Browse All Machine Learning Content (215)

Microsoft Fabric Blog announces the GA release of the Fabric Eventstreams SQL operator, focusing on code-first SQL transformations for real-time pipelines, including multi-destination fan-out, built-in testing, and event-time processing for late and out-of-order data.

Microsoft Fabric Blog announces a preview feature that mirrors a Dremio Iceberg catalog into OneLake using shortcuts for a zero-copy approach, so Fabric workloads can query Dremio-managed tables without duplicating data or building ETL pipelines.

This week’s roundup is about the trade-offs that show up when agents move from demos to daily work: more surfaces, more automation, and more reasons to enforce limits and policies. GitHub Copilot expanded agent experiences and model options (including GPT-5.5 GA), but it also introduced tighter individual usage controls and shifting access to premium Claude Opus models. On the Microsoft side, Azure AI Foundry, Agent Framework, and Fabric leaned into governed tool execution through MCP, with secure networking, managed identity, and outbound restrictions becoming default expectations. We close with the less glamorous but essential work of reliability and security: upcoming GitHub protocol and token changes, DevSecOps tuning via CodeQL and dependency graphs, and Defender research that turns real intrusion chains into actionable hunts and containment steps.

Parvathy_R_Pillai compares traditional ML pipelines with Azure AI Foundry, focusing on the shift from model-centric delivery to operating end-to-end AI applications (including agents) with built-in governance, evaluation, and observability for production use.

kmalkov shares a real-world fintech lending ML decisioning workload evaluated using Microsoft’s Analog Optical Computer (AOC) digital twin on Azure, focusing on production-scale volumes, weighted ensemble models, and end-to-end explainability and auditability for credit, affordability, and risk decisions.

stclarke shares a LinkedIn post about Cricket Australia’s Live app, highlighting how Azure OpenAI and Azure Cosmos DB power “AI Insights” that let fans explore match context, player stats, and cricket history with fast, personalized responses.

PeterTHLee shares a validated Azure reference architecture for drone-based industrial inspections that combines deterministic computer vision with Azure OpenAI reasoning. The post breaks down an event-driven pipeline (Blob Storage → Functions → Vision/AML → OpenAI → Foundry evaluation → Cosmos DB → Power BI) and calls out security controls needed for production use.

John Savill's Technical Training runs through the Azure Update for 24th April 2026, covering service retirements, new AKS and Functions changes, Azure Monitor and Application Insights updates, storage improvements, Cosmos DB and PostgreSQL Flexible Server enhancements, plus a quick look at new model releases.

Subhajit1994 breaks down the real design choices behind a Bronze/Silver/Gold medallion framework, focusing on where responsibilities should live (staging, cleaning, modeling, marts), and how to make decisions around load patterns, orchestration, retries, observability, schema evolution, and replayability.

ankitasarkar explains why a pure RAG approach can produce inconsistent or logically wrong matches in enterprise document mapping, and how adding a knowledge-graph layer to constrain retrieval improves consistency, relevance, and explainability.

GalimahB shares a Microsoft Build //local host kit overview, listing breakout sessions and hands-on labs you can run in your city—covering GitHub Copilot agentic workflows, Microsoft Foundry (agents, models, evals), and Azure topics like Container Apps, AKS, databases, and Cobalt VMs.

Moaz_Mirza outlines a reference architecture for “agentic” data governance across hybrid/multi-cloud estates using Azure Arc, Microsoft Purview, and Microsoft Fabric, with a Copilot-style agent (via Power Platform/Teams) that reports on compliance and can enforce selected controls through Azure Functions and policy-driven actions.

Microsoft Fabric Blog announces GA support for nested folders in OneLake shortcut transformations, enabling recursive discovery and incremental processing of structured files (CSV, Parquet, JSON) across subfolders and writing results into Delta tables while preserving directory structure and preventing shortcut cycles.

Microsoft Fabric Blog announces a preview feature for OneLake: resource instance rules, which let Fabric workspace admins allow inbound access from specific Azure resource identities (ARM IDs) instead of relying on IP allowlists, while still working alongside Private Link and IP firewall rules.

Microsoft Fabric Blog announces general availability of cross-workspace logging for MLflow in Microsoft Fabric, enabling teams to promote experiments and registered models across Dev/Test/Prod workspaces using standard MLflow APIs, with support for enterprise network controls like Outbound Access Protection and managed private endpoints.

Aseem Datar announces expanded preview access for Microsoft Discovery, an Azure-based agentic AI platform for R&D. The post explains how Discovery combines agent orchestration, graph-based knowledge, and HPC to run iterative “discovery loops,” and shares early customer examples in materials science, oncology research, engineering simulation, and chip design.

Nikola Zagorac explains how SQL Server 2025/Azure SQL Change Event Streaming (CES) can push row-level change events (in CloudEvents JSON) directly into Microsoft Fabric Eventstream via an Event Hubs–compatible custom endpoint, enabling near-real-time analytics and downstream routing in Fabric Real-Time Intelligence.

Abhishek Narain announces the general availability of workspace outbound access protection (OAP) for Microsoft Fabric Data Factory workloads, explaining how workspace admins can restrict outbound connections to trusted endpoints to improve security, prevent data exfiltration, and support compliance needs.

Microsoft Fabric Blog announces a preview of Customer-Managed Keys (CMK) for Fabric Eventhouse, letting customers manage their own encryption keys to meet compliance and regulatory requirements and add an extra layer of protection for data stored in Eventhouse.

Microsoft Fabric Blog explains how Model Context Protocol (MCP) enables AI assistants and agents (including GitHub Copilot and Copilot Studio) to discover and operate Microsoft Fabric via new Local (GA) and Remote (preview) MCP servers, covering OneLake operations, API-grounded code generation, and security controls like Entra ID, RBAC, and audit logs.