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AI-Powered Devices: The Fourth Wave of Enterprise Computing
Enterprise computing enters its fourth wave as client devices transform from passive endpoints to intelligent AI systems. Modern laptops, desktops, and mobile devices now feature built-in NPUs and AI accelerators that bring artificial intelligence directly to where work happens. This shift creates distributed intelligence networks where every device anticipates user needs, optimizes workflows, and collaborates autonomously. Organizations gain enterprise AI at scale, transforming employees into human AI agents with unprecedented access to contextual, personalized computing experiences. The future of work is here—powered by intelligent devices that don't just access AI, but embody it.
Artificial Intelligence
Riding the Wave to Enterprise AI at Scale: The Transformation of Client SolutionsRead More
The “Personal Touch” of AI is Undeniable, Thanks for Impressive Advances in Client SolutionsRead More
The Deepening Impact of “AI Everywhere” is Revolutionizing Client SolutionsRead More
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Big data analytics and business intelligence: A comparison
BI and big data analytics support different types of analytics applications. Using them in complementary ways enables a ...
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Sisense targets embedding AI with latest new features
Tools such as an MCP server and a natural language assistant demonstrate the vendor's evolution toward artificial intelligence as...
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Agentic AI speeds curriculum drafting at General Assembly
Education and training company General Assembly built an agentic AI system to scale curriculum development. The tool cut ...
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Top challenges and priorities for CIOs in 2026
CIO priorities for 2026 are changing rapidly. These expert-led articles reveal what's reshaping enterprise IT and the critical ...
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ScyllaDB X Cloud update addresses database cost, performance
Features such as autoscaling and advanced compression are designed to help customers reduce spending on their data management, ...
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MongoDB launches latest Voyage models to aid AI development
With many enterprises struggling to build advanced applications, new embedding and reranking models improve data retrieval to ...
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The gap between AI execution and enterprise accountability
AI is accelerating execution across enterprise workflows, from retail to customer service to core financial systems. Ownership ...
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6 examples of RFID supply chain use cases
Explore real-world RFID supply chain examples and how visibility into assets, inventory and goods supports better planning and ...