How many times were you woken up during the night to either spend more time than you would like trying to figure out what exactly broke, or just bash your keyboard in frustration once you figure out it was actually a false positive?
What if there was a better way? I mean, AI is everywhere nowadays, what if we used it to solve these problems?
Let's talk about AIOps and, through real-world case studies and industry research, see why it enables companies to reduce their MTTR by 62%, cut their alert noise by 91%, and predict 87% of potential service degradations before they impact customers.
We will take a journey through the evolution of AIOps: from early AI analytics, to the rise of GenAI, and taking us to the latest promised savior: Agents.
But how do Agents help us when incidents come to knock? Will they speed us up? Are they even able to fix incidents without having to wake us up?
And even if Agents are here to change everything, where are the gaps? Can everything be "agentified"?