SAP and Salesforce are shifting from an apps-first battle to a race for dominance in data clouds and agentic AI as the AI era transforms enterprise priorities.
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AI-driven outcomes will be faster and more effective through a unified Salesforce-Informatica stack.
Shortly after releasing A2A, Google is accelerating agent development and communications with updated functionality and support from leading software platform providers.
A new Workday report reveals that outdated federal HR systems are draining $1 billion in productivity annually, urging urgent modernization to improve efficiency and service delivery.
SAP’s growth strategy focuses on simplifying operations, deepening AI capabilities, and aligning with customer needs.
Microsoft’s latest announcements boost agentic AI adoption with Copilot Tuning, multi-agent orchestration, and new developer tools for accessible, enterprise-ready AI.
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.
SAP’s AI-driven flywheel strategy connects applications, data, and AI to power agile, end-to-end enterprise operations and future-ready innovation.
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.
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.
Snowflake expands its AI Data Cloud to help automotive companies manage data and drive digital innovation.
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.