ML for Understanding Satellite Imagery at Scale with Kyle Story - TWiML Talk #173

This article from Practical AI discusses a conversation with Kyle Story, a computer vision engineer at Descartes Labs. The focus is on Story's work in applying machine learning to understand satellite imagery at scale. The interview likely covers the challenges of scaling computer vision models for this purpose, the specific problems Descartes Labs is tackling, and the techniques they are employing. The title suggests a technical discussion, potentially delving into specific algorithms, datasets, and infrastructure considerations. The context of the Google Cloud Next Conference indicates a focus on cloud-based solutions and large-scale data processing.