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.
Agentic AI is transforming ERP implementations by automating design, testing, and support, reducing costs and accelerating delivery timelines significantly.
Whether you are reassessing an existing AP solution or planning the next phase of your Dynamics 365 roadmap, this guide is intended to provide context and clarity grounded in real-world experience.
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.
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.
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.
Agentforce Contact Center represents Salesforce’s next evolution in customer service, merging voice, digital channels, and AI into one system. It empowers autonomous AI agents while ensuring human operators receive full interaction context for faster issue resolution.
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.
Oracle and Microsoft’s once-unthinkable partnership has become a mainstream “multi-cloud miracle,” unlocking faster innovation, improved security, and simpler architectures while reshaping how competitors collaborate for customer success.
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.
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.
Google Cloud and CVS Health launch Health 100, an AI-driven platform unifying patient data and enabling agentic healthcare workflows, signaling a major shift toward personalized, interoperable healthcare ecosystems.
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.