*This article was originally published in Help Net Security. Let’s talk about a couple of recent horror stories. Late last year, a Chevrolet dealership deployed a chatbot powered by a large language model (LLM) on their homepage. This LLM, trained with detailed specifications of Chevrolet vehicles, was intended to respond only to questions about Chevrolet cars.

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.