News from the AI & ML world
DeeperML
Coral Garnick@Madrona
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Microsoft is intensifying its efforts in AI agent technology, signaling a significant shift towards the "autonomous enterprise." At Microsoft Build 2025, the company highlighted its focus on agentic AI, including the expansion of Azure AI Foundry to support complex workflows and multi-agent systems. This platform now processes billions of enterprise queries daily, serving over 70,000 customers, and is being enhanced with Grok models from xAI, giving developers a wider selection of AI tools. CVP Charles Lamanna emphasizes that AI agents are fundamentally reshaping teams, tools, and workflows, predicting a future where "there will now be ‘an agent for that’" instead of just an app.
The introduction of the Model Context Protocol (MCP) servers for Microsoft Dynamics 365 ERP and CRM is aimed at enhancing AI agent interoperability. These servers break down data and application silos, allowing agents to work across processes, thereby enabling new autonomous scenarios for improved business functionality and productivity. Microsoft is also pushing for multi-agent workflows and on-device AI through Foundry Local, supporting open protocols like Agent-to-Agent (A2A) and MCP to streamline AI system communication. These protocols are crucial for creating an 'open agentic web', allowing diverse AI systems to work together efficiently.
To ensure practical implementation for developers, Microsoft has introduced AgentOps tools within Azure AI Foundry. These tools provide real-time insights into agent performance, covering aspects such as efficiency, cost, and safety, which are often overlooked during deployment. NVIDIA, through its AI-Q Blueprint, is also addressing the challenge of integrating multiple vendor agent systems by promoting interoperability among agents, tools, and data sources. As Bartley Richardson from NVIDIA noted, enterprises must acknowledge the reality of multi-vendor environments and strive to seamlessly mesh different agent systems to drive efficiency across industries, even if the agentic systems don’t get it right 100% of the time.
References :
The introduction of the Model Context Protocol (MCP) servers for Microsoft Dynamics 365 ERP and CRM is aimed at enhancing AI agent interoperability. These servers break down data and application silos, allowing agents to work across processes, thereby enabling new autonomous scenarios for improved business functionality and productivity. Microsoft is also pushing for multi-agent workflows and on-device AI through Foundry Local, supporting open protocols like Agent-to-Agent (A2A) and MCP to streamline AI system communication. These protocols are crucial for creating an 'open agentic web', allowing diverse AI systems to work together efficiently.
To ensure practical implementation for developers, Microsoft has introduced AgentOps tools within Azure AI Foundry. These tools provide real-time insights into agent performance, covering aspects such as efficiency, cost, and safety, which are often overlooked during deployment. NVIDIA, through its AI-Q Blueprint, is also addressing the challenge of integrating multiple vendor agent systems by promoting interoperability among agents, tools, and data sources. As Bartley Richardson from NVIDIA noted, enterprises must acknowledge the reality of multi-vendor environments and strive to seamlessly mesh different agent systems to drive efficiency across industries, even if the agentic systems don’t get it right 100% of the time.
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References :
- AIwire: Details on Microsoft's vision for an 'open agentic web' and its focus on agentic AI at Build 2025.
- insideAI News: This article discusses the vision of an "open agentic web" from Microsoft, highlighting the significance of developers in AI and the company's embrace of diverse models.
- www.infoq.com: Microsoft Announces AI Agent and Platform Updates at Build 2025
Classification:
- HashTags: #Microsoft #AIAgents #Azure
- Company: Microsoft
- Product: Azure AI Foundry
- Feature: AI agents
- Type: AI
- Severity: Informative