Azure Content Understanding is becoming a structured-understanding layer for documents, images, audio, and video. Use the GA API for production automation. Evaluate preview capabilities only when syn...

Open-weight models can be valuable, but they are not automatically cheaper, safer, or more controllable. In Microsoft Foundry, the right decision depends on deployment path, licensing, data-processin...

The question customers keep asking  Customers often ask: If Azure Databricks already supports data engineering, machine learning, and AI agents, why should we use Microsoft Foundry? And if Microsof...

The question customers keep asking  Customers often ask: If Azure Databricks already supports data engineering, machine learning, and AI agents, why should we use Microsoft Foundry? And if Microsof...

Creating a presentation should begin with the message, not with searching for the latest logo, confirming the correct font, or finding a slide deck that looks close enough to the corporate standard. ...

As AI projects move from pilots to production, model deployments often spread across subscriptions, regions, and application teams. A practical operations dashboard gives platform, engineering, gover...

A protected item exists. Its policy has a sensible name. The vault appears in the inventory. Before a busy booking period, the reliability team still has a practical question: which part of this pr...

Fabric and Azure Databricks overlap, but optimize different operating experiences. Fabric integrates OneLake, engineering, warehousing, real-time analytics, and Power BI as SaaS. Databricks combines ...

A VM-only review misses the unit economics of managed data and AI services. A useful review asks what it cost to produce one reliable outcome, then includes DBUs, capacity units, activity runs, integ...

Microsoft Foundry governance works best when teams separate broad Azure controls from Foundry resource controls, project access, model deployment configuration, and agent endpoint permissions. This a...