Miller Chang, President of EIoT at Advantech, explains: “In the vast and fragmented IoT landscape, efficiently deploying AI applications is a challenge. Advantech and Qualcomm Technologies are working together to meet market demands and overcome perceived limitations.” Advantech, in collaboration with Qualcomm Technologies, will strive to provide Edge AI platforms to navigate industry fragmentation, ensuring interoperability. Together, we aim to redefine the possibilities of AI at the edge, shaping the future of edge intelligence.
"The collaboration between Advantech and Qualcomm Technologies marks a significant milestone in the evolution of edge computing. By combining Advantech's expertise in industrial computing with our cutting-edge technology, we are poised to reshape the future of embedded systems. This collaboration will unlock new possibilities for AIoT applications, enabling seamless integration of AI-powered solutions at the edge. We are excited to be part of this journey and look forward to the transformative impact it will have across various industries." - Jeff Torrance, Senior Vice President and General Manager of Industrial and Embedded IoT, Qualcomm Technologies, Inc.
Qualcomm Technologies is leading the industry transformation at the edge. Leveraging its product longevity program for select SoCs, and advancing AI technology and connectivity systems, Qualcomm Technologies anticipates benefits in industrial automation, transportation, medicine, and rapidly evolving sectors such as robotics and energy.
The collaboration between Qualcomm and Advantech strengthens both companies' technical expertise and commitment to innovation. Advantech aims to develop an advanced suite of Edge AI platforms and a dedicated Edge AI SDK for Edge AI applications. These standardized and diverse platforms will power future tasks that increasingly rely on intelligent, performance-intensive technology.
Through this collaboration, Advantech is prepared to integrate Qualcomm Technologies solutions across its entire range of platforms, including AI-on-Modules, AI Function Boards, and AI Edge Systems.
