If you’ve been following along with the AI Genius Series, you already know we’ve been on a journey, one filled with learning, experimentation, and discovery. We’ve explored the power of Retrieval Augmented Generation (RAG), dived into Copilot deployment, and unlocked the potential of Azure’s AI ecosystem. But now, it’s time to take all that knowled...

Understanding Multi-Agent Workflow Automation  At its core, a multi-agent architecture is like a team of specialized experts working together on complex tasks. Instead of having a single AI agent trying to handle everything, multiple AI agents—each with specific roles and capabilities—collaborate to achieve common goals. Think of it as the differe...

As organizations explore new AI-powered experiences and automated workflows, there's a growing need to move beyond experiments and proofs-of-concept to production-ready applications. This guide walks you through the essential steps and decisions for building robust AI applications in Azure, focusing on reliability, security, and enterprise-grade qu...

Do you find yourself drowning in company documentation, spending hours searching through SharePoint, knowledge bases, and contract repositories for one specific piece of information? You're not alone. Organizations now have plenty of information – the challenge lies in finding the right information when you need it. We have built a packaged GitHub ...