New AI platforms are eliminating data silos by integrating multiple enterprise systems into unified, intelligent workflows.
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SAP plans a gradual move from SaaS subscriptions to AI usage-based pricing, signaling a structural change in enterprise software economics.
SAP makes moves to acquire Reltio, expanding customer access to AI-ready data from both SAP and non-SAP systems.
SAP takes another step toward being an AI-first, data-first company by acquiring Reltio, enhancing the Business Data Cloud and providing customers with access to quality data.
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.
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.
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.