Deploying Edge AI Solutions at Scale for the Internet of Things

There are many large-scale opportunities for edge AI solutions across a broad range of Internet of Things applications. But deploying the kinds of complete solutions that customers desire—at scale—is challenging. Fragmentation in the IoT space means that there is huge diversity in application requirements. Customers are looking for services that can enable deployment of end-to-end services. Developers need platforms that help streamline the deployment process and make full use of on-device edge AI complemented by cloud services. In this session, we will examine the critical gaps in achieving seamless edge AI deployment for IoT and learn how Qualcomm Technologies, Inc. is addressing diverse needs across IoT segments by applying a scalable IoT-as-a-service model that helps put intelligence in solutions for applications from home robotics to retail to construction to smart factories and cities.