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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The surge in AI data center demand is collapsing industry lines, pushing tech companies into energy partnerships that could redefine power generation, infrastructure investment, and long-term innovation strategies.
New AI-powered applications enable users to instruct systems with goals instead of processes, dramatically changing enterprise workflows and decision-making.
A unified, end-to-end approach is replacing fragmented healthcare systems with connected data and intelligent workflows powered by modern infrastructure.
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.
Copilot Health transforms overwhelming health data into actionable insights by combining AI with physician oversight — pointing to a future of smarter, more secure healthcare.
Multi-cloud databases are enabling faster AI adoption by bringing enterprise data closer to cloud-native tools and services.
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.
Day two of the AI Agent & Copilot Summit highlights the shift to reasoning-driven copilots, practical agent strategies, and real-world AI adoption.
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.
Microsoft Copilot Studio’s new features focus on improving agent evaluation, enabling organizations to assess performance at scale, compare versions, and refine AI systems faster with better feedback loops and auditing capabilities.
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.
Microsoft is redefining enterprise productivity by positioning Copilot, agents, and unified AI platforms as the operational backbone of next-generation “frontier firms.”
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.
Rather than replacing SaaS, AI is becoming its most powerful accelerator. Oracle’s approach embeds agentic AI across Fusion applications, enabling faster deployments, reduced operational complexity, and dramatically improved customer outcomes.
Andrea Pinillos shares how Microsoft helps enterprise customers run strategic engagement events through internal tools and explains how similar practical solutions can help organizations deploy AI agents that connect to real business data.
Oracle posted explosive Q3 results fueled by unprecedented demand for AI infrastructure. The company’s cloud business grew rapidly, while its data-center expansion strategy and financing plans attracted strong investor support and reinforced confidence in its long-term AI strategy.