Cycle time, accuracy, cost per successful task completion, and end-user satisfaction are vital metrics that will give visibility into the success of AI projects.
copilot
AI agents present opportunities to break down data silos, forecast health events, and develop personalized treatment plans. Such use cases benefit patients, providers, and the entire healthcare ecosystem.
Microsoft and Gong are integrating AI-driven sales intelligence into Microsoft 365 and Dynamics, enabling sellers to automate workflows, access deep conversation insights, and drive faster, data-informed decisions using Copilot and custom agents.
Research from Andreessen Horowitz captures the top trends in GenAI usage among enterprise firms; several findings indicate increasing maturation of the technology and enterprise AI practices.
Sample app highlights how MCP can equip users with the industry-specific data they require from a diverse set of external tools and systems, working alongside a powerful AI orchestration engine.
Microsoft demos specific Purview functions that customers can tap into in AI use cases so they are protecting critical corporate data assets from both malicious external actors and insider threats.
From multi-agent interactions to supply chain vulnerabilities, AI agents introduce a number of potential security risks. A new resource lays out the risks and steps to prevent them, while leaning on red teaming practices.
Most companies aren’t ready for AI — not culturally, technically, or in terms of workforce adoption — despite the rapid pace of technological advancement.
Military branch lays out goals, objectives, and requirements for success with AI on the battlefield and throughout the service, with guidelines that deliver powerful lessons for enterprise customers.
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.
Microsoft partners with AI software provider Gong to deliver the latter’s sales intelligence directly into customers’ software ecosystem for higher sales performance.
Security executive Krista Arndt explains how Security Copilot, agents improve response time to security incidents, accelerate training of new security professionals.
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.
IBM has launched a dedicated Microsoft practice within its consulting arm to help clients accelerate AI-driven digital transformation, reduce costs, and navigate the complexities of enterprise modernization.
Bank’s C-suite security leader laments the state of security with SaaS applications including AI and calls on the industry to step up its game.
Microsoft’s new “computer use” feature in Copilot Studio allows AI agents to interact with desktop apps and websites through GUIs — paving the way for more powerful, intuitive automation.
AI usage data gathered by Stanford researchers shows extensive reach in the tech industry, media and telecom, and professional services. Strategy and finance use cases are driving strong revenue impact.