data directly on local devices rather than sending it to remote cloud servers.
This approach can help keep sensitive raw information off of a broader network, eliminating large-scale data vulnerabilities.
Vinesh says:“ The key is keeping personal data closer to the user while still enabling intelligent experiences.
“ On-device AI allows systems to learn about user behaviour without sending sensitive data to the cloud.
“ This way, you’ re able to create personalised experiences and a very close digital twin that can continue to learn from you and mimic you.” A clear example is Raxa Health, supported through Qualcomm for Good, which uses on-device and hybrid AI to securely manage patient data and deliver real-time clinical support, even in low-connectivity settings.
The future of agentic AI For Qualcomm Technologies, the focus for the future of AI on growth and development:“ The next 12 to 18 months is all about scaling AI across every device category,” says Vinesh.“ We’ re expanding into data centre
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