New reports detail a massive increase in ICE's reliance on Microsoft cloud and AI tools, challenging the company's stance on ...

The ability to connect to both cloud and on-premises versions of Azure DevOps is a significant advantage. It means the server can be a consistent part of your AI-DevOps workflow, regardless of where ...

The excitement around generative AI has pushed large language models (LLMs) to the forefront of enterprise software development--but getting those models into production is where the real complexity ...

As agent-based AI systems grow more sophisticated, developers are moving well beyond basic Retrieval-Augmented Generation (RAG) into a new era of autonomous, tool-integrated, and multi-agent ...

Devops teams are partnering with AI copilots and agents to manage multicloud complexity. Here are seven ways genAI can improve multicloud adoption, governance, observability, and more.

Using generative AI tools in your workplace? Put these three policies in place to safeguard your organization's sensitive data.

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, ...

Running large AI models is hard. This chip can help you run them faster, scale better, and cut delays in real cloud ...

OpenAI’s New Open Models Are Available on Microsoft’s Azure AI Foundry Your email has been sent Developers can now build, test, and deploy applications powered by OpenAI’s gpt-oss models within the AI ...

Artificial intelligence has emerged as a key tool for companies to drive growth — and reduce labor costs —particularly as pressure mounts for businesses to remain competitive. Companies in industries ...

Overview: The AI boom is driving massive spending across chips, cloud, software, and energy, creating a powerful multi-sector growth cycle.Leaders like NVIDIA, ...