediate and automatic access to machine data and institutional knowledge to move faster and make the right decisions. And they need context to identify incidents and understand how to resolve them. AIOps enables this by transforming noisy and fragmented operations data into actionable insights. This is the foundation of full-context operations. Full-context operations combines observability and other machine-generated data with historical, expert, and institutional knowledge.

The emergence of AI opens new and innovative possibilities, simplifies operations, and boosts overall success. With AIOps, your technical organization can achieve unparalleled efficiency, productivity, and profitability. This cutting-edge technology leads us toward a brighter, more prosperous future with exciting opportunities to grow and thrive.

Downtime is expensive, both to your budget and your brand reputation. As IT outage costs increase, it’s critical to identify and prioritize incidents quickly to minimize the impact on your organization. In a recent survey of more than 400 global IT professionals, Enterprise Management Associates found that unplanned downtime costs average $14,056 per minute. That’s an increase of nearly 10% from 2022.

IT outages are a financial nightmare. Beyond revenue impact, unplanned downtime translates to lost productivity, frustrated customers, and potential reputation damage. To understand the true impact of these events, Enterprise Management Associates (EMA) conducted a comprehensive study with more than 400 IT professionals from varying company sizes and roles in North America, EMEA, and APAC regions.

There’s wisdom in past experiences — if you can access it. During live incidents, teams often look for parallels to past situations in their investigation process. Finding the answers is a time-consuming and manual process. You first have to identify similar incidents, then review historical data for insights and details on how previous teams resolved them. There’s no time to waste when SLAs are at stake. Yet that’s how many operators spend their time.

Last week saw several big milestones for BigPanda. We launched several new AI-driven capabilities (see below). And we had the privilege of meeting with more than 40 IT operations leaders from customers, including Disney, Nvidia, Autodesk, Lucid Motors, Intel, and Blue Shield, at our customer event, BigPanda 24. Representing some of the most innovative organizations in business and technology, these influencers joined us as part of our customer and technical advisory boards.

Context is fundamental to well-run tech operations, which require an understanding of systems, services, architectures, and teams to interpret the real-time data streaming in from observability and change systems. The delivery of context is crucial for effective operations performance. And it’s a universally important skill set for tech Ops teams to master.