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.
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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.
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.
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.
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.
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.
Day 2 of the AI Agent & Copilot Summit included a variety of session formats designed to demonstrate real-world applications of agentic AI.
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.
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.
At AI Agent & Copilot Summit 2026 in Torrey Pines, Christopher Lochhead argues that as AI makes knowledge and execution free, the future belongs to creators who differentiate and build entirely new categories of work.