Where traditional monitoring ends, AI-powered observability begins скачать в хорошем качестве

Where traditional monitoring ends, AI-powered observability begins

Explore the podcast → https://ibm.biz/BdeD9L Operational disruptions don’t always come unannounced. There are often early warning signs—if only you have the right observability solution to catch them before they snowball into costly outages. In this episode of the AI in Action podcast, Vikram Murali, VP of Product Development for IBM Automation, explains how continuous observability has taken the baton from traditional asset performance monitoring (APM), giving a new meaning to operational resilience. When powered by AI, observability has transformed reactive measures into proactive steps, leading to more seamless operations and fewer costly disruptions. Catch the full discussion to learn how you can run your business smoothly by tapping into the combined power of AI and observability for intelligent automation that can supercharge your IT operations, ultimately delivering a better experience for your customers. 0:00 - Intro 03:35 - How do AI solutions affect observability? 07:35 - How much visibility does observability provide? 12:26 - The difference between good and bad observability tools 20:21 - Choosing the right data for the observability tool 23:42 - Balancing power and control in agentic frameworks 26:33 - Getting started with observability AI news is moving fast. Keep your business ahead with updates about AI advancements, strategies and expert perspectives → https://ibm.biz/BdeD99 The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity. #observability #agenticai #generativeai #automation