Overview
Smart Manufacturing: Seagate's Global Deployment of Defect Detection System with MLOps Automationcnvrg.io |
Analytics & Modeling - Machine Learning Infrastructure as a Service (IaaS) - Hybrid Cloud | |
Cement Education | |
Facility Management Product Research & Development | |
Construction Management Infrastructure Inspection | |
Cloud Planning, Design & Implementation Services Training | |
Operational Impact
Using cnvrg.io, Seagate was able to transform their legacy AI workflow into a scalable modern automated pipeline. This transformation allowed them to address more business use cases and improved the efficiency of their data scientists. The automated pipeline maintains optimized performance and delivers the ability to release and manage models in production using TensorFlow endpoints and Kafka endpoints seamlessly. Seagate can now run and manage hundreds of experiments in parallel on optimized compute, and support model serving with canary rollout to deliver peak performing models. The collaboration with cnvrg.io also enabled Seagate to achieve a successful scalable AI deployment across global facilities, improved collaboration globally across advanced analytics, engineering and IT teams, and decreased IT technical debt with MLOps capabilities. | |
Quantitative Benefit
Improved ROI by 300% | |
Accelerated ML pipeline by 50% | |
Increased data scientists efficiency by up to 50% | |