In this post, you will learn how Aigen modernized its machine learning (ML) pipeline with Amazon SageMaker AI to overcome industry-wide agricultural robotics challenges and scale sustainable farming.
AI Summary
Aigen, a company specializing in agricultural robotics, transformed its operation with Amazon SageMaker AI to develop sustainable farming solutions. They replaced their on-premises infrastructure, which bottlenecked their model-building pipeline, by adopting AWS AI-driven and cloud-native approach. This led to significant improvements in image labeling throughput and costs, achieving 20x faster labeling and 22.5x cost reduction. Aigen's cloud-based pipeline overcame connectivity issues, high labeling costs, and limited computational power challenges by using automated data pipelines and leveraging cloud-native machine learning capabilities. Their solution utilizes edge computing, a data annotation process that combines automated and human validation, and cloud-based training and inference processes.