Shortly after releasing A2A, Google is accelerating agent development and communications with updated functionality and support from leading software platform providers.
Search Results: ML (2845)
The Stargate UAE project reveals how AI infrastructure is becoming a key battleground for influence between nations and tech giants.
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.
Workday leaders Shane Luke and Ali Fuller discuss navigating GenAI in the enterprise, highlighting their Agent System of Record and a pragmatic three-phase customer adoption framework.
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.
SAP’s AI-driven flywheel strategy connects applications, data, and AI to power agile, end-to-end enterprise operations and future-ready innovation.
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.
GenAI technologies are expanding from clinical settings to improve manufacturing and operational efficiency in healthcare.
SAP’s Jan Gilg highlights the shift to modular cloud apps and unified data to drive automation, insights, and business growth.
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.
With momentum on its side, SAP now faces the harder task: proving at Sapphire that it can turn innovation into lasting leadership.
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 rejects the agentic AI hype, instead emphasizing practical business outcomes with its expanding AI portfolio aimed at delivering measurable impact across functions.
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.
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.