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Future-forward enterprise edge AI

From pilots to deployment: Deloitte's enterprise AI PC journey

Discover how our enterprise AI PC strategy powered by Intel transformed on-device intelligence from concept to reality and delivered measurable security, performance and cost advantages.

Deloitte's journey to secure, edge-based AI

Enterprise AI is quickly becoming a hardware story as much as a software one. As cloud-based AI scales, organizations continue to face real constraints—cost, latency and data security—that can limit performance and adoption.

Together with Intel and other leading technology organizations, Deloitte is accelerating a new enterprise architecture that securely brings AI to practitioners’ devices. AI PCs equipped with neural processing units (NPUs) alongside traditional central processing units (CPUs) and graphics processing units (GPUs) unlock a new edge capability: running sophisticated AI models locally and securely, even when cloud access is limited.

As AI PCs expand across price and performance tiers, we expect NPUs to become standard in new enterprise fleets, accelerating on-device intelligence.

Download the document to learn:

  • Why it matters now: The converging forces making cloud-only AI unsustainable 
  • What we learned: From first pilot to 18 months of enterprise-scale deployment  
  • How it works: The technical architecture behind enterprise edge AI 
  • What it unlocks: Measurable improvements in cost, security and performance 
  • Where to start: Seven practical lessons to accelerate your AI PC enterprise rollout

AI PCs are entering the mainstream, making enterprise-wide deployment feasible and unlocking potential value for organizations committed to digital transformation.

Shakir Rizvi, Senior Leader, AI & Digital Transformation – Deloitte Consulting LLP

 

 

 

Future-forward enterprise AI: Deloitte’s journey to on-device intelligence

From pilot to enterprise-wide adoption, see how Deloitte’s collaboration with leading tech organizations is helping organizations overcome cloud limitations, boost performance, and prepare for the future of on-device AI. 

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