Edge AI – Automation of the Partitioning of AI Algorithms between Edge Device and Cloud

AI-based systems are increasingly being used in companies, for example for process control. For the execution of AI algorithms, these systems require high computing power, which can currently only be provided by cloud solutions.

With increasing real-time requirements and data loads for the intelligent systems, data processing in the cloud has significant disadvantages. Edge AI approaches, in which data processing is divided into local preprocessing on the edge device and postprocessing in the cloud, promise a solution. However, the division of AI algorithms is not yet supported by software. In this webinar, our experts present a design process that can significantly accelerate and automate the partitioning of AI algorithms between the edge device and the cloud.

Webinar language: English