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First-of-its-kind telecom AI deployment Telecommunications organizations are increasingly looking to AI to help teams navigate highly specialized domains, but generic models often lack the industry-specific knowledge needed to understand telecom networks, standards, and operations. To address that gap, AT&T created their Open Telco (OTel) models, the next generation of telecom-focused AI designed to bring deeper…
Microsoft Azure Databricks delivers the first-party advantage of Databricks on Microsoft—and for customers, that advantage shows up as real, measurable value. It is the same Databricks platform your teams already know, co-engineered with Microsoft and delivered as a native Azure service, so it fits naturally into the Microsoft tools, identity, and governance your organization already…
What’s new todayGPT‑5.6 is generally available in Microsoft Foundry, alongside the Asia-Pacific Data Zone, and hosted agents in Foundry Agent Service. AI only creates value when it shows up in real systems—systems that are reliable, observable, and aligned to business outcomes. More than 100,000 organizations are already building on Microsoft Foundry, and companies like Adobe,…
In this article How Azure’s AI-powered reliability intelligence system works Why Brain is needed What is Brain? Azure’s centralized AIOps for cloud reliability Foundations of Azure’s digital twin for cloud health What it means to operate against a cloud intelligence system The future of agentic AI and cloud operations What’s next for Azure reliability and…
Takeaway: Azure Chaos Studio helps organizations validate application resilience by simulating outages, failovers, network disruptions, and infrastructure failures before they impact production. You don’t know with certainty that your application is resilient until that resilience is tested. Better to learn it isn’t by deliberately breaking it in a test environment and watching how it reacts,…
Claude in Microsoft Foundry is the production path enterprises have been asking for: true frontier model choice, Azure-native controls, simplified procurement, and faster time to value. Most enterprise AI projects do not stall because of model quality. They stall because of everything around the model: procurement, governance, networking, and data. Claude in Microsoft Foundry is…