Oracle’s Kim Lynch outlines how the company is accelerating government transformation through AI, cloud, and defense innovations while ensuring security, flexibility, and rapid technology adoption.
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Vendor-agnostic AI agent orchestration platform gains AWS-centric functionality and consulting firm indicates similar integrations wll be offered for other hyperscalers.
Strong customer demand and record backlog numbers make SAP a top cloud performer, projecting continued double-digit growth.
Latest wave of AI-powered security features bring Copilot functionality directly into Intune and Entra, while new tools and agents optimize access and capacity controls.
Oracle reignites the Cloud Wars with bold claims on unmatched AI deployment flexibility, prompting rivals to redefine what cloud leadership really means.
By tapping the Model Context Protocol, Microsoft ensures a wide range of AI tools can access corporate assets stored in its Dataverse platform, while furthering the industry’s aggressive adoption of MCP.
Google Cloud is turning bold imagination into real-world impact — cutting costs, saving decades of work, and redefining customer experience across the UK.
ISVs enhance Dynamics 365 ERP with AI, automation, and faster implementation to drive efficiency and reduce risk.
With the latest wave of Copilot features, Microsoft enhances AI functionality for Outlook, mobile users, and Mac installed base.
Oracle and AWS are turning rivalry into results with Oracle Database@AWS now generally available.
IBM unveils an industry-first governance suite for agentic AI, signaling a major pivot toward enterprise AI security.
Major health system shows the importance of planning for governance in the earliest days of deploying AI tech, as well as building a stable of tech vendors and platforms to enable innovation.
Duke Health chief data scientists details core components of governance, as well as work with Avanade, Microsoft, and other vendors to derive maximum advantage from AI technology.
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.
Cycle time, accuracy, cost per successful task completion, and end-user satisfaction are vital metrics that will give visibility into the success of AI projects.
Ajay Patel of IBM outlines how enterprises are shifting from AI experimentation to real-world application, especially in sales, R&D, and operations.
Rob Ashe, Blaine Grzegorek, and John Siefert explore how ISVs provide industry-specific ERP solutions, reduce internal development costs, and enhance scalability.
AI agents present opportunities to break down data silos, forecast health events, and develop personalized treatment plans. Such use cases benefit patients, providers, and the entire healthcare ecosystem.
A wide range of functions in Copilot Control System and related products give admins as well as business leaders strong controls over Copilots, agents, and data.
Microsoft and Gong are integrating AI-driven sales intelligence into Microsoft 365 and Dynamics, enabling sellers to automate workflows, access deep conversation insights, and drive faster, data-informed decisions using Copilot and custom agents.