When implementing new tech, the challenges don’t end at tool selection, purchase, and initial deployment. You can have the best technology in the world, but it won’t help your organization if no one uses it. Many teams look to AIOps solutions like BigPanda to reduce noise, improve workflows, and resolve incidents faster through AI and automation. Bringing in a new platform is part of the equation. The other part is organizational change management to support platform adoption.

The news is filled with buzz about how companies approach AI. As a result, many organizations are trying to identify how AI can effectively support their business goals. There seem to be infinite use cases, but finding those that add the most value is often the first challenge. In the ITOps environment, generative AI copilots can effectively improve team efficiency, share knowledge, and support day-to-day tasks to deliver immediate value.

ITOps and AIOps teams often face an overwhelming volume of notifications, many of which are false positives or low-priority alerts. The constant influx creates a chaotic environment. ITOps and AIOps teams can easily miss critical issues, potentially leading to system failures or prolonged downtime. Spending significant time sifting through irrelevant alerts reduces team efficiency and slows response. Focus on alert noise reduction to ensure that only meaningful and actionable alerts reach your teams.

In the weeks since the Crowdstrike outage brought millions of systems to a halt, countless articles have been written about the cause of the outage, its impact, and the costs companies incur during service disruptions. Nearly every large company had hosts offline due to the faulty update in CrowdStrike’s Falcon software. BigPanda customers were no exception. On July 19, between 04:00 and 07:00 UTC, the BigPanda systems logged an increase in shared incidents.

Rapid, proactive responses to unexpected system behavior and swift, efficient incident remediation are hallmarks of great IT teams. But the most successful NOC and incident management teams share the following: The right context gives teams visibility across systems, helps them collaborate and share knowledge, and makes every team member more efficient.

Are you ready to take your IT operations to the next level and unlock the full power of the BigPanda AIOps platform? Our engaging online learning platform empowers professionals like you with top-notch training and certification opportunities. Our carefully designed courses allow you to learn at your own pace and convenience through asynchronous learning. Whether you are a seasoned IT expert or just starting, our courses cater to all skill levels.

Data aggregation includes systematically collecting, transforming, and summarizing raw data from multiple sources. A unified, consistent view helps IT teams analyze vast amounts of information, uncover patterns, and derive actionable insights for informed decision-making. In our case, it’s all about enhancing incident management.

Improving operational efficiency and reducing the time it takes to resolve incidents are big goals. New options to customize your incident feed view in BigPanda allow you to highlight the most relevant context upfront, making a big difference. Reducing data visibility issues and redundant data can give operators greater control. The BigPanda Incident 360 Console is where ITOps teams and NOC operators receive the first notification and ongoing updates for all incidents.

ITOps teams face several common issues, from high noise and incident volumes to siloed teams and manual workflows. These challenges contribute to reduced operational efficiency, extended downtimes, and lost revenue. All things you want to avoid. You rely heavily on incident response teams to keep your part of the digital world running smoothly. The BigPanda platform helps ITOps and incident response teams accelerate and automate incident detection, investigation, and resolution.

All eyes are on generative AI. Enterprise IT teams are looking to Gen AI to translate the high volume of data from their services architecture into actionable insights. The goal: Improve operational efficiency and quality of work. But it’s challenging to sort through the hype (and confusion) to identify which vendors have GenAI capabilities that can provide true impact and value to their IT and service operations. One capability in particular is AI-powered copilots.