PagerDuty Enhances Incident Response Platform with AI-Powered Features

PagerDuty debuts new AI features for its incident response platform - SiliconANGLE

PagerDuty debuts new AI features for its incident response platform PagerDuty Inc. today introduced a set of artificial intelligence features that will help companies more quickly respond to server outages and other technical issues. NYSE-listed PagerDuty provides a popular incident response platform of the same name. The software can detect when something breaks in a company's information technology environment, collect data about the incident and notify administrators.It also performs related tasks such as filtering false positives. "Most organizations are not fully prepared to tackle major unplanned outages," said Jeffrey Hausman, PagerDuty's chief product development officer. "The PagerDuty Operations Cloud integrates AI and automation to streamline the entire incident management lifecycle." The first new feature that the company debuted today is an AI assistant for Microsoft Teams. When PagerDuty detects an IT malfunction, administrators can use the chatbot to access information about the incident without leaving the Teams interface. Application outages are often the result of erroneous configuration changes. According to PagerDuty, its chatbot points out any modifications that may have been made to a workload in the hours that led up to a malfunction. Administrators can also ask the AI to activate remediation workflows that perform troubleshooting tasks without manual input. The chatbot is based on a set of AI features called PagerDuty Advance that debuted in July. The feature suite also powers a Slack chatbot, as well as tools that automate tasks such as creating incident summaries. PagerDuty is rolling the new AI assistant for Teams alongside enhancements to its platform's alert management features. Those features help filter erroneous or redundant error notifications. They also perform a number of other tasks, such as grouping together alerts that describe the same incident to ease analysis. Until now, PagerDuty grouped notifications based on textual similarly. Today's update introduces machine learning models that use "enhanced pattern recognition" to more effectively process alerts and filter unnecessary data. The company says that the enhancement will help speed up troubleshooting times for customers. While at it, PagerDuty is also upgrading the alert processing features of its Event Orchestration tool. This is a component of the company's platform that routes technical data about outages to external applications such as cybersecurity services. Event Orchestration can now more extensively automate the manual work involved in determining the urgency of an alert and preparing it for analysis.

PagerDuty Introduces Enterprise-Grade, AI-Powered Innovations to Future-Proof Operations and Improve Business Results By Investing.com

Strategic enhancements built on PagerDuty (NYSE:PD)'s strong AI heritage expand the PagerDuty Operations Cloud, empowering organizations by protecting them from revenue loss and improving customer trust SAN FRANCISCO--(BUSINESS WIRE)--PagerDuty (NYSE:PD), a global leader in digital operations management, today announced innovations for the PagerDuty Operations Cloud, strengthening its AI-first platform that enables organizations to build operational resilience and reduce the impact of unplanned outages. The latest features and enhancements will empower operations teams to automate their processes and reduce time spent at every stage of the incident management lifecycle to protect customer experience and mitigate the risk of operational failure while replacing point solutions. Extended service downtime can be costly for organizations in terms of revenue loss and reputational damage. According to research from Parametrix, the July 19 global IT outage resulted in an estimated ...total [financial] loss of $5.4 billion for the Fortune 500.1 Additionally, PagerDuty's recent survey data found customer-facing incidents increased by 43% during the past year, with each incident costing nearly $800,000. The way an organization responds to an outage and how quickly they recover from it are key factors in preserving customers' trust and preventing revenue loss. The latest innovations for the PagerDuty Operations Cloud help operations teams build more resilience over time to get ahead of major outages and avoid repeat incidents. Most organizations are not fully prepared to tackle major unplanned outages for a myriad of reasons, said Jeffrey Hausman, chief product development officer at PagerDuty. Operations teams remain largely reactive, consumed by firefighting with little time for proactive measures since they are jumping from one point solution to another to understand and resolve the incident. The PagerDuty Operations Cloud integrates AI and automation to streamline the entire incident management lifecycle, enabling swift, coordinated responses across people, processes, and technology to mitigate major incidents all in one comprehensive platform. Machine Learning and Automation to Get Ahead of Outages Automation and machine learning (ML) empower teams to predict the scope of impact and drive action to resolve issues before they become outages. A global payments processing customer utilizing PagerDuty Advance has realized significant efficiency gains, reducing four days of manual toil each month and averting 45 minutes of disruption during each major incident. This optimization is estimated to translate into millions of dollars in monthly savings. Streamlined Remediation for Increased Response Efficiency A new unified chat experience and updates to the PagerDuty Operations Console strengthen response coordination and minimize context switching to allow teams to restore service more efficiently. With the PagerDuty Advance chat experience, it is estimated that customers can save approximately $490,000 for every 10 engineers responding to an incident. Additionally, PagerDuty estimates that customers utilizing the Operations Console could reduce the triage time spent by network operations center responders by 20% by determining the next best action for an incident. Harnessing Key Learnings for Future Application Enhancements to the PagerDuty Operational Maturity Model make it easier to turn learnings from outages into smarter, more efficient planned work for the future. When it comes to outage response, operational maturity is a critical lever in driving better business outcomes. After a cohort analysis to better understand the impact across customers during the July 19 outage, PagerDuty saw more operationally mature companies recovering more quickly and experiencing 60% less business impact than their peers. Learn about all the latest features of the PagerDuty Operations Cloud and more on our blog. PagerDuty, Inc. (NYSE:PD) is a global leader in digital operations management, enabling customers to achieve operational efficiency at scale with the PagerDuty Operations Cloud. The PagerDuty Operations Cloud combines AIOps, Automation, Customer Service Operations and Incident Management with a powerful generative AI assistant to create a flexible, resilient and scalable platform to increase innovation velocity, grow revenue, reduce cost, and mitigate the risk of operational failure. Half of the Fortune 500 and nearly 70% of the Fortune 100 rely on PagerDuty as essential infrastructure for the modern enterprise. To learn more and try PagerDuty for free, visit www.pagerduty.com. The PagerDuty Operations Cloud The PagerDuty Operations Cloud is the platform for mission-critical, time-critical operations work in the modern enterprise. Through the power of AI and automation, it detects and diagnoses disruptive events, mobilizes the right team members to respond, and streamlines infrastructure and workflows across your digital operations. The Operations Cloud is essential infrastructure for revolutionizing digital operations to compete and win as a modern digital business. _____ 1Parametrix, CrowdStrike (NASDAQ:CRWD)'s Impact on the Fortune 500 July 2024. The analysis report excluded any losses from Microsoft.