Oracle Fusion Claw combines AI reasoning, deterministic computing, and enterprise governance to execute complex business processes with increasing autonomy.
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AI demand is propelling the Cloud Wars Top 10 to extraordinary growth, led by Palantir at 93%, Google Cloud at 82%, and Oracle at 62%, with all three companies also demonstrating sustained quarterly growth acceleration.
Palantir leads the Cloud Wars Top 10 with 93% growth as Google Cloud, Oracle, and AWS surge and AI platforms drive extraordinary enterprise demand.
AI leaders are accelerating their push into vertical industries through customer-designed products, deeper data integration, and industry-specific skills.
Experts including forward-deployed engineers (FDEs) are deemed key factor in accelerating outcomes, reducing risk, and ensuring operational impact of AI.
Extended, powerful partnerships will prove to be just as important as the expanding AIforce, as Salesforce challenges the traditional mindset with its approach to the future of tech.
CEO Marc Benioff explained in his Dreamforce keynote how Salesforce unlocks value for customers beyond its AIforce through extended partnerships.
Oracle has become the second-fastest growing hyperscaler, with Q1 revenue and growth rates making a major jump.
Oracle’s Q1 cloud revenue and OCI growth rate have jumped this quarter. How can its business model innovation propel the company to rise even higher?
Despite questions about Oracle’s ability to fund massive AI infrastructure investments, its booming cloud revenue, extraordinary backlog, and accelerating growth guidance suggest customers are making huge long-term commitments to Oracle’s AI and cloud platforms.
Google Cloud CEO Thomas Kurian says general-purpose AI alone cannot meet complex industry requirements, prompting the company to surround Gemini Enterprise with specialized skills, trusted data connections, agentic workflows, governance, and partner solutions.
Google Cloud is taking Gemini Enterprise deep into vertical industries, beginning with financial services and legal and combining skills, data, agents, and partners into one AI system.
New tools aimed at enforcing cost discipline include an AI pricing calculator, detection of spending anomalies, and spending caps for individual AI projects.
Law firms that collaborated in platform design highlight industry AI opportunities to eliminate manual work and drive innovation for better client service.
On the strength of customer design partnerships and an expansive ecosystem, Google Cloud delivers AI platforms that could unlock AI innovation in support of vertical use cases.
Google Cloud and Mahindra are bringing Gemini Enterprise directly into vehicles, demonstrating how AI is moving beyond traditional digital environments and becoming embedded in physical-world endpoints.
Google Cloud’s Gemini models are coming to Oracle applications, including Oracle AI Agent Studio for Fusion Applications, giving customers more flexibility to select models while turning AI reasoning into governed workflows, approvals, transactions, and business actions.
Google Cloud and Oracle are emerging as an AI power pair, combining Gemini, Fusion applications, and Oracle AI Database to help customers accelerate enterprise AI transformation.
Google Cloud’s infrastructure strategy gives frontier AI lab Mirendil the flexibility and scale needed to speed up the AI research loop.
Google Cloud’s Q2 revenue reached $24.8 billion, up $4.8 billion sequentially. Microsoft Cloud also added $4.8 billion, while AWS added $4.6 billion, suggesting remarkably close competition for incremental customer spending among the three hyperscalers.