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PagerDuty Copilot Adds Slack-Based GenAI Assistant

PagerDuty announced a new addition to PagerDuty Copilot, the Company’s family of previously announced assistive automation capabilities for the PagerDuty Operations Cloud.

The PagerDuty Operations Cloud combines Incident Management, AIOps, Automation, and Customer Service Operations in a flexible, easy-to-use platform designed for mission-critical, time-sensitive, high-impact work across IT, DevOps, security, and business teams. The latest PagerDuty Copilot offering is a Slack-based, generative AI assistant that delivers helpful insight across the entire incident lifecycle.

From drafting postmortems to authoring automation jobs, PagerDuty Copilot acts as an expert partner to PagerDuty users and reduces the burden of repetitive and time-consuming tasks. The intuitive engagement model delivers a consumer-style simplicity to the critical work managed by the PagerDuty Operations Cloud – unlocking the full value of AI and automation to improve the efficiency of managing complex digital operations across the digital enterprise.

The Slack-based generative AI assistant, available for early access, empowers users with contextual support surrounding an issue, helps to identify the contributing factors/problem isolation, and suggests paths for remediation, resulting in faster resolution.

Responders can interact with the assistant while investigating probable cause by surfacing change events, suggested paths for remediation, and additional insights to guide toward resolution. PagerDuty Copilot can answer questions like, “What happened?,” “What changed?,” and “What’s the customer impact?,” removing some of the mental load on responders and automating time-intensive tasks. The natural language, Slack-based interface inserts the power of the PagerDuty Operations Cloud directly into the flow of where operations work happens, while intelligently performing time-consuming tasks, enabling users to build automation jobs and connect and analyze information from multiple sources.

By bringing humans and this technology together, PagerDuty’s Copilot equips operations teams with automation and AI that help resolve revenue-impacting issues, resulting in a better customer experience.

“The speed and power in which generative AI can surface information and actionable insights represent a once-in-a-generation technological shift,” said Tim Armandpour, Chief Technology Officer at PagerDuty. “Building upon our deep expertise in operations, PagerDuty Copilot provides our customers with a depth of expert skills they need today to solve their challenges.”

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PagerDuty Copilot Adds Slack-Based GenAI Assistant

PagerDuty announced a new addition to PagerDuty Copilot, the Company’s family of previously announced assistive automation capabilities for the PagerDuty Operations Cloud.

The PagerDuty Operations Cloud combines Incident Management, AIOps, Automation, and Customer Service Operations in a flexible, easy-to-use platform designed for mission-critical, time-sensitive, high-impact work across IT, DevOps, security, and business teams. The latest PagerDuty Copilot offering is a Slack-based, generative AI assistant that delivers helpful insight across the entire incident lifecycle.

From drafting postmortems to authoring automation jobs, PagerDuty Copilot acts as an expert partner to PagerDuty users and reduces the burden of repetitive and time-consuming tasks. The intuitive engagement model delivers a consumer-style simplicity to the critical work managed by the PagerDuty Operations Cloud – unlocking the full value of AI and automation to improve the efficiency of managing complex digital operations across the digital enterprise.

The Slack-based generative AI assistant, available for early access, empowers users with contextual support surrounding an issue, helps to identify the contributing factors/problem isolation, and suggests paths for remediation, resulting in faster resolution.

Responders can interact with the assistant while investigating probable cause by surfacing change events, suggested paths for remediation, and additional insights to guide toward resolution. PagerDuty Copilot can answer questions like, “What happened?,” “What changed?,” and “What’s the customer impact?,” removing some of the mental load on responders and automating time-intensive tasks. The natural language, Slack-based interface inserts the power of the PagerDuty Operations Cloud directly into the flow of where operations work happens, while intelligently performing time-consuming tasks, enabling users to build automation jobs and connect and analyze information from multiple sources.

By bringing humans and this technology together, PagerDuty’s Copilot equips operations teams with automation and AI that help resolve revenue-impacting issues, resulting in a better customer experience.

“The speed and power in which generative AI can surface information and actionable insights represent a once-in-a-generation technological shift,” said Tim Armandpour, Chief Technology Officer at PagerDuty. “Building upon our deep expertise in operations, PagerDuty Copilot provides our customers with a depth of expert skills they need today to solve their challenges.”

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Organizations that perform regular audits and assessments of AI system performance and compliance are over three times more likely to achieve high GenAI value than organizations that do not, according to a survey by Gartner ...

Kubernetes has become the backbone of cloud infrastructure, but it's also one of its biggest cost drivers. Recent research shows that 98% of senior IT leaders say Kubernetes now drives cloud spend, yet 91% still can't optimize it effectively. After years of adoption, most organizations have moved past discovery. They know container sprawl, idle resources and reactive scaling inflate costs. What they don't know is how to fix it ...

Artificial intelligence is no longer a future investment. It's already embedded in how we work — whether through copilots in productivity apps, real-time transcription tools in meetings, or machine learning models fueling analytics and personalization. But while enterprise adoption accelerates, there's one critical area many leaders have yet to examine: Can your network actually support AI at the speed your users expect? ...

The more technology businesses invest in, the more potential attack surfaces they have that can be exploited. Without the right continuity plans in place, the disruptions caused by these attacks can bring operations to a standstill and cause irreparable damage to an organization. It's essential to take the time now to ensure your business has the right tools, processes, and recovery initiatives in place to weather any type of IT disaster that comes up. Here are some effective strategies you can follow to achieve this ...

In today's fast-paced AI landscape, CIOs, IT leaders, and engineers are constantly challenged to manage increasingly complex and interconnected systems. The sheer scale and velocity of data generated by modern infrastructure can be overwhelming, making it difficult to maintain uptime, prevent outages, and create a seamless customer experience. This complexity is magnified by the industry's shift towards agentic AI ...

In MEAN TIME TO INSIGHT Episode 19, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA explains the cause of the AWS outage in October ... 

The explosion of generative AI and machine learning capabilities has fundamentally changed the conversation around cloud migration. It's no longer just about modernization or cost savings — it's about being able to compete in a market where AI is rapidly becoming table stakes. Companies that can't quickly spin up AI workloads, feed models with data at scale, or experiment with new capabilities are falling behind faster than ever before. But here's what I'm seeing: many organizations want to capitalize on AI, but they're stuck ...

On September 16, the world celebrated the 10th annual IT Pro Day, giving companies a chance to laud the professionals who serve as the backbone to almost every successful business across the globe. Despite the growing importance of their roles, many IT pros still work in the background and often go underappreciated ...

Artificial Intelligence (AI) is reshaping observability, and observability is becoming essential for AI. This is a two-way relationship that is increasingly relevant as enterprises scale generative AI ... This dual role makes AI and observability inseparable. In this blog, I cover more details of each side ...

Poor DEX directly costs global businesses an average of 470,000 hours per year, equivalent to around 226 full-time employees, according to a new report from Nexthink, Cracking the DEX Equation: The Annual Workplace Productivity Report. This indicates that digital friction is a vital and underreported element of the global productivity crisis ...