AI, observability and automation at scale are converging to redefine how modern applications are built, monitored and optimized. IBM Corp.’s approach is two-pronged — automating applications with AI and creating a conducive environment, through observability, to manage them. Chris Farrell, group product manager of Instana observability at IBM. “We’re focused on both those things at the same time, simultaneously. One of the things that we’re doing is putting AI into the observability aspect of managing the applications. We have recently released integration with watsonx to create summarizations of problems in plain English so that anyone can get a summarization and print it out.” Central to IBM’s approach is the integration of AI into observability tooling, particularly through Instana and its connection with watsonx. This powerful combination enables AI-generated problem summaries in plain English, simplifying issue triage for both technical and non-technical teams. Additionally, IBM is taking steps toward AI-based remediation. With watsonx, problems can be detected and suggestions — or even automated actions — can be triggered to resolve them. This shift reduces the time between incident detection and resolution, enhancing uptime and operational efficiency, according to Farrell.