Google Cloud and Baker Hughes have partnered to tackle the massive energy demands of AI data centers, combining industrial power expertise with advanced AI to improve efficiency, sustainability, and reliability in global digital infrastructure.
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Agentic AI is transforming ERP implementations by automating design, testing, and support, reducing costs and accelerating delivery timelines significantly.
New AI-powered applications enable users to instruct systems with goals instead of processes, dramatically changing enterprise workflows and decision-making.
Steve Miranda outlines Oracle’s vision for agentic applications that don’t just assist — but actively drive business outcomes across sales, supply chain, and workforce operations.
By leveraging AI, Oracle aims to shift healthcare from disconnected systems to a fully integrated ecosystem connecting providers, payers, and patients with improved efficiency and coordination.
In their highlights from AI Agent and Copilot Summit, Kenny Mullican and WIll Hawkins explain the value of support for third-party tools, note the need for greater interoperability in the Microsoft stack.
Multi-cloud databases are enabling faster AI adoption by bringing enterprise data closer to cloud-native tools and services.
Larry Ellison steps back on earnings calls as Mike Sicilia and Clay Magouyrk take the lead, signaling a deliberate and confident leadership transition at Oracle.
Oracle’s leadership transition signals a new chapter, with Larry Ellison focusing on technology vision while the new CEOs take the lead.
Massive Google Cloud customer use cases and the emergence of patient agency supported by AI are early highlights of HIMSS 2026, according to healthcare tech exec Paul Swider.
A high-energy final day at the AI Agent & Copilot Summit explores reskilling, prompt engineering frameworks, and the shift from AI experimentation to real-world execution.
More than 650,000 ERP actions can be executed automatically by agents as a result of Microsoft’s expanding portfolio of MCP servers for Dynamics 365.
The conversation explores how orchestration—both technical and human—is becoming a critical capability, with organizations increasingly treating AI agents as part of the workforce that must be coordinated and managed effectively.
OpenAI aims to scale revenue from $5B to potentially $280B by 2030, but a reported $800B cut in infrastructure spending raises questions about how compute-driven growth can sustain such aggressive enterprise expansion.
Dona Sarkar calls out the “tech bro”-driven AI hype machine and shares a blueprint to push AI into mainstream use cases that will deliver on the tech’s considerable promise.
OpenAI’s ambitious 2030 revenue forecast collides with contradictory spending cuts, prompting concerns about strategy, execution, and credibility among enterprise customers and key infrastructure partners.
WorkIQ-powered Copilot Cowork orchestrates complex tasks to the point it could take over one-fifth of any team’s work in the near term, while hastening the end of app-powered work.
The Cloud Wars Growth Chart shows extraordinary expansion across leading vendors as AI services drive demand. Palantir’s 70% growth leads the pack, while Google Cloud and Oracle also post dramatic gains.
Microsoft data scientists share how AI is transforming cyber defense by enabling intelligent assistants that analyze attacks, suggest detection rules, and help organizations stay ahead of increasingly sophisticated AI-enabled attackers.
Explosive enterprise demand for AI and cloud services is driving a resurgence of hypergrowth across the Cloud Wars Top 10, led by Palantir, Google Cloud, and Oracle.