Google Cloud is turning bold imagination into real-world impact — cutting costs, saving decades of work, and redefining customer experience across the UK.
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Oracle and AWS are turning rivalry into results with Oracle Database@AWS now generally available.
Leading cloud and AI providers are partnering with enterprise customers to develop a comprehensive framework designed to secure AI systems and agents, advancing the industry’s ongoing push for stronger safeguards.
Ajay Patel of IBM outlines how enterprises are shifting from AI experimentation to real-world application, especially in sales, R&D, and operations.
With CEOs leading the charge, AI is redefining how businesses function across all sectors, and Oracle’s market surge is just the beginning of a seismic economic shift.
Why Oracle Chairman Larry Ellison is betting big on leading cloud databases, applications, and infrastructure — and why history suggests you shouldn’t bet against him.
Research from Andreessen Horowitz captures the top trends in GenAI usage among enterprise firms; several findings indicate increasing maturation of the technology and enterprise AI practices.
Microsoft demos specific Purview functions that customers can tap into in AI use cases so they are protecting critical corporate data assets from both malicious external actors and insider threats.
Once doubted, Oracle’s cloud strategy pays off big as it reports a 41% RPO surge and forecasts FY26 cloud growth over 40%, led by relentless AI infrastructure demand.
Cognizant differentiates itself by combining industry experience with AI-led ServiceNow solutions.
From multi-agent interactions to supply chain vulnerabilities, AI agents introduce a number of potential security risks. A new resource lays out the risks and steps to prevent them, while leaning on red teaming practices.
Community resource documents security vulnerabilities in the Model Context Protocol (MCP) while detailing ways to lock down the AI agent interoperability specification.
Sam Altman and Larry Ellison, joined by Softbank’s Masayoshi Son, are upending the AI industry with Project Stargate.
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.
Workday introduces a centralized approach to managing digital labor with its Agent System of Record, aligning human and AI workflows for enterprise clarity.
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.
ServiceNow CEO taps into similar perspective as Microsoft CEO on the impact that AI agents will have on enterprise apps.
ServiceNow CEO Bill McDermott warns of outdated software, urging leaders to embrace agentic AI and transformative platforms to survive and thrive.