Operations | Monitoring | ITSM | DevOps | Cloud

Organizations are constantly faced with the need to adapt and change to stay competitive. AI change management has emerged as a powerful tool to help companies navigate these challenges. By leveraging artificial intelligence (AI) technologies, organizations can streamline their change management processes, improve communication, and drive successful outcomes.

Imagine having a super-intelligent teammate who can anticipate IT problems before they arise, streamline incident management, and provide crystal-clear insights into your IT landscape. This isn’t science fiction—it’s the reality with Edwin AI, LogicMonitor’s newest innovation in AI for IT operations.

Many organizations face increased costs from excess noise, manual workflows, and long outage times. These inefficiencies negatively impact budget, service uptime, and, ultimately, customer satisfaction. With effective use of AI, you can give operators the most relevant, full-context incident data, providing a greater understanding of an incident within seconds.

Kubeflow 1.9. Kubeflow is a fully open source MLOps platform, part of the Cloud Native Computing Foundation (CNCF) as an incubation project. Canonical is one of the project’s official distributors, ensuring security maintenance of the container images, tight integration with the wider AI/ML ecosystem, and delivering enterprise support and managed services. The latest release offers new features related to GenAI, enabling organisations to run any new initiative in production.

I’ve been working with artificial intelligence (AI) for a long time, so I’m always curious to hear what new engineers think about its potential impact on our lives and the world at large. That’s why I recently sat down with Saliha Demir on our podcast.