Global IoT DevFest III

Building Real-Time AI for Critical Solutions at the Edge


For most people, the cloud represents the backbone of IoT. However, many are starting to understand that the cloud is only one element in the IoT universe. It makes good sense for some portion of computing to be done locally, in real time, and not be pushed to the cloud, whether for security, latency or cost concerns.

This session focuses on the sound reasons for deploying AI at the Edge and its competitive advantages for safety, security and data protection. You learn how edge computing is not a replacement for cloud, but rather a complementary strategy for key business areas where using a cloud-only approach simply won’t cut it.

The training also provides real-world use cases from our experience in developing real-time AI for edge devices.


Tags: ML Real-time

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