Taking an Innovative Approach to AIOps

IT leaders in both the public and private sectors are wrestling with the complexities of keeping several generations of technology working together. Government agencies in particular are struggling to integrate everything from legacy systems and mainframes to three-tier architecture with multiple hyperscaler vendors – retiring obsolete systems is almost impossible when they host mission-critical operations.

Artificial intelligence for IT operations (AIOps) offers an opportunity to ease the magnitude of the challenge. AIOps automates, streamlines and enhances IT effectiveness using AI and machine learning (ML).

Agentic AI is the future of AIOps. By leveraging the next generation of generative AI, government entities are able to provide proactive intelligence, automated root cause analysis, and act autonomously to manage complex IT environments.

Learning Objectives:

• Analyze your agency’s adoption of genAI to date and the opportunities that remain available
• Delineate the IT use cases for which genAI is used and how those applications support the agency mission
• Evaluate how agentic AI can advance your agency’s technology modernization and improve outcomes