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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.

Daniel Roth shares insights on .NET 10 Preview 1, covering new features, performance boosts, and adoption strategies.
Dustin Campbell discusses C# 13's latest features, compatibility with older .NET versions, and AI's influence on developer productivity.
Scott Nichols discusses Azure AI Foundry, exploring efficient AI integration, leveraging resources, & enhancing application development.
Shaun Walker reflects on seven years of Blazor, exploring its evolution, best practices, and future in modern web development.
Matt McCleary discusses telemetry & observability in .NET Aspire, sharing best practices for monitoring, tracing, & optimizing applications.
Chris Ayers explores .NET Aspire and AI, sharing insights on cloud-native development and integrating AI into modern .NET applications.
Scott Ambler discusses the state of agile, sharing insights on scaling practices, addressing challenges, and evolving methodologies in 2025.
Ryan Booz discusses the future of databases by 2025, highlighting PostgreSQL advancements and strategies for modern data integration.

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