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.

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.

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.

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.

The teams that keep IT services running all share one thing: a need for data and knowledge that spans their systems and tools. Yet, they often lack the vital cross-system context necessary to analyze and collaborate effectively to remediate incidents quickly. BigPanda is proud to announce new features and capabilities that enable you to leverage historical incident records and institutional knowledge.

Every day, operators receive mountains of alerts to sift through. Prioritizing alerts based on impact and severity can seem impossible. And constantly evolving IT environments increase complexity by orders of magnitude. Knowing which alerts to prioritize is extremely difficult, especially without the critical context to make those alerts actionable.

IT teams are the invisible engines powering every modern organization. Yet they battle constantly to ensure the availability and reliability of applications and services across fragmented, hybrid-cloud infrastructures. In particular: Fragmented tools, siloed workflows, and inconsistent manual processes create an IT nightmare. Despite investing millions in observability and ITSM platforms, teams face alert fatigue, reactive incident response, and persistent outages.

Behind the scenes of any IT infrastructure lies the ongoing challenge of monitoring and managing never-ending systems, applications, and network devices. As an IT professional, your task list always includes staying ahead of potential issues, minimizing downtime, and navigating disruptive alerts.