Browse All Machine Learning Content (113)

Darren Portillo outlines Microsoft Purview updates for Microsoft Fabric focused on preventing data oversharing and improving governance and data quality, with new DLP, Insider Risk Management, DSPM, and Unified Catalog capabilities aimed at supporting safer AI adoption.

Welcome to this week’s roundup. The common thread is agents moving beyond “helpful chat” into real execution across IDEs, terminals, CI, and cloud operations. Copilot’s latest changes focus on autonomy and repeatable behavior through repo-visible instruction files, lifecycle hooks, clearer model routing, and faster PR review workflows, while modernization tooling ties assessments and plans directly to issues and pull requests. In parallel, the rest of the stack is catching up to the day-to-day requirements of running agents like software: traces and debugging loops, structured outputs and schema enforcement, and clearer guardrails around approvals, secrets, and identity-based access.

Microsoft Fabric Blog details how VS Code users can now deploy SQL database schema changes directly to Fabric, streamlining data engineering workflows. Author Microsoft Fabric Blog explains new publish dialog and item templates, improving productivity for database and application development teams.

The Microsoft Fabric Blog team showcases how agentic AI apps can be operationalized for production with Microsoft Fabric, highlighting real-time monitoring, data governance, and analytics.

stclarke summarizes Microsoft's GDC 2026 announcements, highlighting major updates for Windows PC game development including new DirectX/PIX features, a broader Xbox mode, and advancements in ML-driven graphics pipelines.

stclarke announces 'The Shift' podcast, a new Microsoft series delving into agentic AI, cloud engineering, and data strategy with insights from product teams and technical leaders.

Microsoft Fabric Blog details how ExtractLabel in Fabric AI Functions lets data engineers and scientists extract structured information from unstructured text using AI, JSON schema contracts, and scalable data platforms.

Coryskimming from Microsoft introduces the packed line-up for Azure at KubeCon Europe 2026, spotlighting hands-on AKS labs, AI/ML workload sessions, security, cloud-native DevOps practices, and open-source solutions from Microsoft's top engineers.

Justin Yoo details how to build a production-ready AI interview coach using Microsoft Agent Framework, Foundry, MCP, and Aspire, sharing multi-agent orchestration, cloud infrastructure, and .NET integration strategies.

damocelj offers a practical walkthrough on securely deploying LLM inferencing with vLLM and NVIDIA NIM microservices in air-gapped Azure Kubernetes Service clusters, tackling network isolation, GPU configuration, and model artifact challenges.

Welcome to this week's Tech Roundup. GitHub Copilot continues to broaden its features, with agent automation in VS Code, deeper CLI integration, and finer model management. The AI landscape now includes new agentic frameworks, standardized skill libraries, and orchestration tools for complex deployments. Azure remains central in enabling real-time, AI-powered solutions. Security and DevOps teams further reinforce automation and cloud-native practices, focusing on operational reliability and compliance. Let’s look at the updates influencing development workflows and cloud technology.

bobmital shares a hands-on playbook for optimizing enterprise LLM inference on Azure, guiding technical teams through architecture, hardware selection, quantization, and model serving best practices across AKS, Ray Serve, and vLLM.

Nick Brady rounds up February 2026's major Microsoft Foundry updates—including the arrival of frontier AI models, Agent Framework RC, REST API GA, SDK previews, and architectural innovations for developers and machine learning practitioners.

Microsoft Fabric Blog presents a step-by-step guide to configuring secure, private network data streaming to Fabric using Eventstream connectors. The article walks through prerequisites, Azure integration, security considerations, and best practices for technical implementation.

bobmital examines the architectural and economic challenges of large language model inference at enterprise scale, with a focus on Azure and Anyscale’s Ray integration for distributed AI workloads.

The Microsoft Fabric Blog team explains the updated, simplified permissions required to use semantic models in Fabric data agents, making it easier for users with read access to interact with these models.

bobmital examines the unique challenges of enterprise-scale LLM inference, focusing on the interplay of accuracy, latency, and cost in Azure deployments using Anyscale Ray and AKS. This article provides actionable insights for architects and engineers deploying AI workloads in the cloud.

AnaviNahar introduces Azure Databricks Lakebase, now generally available, highlighting its serverless architecture and AI-native features for building real-time, intelligent applications on Azure.

bobmital presents a comprehensive and practical guide for deploying and optimizing large language model inference on Azure Kubernetes Service, focusing on engineering tradeoffs, GPU efficiency strategies, open-source model evaluation, and robust enterprise security architecture.

This week’s tech roundup explores the latest in AI-driven automation, cloud workflow updates, and secure engineering practices. Both developers and enterprise teams gain new Copilot features, agent-based architecture, and production releases across platforms like Azure, Microsoft Fabric, and SQL. As organizations evolve their approaches to cloud automation, machine learning orchestration, and DevOps security, actionable guides and advanced analytics help teams maintain confidence and agility in daily operations.