Showing tag results for ai apps

The path from prototype to production for AI/ML workloads is rarely straightforward. As data pipelines expand and model complexity grows, teams can find themselves spending more time orchestrating distributed compute than building the intelligence that powers their products. Scaling from a laptop experiment to a production-grade workload still feel...

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...

Imagine an AI-powered world where assistance goes beyond tasks -- where intelligent agents debate, learn and collaborate with the wisdom of history's greatest minds. What if Socrates, Plato, and Aristotle could step into the digital age, engaging in vibrant discussions and offering their timeless perspectives. In this article, I'll delve into how A...

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...