Google Cloud, OpenAI, and Anthropic are investing heavily in deployment capabilities, ecosystems, and forward-deployed engineers to help customers achieve measurable business outcomes and accelerate enterprise AI adoption beyond model selection.
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The race to transform enterprises through AI is creating unprecedented demands for deployment expertise, customer success, and organizational change management.
IBM and Google Cloud have launched a new Google Cloud Practice designed to help organizations accelerate AI deployments by combining IBM Consulting expertise with Google Cloud’s Gemini Enterprise Agent Platform, cybersecurity capabilities, and advanced data technologies.
As AI spending surges, AWS argues that companies cannot ignore technical debt, which continues consuming substantial IT resources that could otherwise fuel innovation.
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.
Google Cloud’s agreement with EQT could accelerate AI adoption faster than conventional sales strategies by reaching hundreds of companies through a single partnership.
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.
Christopher Lochhead explains why AI is commoditizing knowledge and execution, making creativity and differentiation the most valuable assets in business.
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.
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.
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.
The combination of 47% cloud revenue growth and 363% RPO growth suggests Oracle’s AI investments are translating into both current revenue gains and unprecedented future demand.
Oracle delivers a blockbuster Q4 with cloud revenue up 47%, OCI soaring 93%, and a staggering $138 billion increase in RPO, signaling unprecedented demand for AI infrastructure and cloud services.
Oracle and Google Cloud are challenging conventional wisdom by using outside funding to support massive AI infrastructure investments driven by unprecedented customer demand.
ServiceNow CEO Bill McDermott says the company is now AI-native and targeting five high-growth markets worth more than $600 billion, backed by strong momentum in AI, security, CRM, employee experience, and data management.
ServiceNow is betting its future on being AI-native, with Bill McDermott outlining five hyper-growth markets that could drive long-term expansion and strengthen its leadership position.
Christopher Lochhead explains how AI is making knowledge and execution increasingly free, shifting competitive advantage to agent-driven systems.