QUALCOMM
“ Keeping sensitive data on-device – like a hospital local server for instance – reduces exposure, helps meet compliance requirements and gives organisations more control on how data is used and retained. This is reflected in applications like Whispp, supported through Qualcomm for Good, our initiative to expand access to transformative technologies, which uses on-device AI to reconstruct natural speech from whispered or impaired input in real time, preserving both privacy and personalisation.”
AI agents working independently The rise of agent APIs AI agents could become the connective layer between AI models, applications and digital services.“ We are moving from assistants that respond to prompts to systems that execute workflows, such as booking travel for consumers, managing operations or coordinating enterprise tools,” Vinesh adds.
“ This requires standardised ways for models to access tools, context and services and APIs as a foundation for interoperability.
“ AI agents have the potential to act as an orchestration layer across AI systems instead of isolated models, agent-based environments. They can also coordinate and complete tasks across various applications, form factors and devices.
“ Using interface APIs, MCP protocols and different skills – that’ s how you turn raw intelligence into something which is useful and repeatable.”
10 qualcomm. com