As digital sovereignty becomes a strategic requirement, organizations are rethinking how they deploy critical infrastructure and AI capabilities under tighter regulatory expectations and higher risk ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...

Microsoft is steadily broadening Azure's AI platform so developers have both richer building blocks for AI application development and more flexibility in where those applications can run. The effort ...

Microsoft unveiled its awkwardly named Copilot in Azure back in 2024. That was followed by the Azure Model Context Protocol Server, called from the GitHub Copilot agent in Visual Studio Code. Now, ...

As more organizations build applications with Azure AI services, security teams and developers are encountering new challenges tied to identity, data access and endpoint exposure. Traditional security ...

‘Essentially it addresses two scenarios when you are modernizing your applications on Azure, as well as when you are doing cloud-native development. It takes your developer experience beyond ...

Artificial intelligence is currently running on a one-lane CapEx highway that is capacity-constrained. Hyperscaler cloud providers are the largest contributor to the momentum and as such, investors ...

Microsoft and the NFL announced a multiyear extension of their partnership to bring real-time game data and analysis to the sidelines using Microsoft Copilot and Azure AI. The partnership will upgrade ...

Microsoft used Ignite 2025 to push Azure Cosmos DB further into AI search and agentic workflows, highlighting new capabilities aimed at developers building retrieval-heavy applications and multi-agent ...

Microsoft is set to report its fiscal second-quarter 2026 earnings on January 28, after market close, with investors closely watching whether strong cloud growth can offset rising costs tied to ...

Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving engines of insight. In the fast-evolving landscape of enterprise data ...