On-Device AI
Transform AI experiences with greater speed and privacy
Deloitte's On-Device AI services help companies bring AI processing and capabilities to end-user devices to power transformative experiences. Learn how we architect and engineer processes and technology to enable a future of hybrid AI in which AI workloads are appropriately distributed across devices and the cloud.
Why On-Device AI is a strategic solution for the next generation of AI applications
The advent of more efficient Small Language Models (SLMs) is enabling swift and efficient on-device data processing. Hybrid AI architectures that distribute AI workloads between the cloud and end-user devices can be more effective, offering enhanced privacy, reduced costs, and lower latency.
Enhanced privacy and security
On-device AI allows for sensitive data to remain on the device, reducing the necessity for data transmission to the cloud and thus minimizing the risk of data breaches.
Personalization and real-time adaptation
Local models can learn and adapt in real time, providing personalized and context-aware services to users.
Cost efficiency
On-device AI can significantly reduce cloud costs and optimize resource allocation by offloading select AI workloads to end-user devices.
Reduced latency
By enabling local processing of AI and data in real time, running AI locally improves user experience and reduces risk for applications sensitive to latency and responsiveness.
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How we're already creating value with our clients
Deloitte's On-Device AI services
Deloitte's AI highlights
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