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Microsoft’s Foundry Agent Service introduces a memory capability so conversational agents can retain context across interactions rather than being stateless. This aims to prevent agents from repeating questions and removes the need for developers to build custom memory solutions using embeddings and external databases.
This Microsoft Foundry Blog post, “Translation Customization, A Developer’s Guide to Adaptive Custom Translation,” argues that translation is more than word-for-word conversion and is essential for global business communication. It highlights the need for accuracy, speed, and domain-specific terminology — noting that 70% of consumers prefer content in their native language — and frames a developer-focused guide for implementing adaptive custom translation to enable real-time, high-quality multilingual experiences.
Microsoft Foundry introduces Multi-Agent Workflows in the Foundry Agent Service to help organizations move beyond single-purpose agents toward orchestrated, multi-step, role-based AI processes that include stronger governance and operational dependability for enterprise use.
Microsoft announced that Azure Content Understanding in Foundry Tools is now generally available. The GA follows preview usage across multiple industries and incorporates customer feedback; the release emphasizes flexibility and control with models.
Microsoft announces Foundry Local for Android, a preview that lets developers run AI models directly on Android devices without cloud round trips. The release also introduces on-device speech capabilities, on-premises deployment options, and a simplified SDK to make integrating local AI into mobile apps easier. A gated preview signup is available.
This tutorial shows how to evaluate and optimize retrieval-augmented generation (RAG) agents in Microsoft Foundry using Foundry Observability. It recommends running end-to-end, reference-free RAG triad evaluators (Groundedness and Relevance) and applying advanced search and retrieval tuning before deployment.
A practical developer guide from Microsoft Foundry showing how to start using Azure OpenAI’s next-generation GPT-4o audio models to build transcription and text-to-speech applications. The post explains the capabilities of the audio models, required setup in Azure/OpenAI and Foundry, best practices for integration, and considerations for testing, deployment, and costs.
Microsoft announced the integration of Azure Language into Foundry Tools to support building enterprise-grade agents that emphasize deterministic behavior and stronger privacy protections. The update is positioned to help teams create predictable, secure agentic applications with tighter integration across their AI stack.
Microsoft Foundry now offers major public-preview enhancements for models and agentic AI pipelines, including an AI Red Teaming Agent that helps organizations proactively identify and mitigate safety and security risks in models and agentic systems before they enter production.
This post is a curated session guide for Microsoft Ignite 2025 focused on Azure AI Foundry, highlighting must-see developer sessions for hands-on learning, practical demos, and expert insights to help developers plan their conference schedule.