Operations | Monitoring | ITSM | DevOps | Cloud

Welcome to our comprehensive guide on the real-world deployment of Azure OpenAI using AI Central. As AI technologies continue to evolve, the ability to effectively deploy, manage, and optimize AI services becomes increasingly critical. This guide is based on insights shared during a recent webinar hosted by experts from 2bcloud, a leading global managed service provider (MSP).

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.

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.