On April 25, 2025, at 1 PM ET (10 AM PT, 6 PM BST), an online event organized by BigPanda will take place, promising to revolutionize incident management in the field of information technology. This gathering will focus on the transformative impact of artificial intelligence in incident detection, investigation, and resolution, an essential component in an environment where speed and efficiency are crucial.
In recent years, the pressure on IT teams has grown exponentially. The need to respond quickly to incidents faces challenges such as siloed data, manual processes, and increasing operational complexity. These difficulties can lead to prolonged resolution times, unsatisfactory customer experiences, and significant economic losses due to service disruptions. During the event, participants will have the opportunity to learn how to optimize IT service management workflows using artificial intelligence, aiming to enhance incident resolution effectiveness.
Attendees will discover that organizations are saving an average of 30 minutes on each task during incident investigations. The session will also address some common challenges, such as ineffective communication and manual processes that often lead to unnecessary calls and poor documentation. It will explore how insights generated by artificial intelligence can provide relevant information for impact assessment, task prioritization, and risk analysis associated with system changes.
The event will feature Katie Petrillo, Senior Director of Product Marketing at BigPanda, who will share her extensive experience in IT operations and incident management. Joining her will be Travis Carlson, Senior AI Product Manager, known for his ability to unravel complex systems and his involvement in the development of generative AI technologies at BigPanda, as well as his previous experience at companies like Cisco and VMware.
Attendees of this online presentation will not only gain practical knowledge and real-world examples, but also take away tools to prevent future incidents, based on operational and ITSM data analysis. These learnings can make a significant difference in how organizations manage their technological infrastructure.
Referrer: MiMub in Spanish
