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.
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Microsoft’s latest announcements boost agentic AI adoption with Copilot Tuning, multi-agent orchestration, and new developer tools for accessible, enterprise-ready AI.
Microsoft and OpenAI are reshaping their partnership, paving the way for an IPO and new strategic dynamics in AI leadership.
Institute for Business Value delivers a detailed outlook on agents’ impact across a wide range of business functions, with the greatest impact forecast in customer service and human resources.
Oracle and IBM deepen their partnership to bring watsonx to Oracle Cloud Infrastructure, accelerating enterprise adoption of agentic AI and hybrid cloud solutions.
ServiceNow’s AI Maturity Index provides a five-stage framework based on insights from 4,500 companies to help enterprises benchmark, govern, and accelerate their AI strategies.
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.
Workday introduces a centralized approach to managing digital labor with its Agent System of Record, aligning human and AI workflows for enterprise clarity.
SAP partners with Databricks to unify structured and unstructured data for AI development, while the upcoming Sapphire event spotlights generative AI, the Joule interface, and ecosystem extensibility.
At SAP Sapphire, the company is expected to address five critical issues, including AI’s role in applications, data strategy, and hyperscaler trends, which will determine whether it can sustain its lead as the world’s fastest-growing enterprise software vendor.
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.
From AI in org charts to redeploying humans to developing products and services for top-line growth, top executives are evolving their businesses to capitalize on a range of AI-driven opportunities.
Analysis finds a decline in maturity when it comes to using and measuring AI’s impact, but provides clear indication of the traits, and approaches, that establish companies as AI leaders.
Google Chrome is transforming into an AI-enhanced enterprise platform with cutting-edge security and productivity features, explains Parisa Tabriz.
Under Arvind Krishna’s leadership, IBM has reinvented itself as a global tech powerhouse by doubling market cap, leading in AI and quantum computing, and committing $150 billion to U.S. innovation and manufacturing.
IBM, under CEO Arvind Krishna, has transformed from a struggling giant into a global tech powerhouse by streamlining operations, refocusing on hybrid cloud and AI, and committing $150 billion to U.S.-based R&D and advanced manufacturing, including mainframes and quantum computing.
Google Cloud’s Matt Renner outlines how AI, customer-centricity, and a thriving partner ecosystem are driving record growth and reshaping enterprise value delivery.
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.