Qualcomm
On-Device Artificial Intelligence Opportunities for Enterprises
Pages
16
Time to read
33 mins
Publication
Language
English
Pages
16
Time to read
33 mins
Publication
Language
English
This white paper assesses the on-device artificial intelligence (AI) opportunity for enterprises and consumers, focusing on the shift from cloud-centric AI models to on-device capabilities. It outlines how on-device AI can address significant commercial and technical challenges, such as data privacy and network latency, while enabling a variety of generative AI applications tailored to user needs. The document discusses the potential of hybrid AI systems that combine cloud and device processing to optimize resource usage and application performance. Key trends supporting the on-device AI market are explored, including the role of Neural Processing Units (NPUs) and the collaboration among chip vendors and software developers to create productivity-focused applications. The paper emphasizes the necessity of developing strong ROI-driven business cases to encourage the adoption of new devices equipped with on-device generative AI. It also highlights the challenges posed by software immaturity and the need for optimized AI models to ensure commercial success.