In an era where efficiency and smart technology integration are key, 71% of technical leaders report their companies are expanding their investments in artificial intelligence (AI) and machine learning (ML) this year. With the sheer volume of data coming into the enterprise and the need for timely response, monitoring every incoming alert around the clock is impractical, and human vigilance alone is too imprecise.

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.

It was 3AM at Newark Liberty International Airport. I was groggy, waiting in line to get my boarding pass, only to be met with a blue screen on the check-in kiosk. Needing some coffee, I learned the vendor was only accepting cash. There was clearly a big outage and I quickly checked our systems at PagerDuty. Major outages happen multiple times per year, so frequently that we have an internal dashboard (colloquially referred to as “the internets are broken”).

AlertOps announced its new integration with ServiceNow to enhance incident management and response capabilities for ServiceNow customers. This joint effort enables AlertOps to create better experiences and drive value for customers by providing real-time notifications, bi-directional data synchronization, and seamless integrations. ServiceNow’s expansive partner ecosystem and partner program is critical in supporting the Now Platform’s $275 billion forecasted market opportunity through 2026.

One of the biggest challenges for some of our customers was allowing non-engineering teams, such as Support, Sales, or Sustomer Success teams, to raise incidents for specific Dev/Infra/Security/Ops teams on Zenduty in a structured and efficient manner as soon as a customer reports an issue. In many organizations, we observed that non-technical team members often needed to switch between platforms, fill out complex forms, or reach out to multiple stakeholders manually to ensure that an issue is escalated.

In today’s fast-paced digital world, customer satisfaction is the top priority of every other business. To ensure that customer stays satisfied with your service and application at all times, businesses must work on reducing their downtime and guarantee quick resolutions. Excessive downtime can be expensive for any business and its brand reputation. Hence, adapting practices that eliminate issues responsible for downtime is crucial for maintaining seamless IT operations.

Outages cost millions and even billions for businesses across different spheres. For example, Amazon may lose up to $34 billion in sales within an hour of downtime, and a service outage back in March cost Meta nearly 100 million in revenue. However, that’s not all that was lost. Due to poor outage notifications and a lack of resolution details, many Meta users were kept in the dark about the outage. This Reddit thread shows many users were frustrated.

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.