Rural and Remote IoT Applications in Agriculture

Level: 100

Companies are solving some of the worlds most challenging problems in food production with AI/ML practices, but moving the data from the edge to the cloud can still be a challenge in rural and remote areas. For companies facing these challenges the key design considerations are latency, speed to decision, and model re-training. In this tech talk, we will focus on end to end capabilities in AWS IoT and connectivity patterns based on common customer use cases, sharing key wins and creative forward leaning applications in both commodity production and livestock health.