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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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Why ethical use of data is so important to enterprises
Enterprises that don't use data ethically have a lot to lose. To maintain their businesses' trustworthiness and value, executives...
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Domo adds App Catalyst to platform to aid AI development
By combining natural language code generation with enterprise-grade security and governance, the vendor aims to help customers ...
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Do Gen Z, millennials already have the skills CIOs need?
IT teams struggle with skills shortages, especially in AI. Millennials and Gen Z have inherent technical skills that can help, ...
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How AI-powered learning affects the IT skills gap
While AI helped create the current IT skills gap, AI-powered learning can also shrink it. The right tools can help IT leaders ...
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Snowflake launches new AI tools, unveils OpenAI partnership
New features such as an agent-powered code generator and automated semantic modeling simplify developing cutting-edge ...
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9 metadata management standards that guide success
Organizations looking to implement metadata management can choose from existing standards that support archiving, sciences, ...
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C-suite should make AI data management the 2026 ERP priority
Aligning data lakehouses with those of ERP vendors and data partners is important, but it won't be enough without silo-busting ...
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8 ERP security best practices for modern ERP environments
As supply chain attacks continue, ERP security requires strong authentication, regular patching, monitoring and incident response...