Top Three Agentic AI Use Cases for Modern IT Operations

Top Three Agentic AI Use Cases for Modern IT Operations

The emergence of agentic AI represents a paradigm shift from automated workflows requiring constant human oversight to autonomous systems that bridge the gap between insight and action. AI agents don’t just analyze data. They understand operational context across distributed systems, take independent action within defined parameters and continuously learn. This can be a lifeline to any team struggling to manage critical operations amidst alert f…

Agentic AI at Scale: Use Cases, Costs and Ramifications

Agentic AI doesn’t just answer questions; it takes action. Think of it as generative AI with a persona, access to digital tools and a mission. When you give it a prompt, it builds a work plan, breaks that down into tasks and subtasks and then goes off to complete them — often with little human involvement.  Don’t let that scare you. Agentic AI isn’t about creating automatons that might decide humans are obsolete. To the contrary, they are team h…

Real-world use cases for agentic AI

Remember those simple days of yore, when generative AI meant sending a question to an AI model and getting an answer in return? You might add in a vector database to provide some context for the question and some guardrails for safety and security. That sounded hard at the time, but in retrospect it was a walk in the park. Today, the trending technology is agentic AI systems. Instead of a chatbot, a vector database, and a guardrail, you now have…