In the second significant update since the company launched the agent interoperability spec in April, the company is making it easier for partners to capitalize on key facts of its development platforms and get agents in front into market.
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IBM Power11 redefines enterprise computing with AI-optimized performance, hybrid flexibility, and unmatched reliability.
Vendor-agnostic AI agent orchestration platform gains AWS-centric functionality and consulting firm indicates similar integrations wll be offered for other hyperscalers.
With the latest wave of Copilot features, Microsoft enhances AI functionality for Outlook, mobile users, and Mac installed base.
Oracle and AWS are turning rivalry into results with Oracle Database@AWS now generally available.
SAP leads by example, leveraging its own sustainability software to tackle data management, compliance, and emissions tracking challenges.
Leading cloud and AI providers are partnering with enterprise customers to develop a comprehensive framework designed to secure AI systems and agents, advancing the industry’s ongoing push for stronger safeguards.
Ajay Patel of IBM outlines how enterprises are shifting from AI experimentation to real-world application, especially in sales, R&D, and operations.
In response to Europe’s complex data regulations, AWS has created a sovereign cloud offering high performance without compromising compliance or security.
Community resource documents security vulnerabilities in the Model Context Protocol (MCP) while detailing ways to lock down the AI agent interoperability specification.
Security software leader weighs in on agent security considerations, his firm’s partnership with Microsoft for Copilot Studio, and security of emerging agent-to-agent communication protocols MCP and A2A.
New functionality in Azure AI Foundry, Copilot Studio, and GitHub brings major advances in building and managing AI agents while selecting the optimal model for developer flexibility.
This week’s Build conference featured a new round of AI agent interoperability initiatives from Microsoft, with a particular focus on Model Context Protocol (MCP) and new servers.
SAP leaders argue that agentic AI will enhance — rather than replace — enterprise applications by integrating seamlessly with data and AI capabilities.
Oracle and IBM deepen their partnership to bring watsonx to Oracle Cloud Infrastructure, accelerating enterprise adoption of agentic AI and hybrid cloud solutions.
Workday takes a cautious, customer-driven approach to agentic AI by focusing on a small number of high-impact AI agents to ensure business value and trust.
Google Chrome is transforming into an AI-enhanced enterprise platform with cutting-edge security and productivity features, explains Parisa Tabriz.
Data.world acquisition, partnerships with key enteprise software players, and wide range of new AI agents enhance the company’s objective to be the core enterprise software platform.
Microsoft brings Agent2Agent (A2A) to Azure AI Foundry and Copilot Studio, accelerating the era of agentic AI through open protocol interoperability.
Adam Lieberman details AI focus at financial software provider Finastra: enterprise efficiency, devleoper productivity, and client commercialization. He also outlines the firm’s work with Microsoft.