Description
Machine learning based workflows for heavy asset equipment monitoring are becoming more prevalent. We will present example workflows typical in these industries developed using Python. We will then compare options for 3rd party developers like ourselves in deploying those workflows as web hosted APIs using frameworks provided by the major cloud service providers, namely GCP, Azure and AWS.