Machine learning pipeline

Spectricity builds state-of-the-art scanners and has ML pipelines in place to demonstrate the performance of their products. These pipelines need to be industrialized so they can be used in a distributed way, on a global scale.

 Solution: ML Pipeline industrialization

By deploying the ML Pipelines on GCP infrastructure, we convert local, small scale ML pipelines to robust, distributed pipelines that can be retrained, monitored and used on an industrial scale.

• Reusable transformations enable robust and future-proof pipelines.
• Serverless tooling remove the added stress and cost of managing hardware.
• Global availability of pipelines improve usability of deployed pipelines.

Google technology