Reusing machine learning features at scale, resulting in faster model building and deployment.
Expected business impact
Features to mitigate business challenges
The team has created an automated framework for a leading M&E organization using Google Cloud Vertex AI, ultimately speeding up the process of model delivery.
It helped the Data Scientists to configure Data Sources, ML tools, and ML models and helped configure the hyperparameters of the ML model.
Once the data scientist has chosen the appropriate model, the framework makes it easy for deployment and maintenance in production.