SAP leaders argue that agentic AI will enhance — rather than replace — enterprise applications by integrating seamlessly with data and AI capabilities.
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With momentum on its side, SAP now faces the harder task: proving at Sapphire that it can turn innovation into lasting leadership.
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.
Microsoft outlines its vision for building AI-first companies by integrating agentic AI, Copilot, and human collaboration across its business applications suite.
ServiceNow CEO taps into similar perspective as Microsoft CEO on the impact that AI agents will have on enterprise apps.
At ServiceNow Knowledge 25, CEO Bill McDermott commented on the era of agentic AI and how the applications business will be impacted.
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.
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.
ServiceNow CEO Bill McDermott warns of outdated software, urging leaders to embrace agentic AI and transformative platforms to survive and thrive.
At Knowledge25, ServiceNow introduced new tools to connect, govern, and scale AI agents across any cloud, workflow, or data environment.
With cloud revenue rivaling AWS and Google Cloud combined, Microsoft silences talk of an AI slowdown.
Microsoft’s blowout Q3 results and $315B in future cloud business crush AI slowdown fears and expose the absurdity of recent data center panic.
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.
Salesforce’s latest research outlines four key consumer personas shaping the future of agentic AI adoption.
Despite media hype, hyperscalers like AWS, Google Cloud, Oracle, and Microsoft are massively investing in AI and cloud infrastructure, not scaling back.
Data from security firm Harmonic finds the typical organization has hundreds of AI apps in use, many of them unmanaged, while a majority of firms lack adequate governance strategies.
Microsoft moves forward with the rollout of its GenAI-powered screen capture tool, Recall, addressing security issues ahead of general availability.