Microsoft is testing new AI-powered workplace devices under Project Solara, aiming to create agent-first experiences that move AI interactions beyond traditional PCs and applications.
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Google Cloud and Palantir are expanding their partnership to help businesses combine AI, data, and analytics for faster decision-making and stronger industry-specific outcomes.
The Hyperscaler Backlog Sweepstakes defines the top AI factories, ranking Google Cloud, Oracle, Microsoft, and AWS in the top four.
Pinterest has signed a $4 billion infrastructure agreement with AWS through 2031, marking the largest technology commitment in its history. The partnership will support AI innovation, improve discovery experiences, and provide scalable infrastructure for hundreds of millions of users.
Open Knowledge Format, or OKF, aims to become the MCP of representing knowledge and context so it can be consumed easily by AI agents without a translation layer.
Google Cloud’s agreement with EQT could accelerate AI adoption faster than conventional sales strategies by reaching hundreds of companies through a single partnership.
OpenAI has launched a global partner network backed by a $150 million fund, signaling a major commitment to enterprise AI adoption through ecosystem-driven customer transformation, workflow redesign, systems integration, and change management.
At Workday DevCon in Las Vegas, Workday introduced major developer platform innovations, including Developer Agent and an agent-ready version of Workday Build, designed to accelerate AI-powered application development while maintaining enterprise-grade security and governance.
OpenAI is accelerating its enterprise AI ambitions with a new partner network, deployment company, and plans to certify 300,000 consultants by year-end.
ServiceNow and Accenture have launched a forward deployed engineering program that embeds AI experts directly with customers to accelerate the deployment, scaling, and business impact of agentic AI initiatives.
DynaTech Systems enabled Solmax to modernize finance and supply chain operations while delivering real-time reporting and greater operational efficiency.
For 40 years, Larry Ellison used Oracle earnings calls to forecast industry trends, challenge competitors, and champion innovation. His apparent withdrawal from that platform marks the end of one of technology’s most influential public forums.
Latest release of agent-building platform bolsters orchestration in complex workflows, simplifies integration by tapping Model Context Protocol (MCP).
Larry Ellison’s decision to step away from earnings calls demonstrates confidence in Oracle’s operational leadership and long-term direction.
A 363% surge in Oracle’s RPO demonstrates extraordinary customer demand and positions the company as one of the fastest-growing forces in enterprise AI and cloud computing.
James Oleinik explains how enterprises can scale AI by combining centralized governance with business-led innovation and operational flexibility.
While Microsoft dominates current cloud revenue, Oracle’s rapidly expanding RPO points to a dramatically different competitive landscape ahead.
James Oleinik explains how Microsoft Entra and Purview provide identity, observability, and centralized governance for managing enterprise AI agents at scale.
Enterprise AI is entering a new phase where trust, governance, and measurable outcomes matter more than experimentation.
SAP is betting that its new Autonomous Suite will help customers transition from traditional ERP systems to AI-powered enterprises built on trust, automation, and business outcomes.









