Scaling AI with Microsoft Tools - AI n DOT NET
Scaling AI with Microsoft Tools explains how organizations can move beyond isolated AI experiments and build enterprise-grade, scalable artificial intelligence systems using Microsoft’s trusted ecosystem. The article highlights common challenges that stall AI projects when they grow from proof-of-concept to production such as data fragmentation, model drift, and compute bottlenecks and shows how robust Microsoft solutions help overcome them.
The guide details the Microsoft stack that enables scalable AI, including Azure AI Services, ML.NET, Azure Machine Learning, and orchestration tools like Semantic Kernel and Azure Copilot Studio, helping teams deploy, monitor, and maintain intelligent applications securely and efficiently. It also presents real-world scaling scenarios from optimizing supply chain forecasting to expanding chatbot usage across departments and rolling out sentiment analysis engines across regions demonstrating how businesses can grow AI solutions to meet enterprise needs.
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