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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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Improving business forecasting with synthetic data and simulation modeling
Synthetic data and simulation forecasting help executives overcome data constraints, test scenarios and strengthen strategic ...
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ThoughtSpot boosts agentic push with Analyst Studio update
A data prep agent and caching capabilities aimed at helping users control spending help the vendor stand out from its peers as it...
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5 pillars of an agentic AI strategy
Agentic AI is forcing CIOs to rethink IT strategy. Success depends on identifying key use cases, assessing data readiness, ...
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AI failure examples: What real-world breakdowns teach CIOs
The real risk of AI isn't experimentation—it's deployment. Leaders must address governance, data gaps and oversight before ...
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How to secure sensitive data when offboarding employees
Establish a multi-phased approach that turns a risky situation into a managed process with several departments working in ...
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Streaming specialist Redpanda adds governance to AI suite
New Agentic Data Plane features enable users to create a governance layer for agents and could help the vendor differentiate ...
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Big bang vs. phased ERP implementation: Which is best?
COOs, CFOs and others who work with ERP must ensure their company makes the right choice when selecting the big bang approach vs....
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Rollout timelines absorb unresolved integration work
Enterprise integration rollout challenges emerge across ERP, GenAI and HR systems, shaping outcomes earlier than expected and ...