Showcase the impact of AI and ML on the development of IoT as a technology. As processing power increases, so does computing and data center resources. Topics can include AI at the edge, microcontrollers, computer processing, constrained devices, and tiny ML.

Edge computing transforms the way we perceive data, and how we define "the edge" has drastically changed in the past five years. This track will look at new opportunities for edge in the embedded community. Topics can include computing power, leveraging dynamic processing, and capacity management.

Building an embedded device into IoT requires connectivity. We will dive into the large variety of new connectivity options and communications for the industry including 5G, LoRa, LPWAN, Private LTE, and WiFi.

It has never been so important to create secure, safe, and dependable devices which is why this track will focus on how to build reliable systems that are impossible to hack or attack. Topics can include life cycle management of a device to ensure it remains secure in the long term, and how to handle the gap between safety critical analysis and certification.

The Embedded ecosystem is undergoing a huge shift in open source and low code/no code developments with RISC-V providing an exciting open source alternative. This track will focus on the change in processor power and what this means for the industry going forward.

There can be no Industrial IoT without the embedded systems and sensors needed to create a smart environment. Whether focused on automotive and devices inside the car, manufacturing and the processing power needed in a smart factory, or sensors needed on the smart grid, proposed content should cover the technical IIoT and its impact.