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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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CISO's guide to RAG data security risks and protection strategies
Retrieval-augmented generation enhances AI security, but expands the attack surface. Organizations need to aggressively manage ...
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AI attacks lack stealth -- nation-state actors are changing that
Today's AI attacks are still hard to miss and easy to stop, but nation-state threat actors are quietly pioneering low-and-slow ...
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AWS emphasizing database security as AI powers new threats
While the tech giant has always focused intently on protecting proprietary data, its database security capabilities are taking on...
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Data contracts gain urgency as AI tests data foundations
Unreliable data can undercut AI efforts before they deliver meaningful returns. Data contracts help clarify accountability and ...
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Salesforce broadens headless offering for agentic AI access
Headless 360 kicks into high gear with MCP servers for Salesforce features, data repositories.
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Beyond visibility: Decision intelligence in the supply chain
In this podcast, project44's Jett McCandless says supply chain visibility requires an AI intelligence layer to help managers sift...
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How AI workloads affect enterprise network design
Distributed AI workloads reshape the architectures and strategies that enterprises traditionally relied on to plan network work ...
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Why multi-cloud should be your default deployment model
With a single-cloud strategy, organizations risk vendor lock-in, financial exposure and regulatory hurdles. A multi-cloud ...
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AI botsitting: Why your productivity gains aren't what they seem
AI promised productivity gains, but workers now spend hours correcting its errors with AI botsitting -- a hidden cost draining ...
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AI model incidents highlight security concerns
In this Q&A, Seth Johnson, CTO at Cyara, discusses how enterprises need to sharpen their security policies and infrastructure in ...