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One of the most promising applications of generative AI in today’s enterprise landscape is automating business processes. These workflows often involve nuanced decisions and inconsistent or unstructured data, making them difficult to automate with traditional logic-based systems.

Learn how to build a RAG pipeline in .NET using SQL Server 2025 vector search, Azure AI Vision, and Azure AI Foundry to power intelligent semantic photo search.
The software development landscape is undergoing a profound transformation with the rise of AI-driven tools and autonomous coding agents.

One of the most promising applications of generative AI in today’s enterprise landscape is automating business processes. These workflows often involve nuanced decisions and inconsistent or unstructured data, making them difficult to automate with traditional logic-based systems.

One of the most promising applications of generative AI in today’s enterprise landscape is automating business processes. These workflows often involve nuanced decisions and inconsistent or unstructured data, making them difficult to automate with traditional logic-based systems.

Boost software development productivity using AI tools like GitHub Copilot and LLMs. Learn how developers can leverage AI today for real-world impact.
AI won’t replace developers—it’ll boost them. Learn how clean architecture and leadership can help you thrive with AI in software development.
A high-performing software team doesn't just come into existence by chance. You have to design it and build it.
While it is useful and necessary to learn and use AI tools, .NET developers need to be able to integrate AI into existing software applications.

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