BigML
bigml.ioBigML is a machine learning platform built to help teams create ML models from their real data and run batch predictions at scale. It supports using external data sources, generating models quickly, and launching repeatable prediction jobs—paired with visibility into when new models are created and when new predictions complete. BigML is trusted by data-driven teams that want reliable production-style ML workflows without slowing down analytics.
Connecting BigML enables BOBs to take real data inputs, set up ML models, and launch batch prediction runs as an autonomous “insight engine.” Instead of waiting for manual model setup or running predictions by hand, BOBs can create models and prediction jobs on a cadence, ensuring your outputs stay consistent as your data sources change.
BOBs can also respond to outcomes: when a new model is created or a new prediction is produced, they can automatically trigger downstream actions like updating dashboards, notifying stakeholders, or pushing predicted results into connected systems (e.g., reporting tools, databases, or operational workflows). This unlocks use cases such as automated risk scoring, churn/contact propensity batch runs, anomaly detection outputs distribution, and recurring analytics refreshes that stay monitored and accountable.
What can BOBs do with BigML?
Perform actions
- Create Batch Prediction
- Create Model
- Create Source (Remote URL)
Listen to real-time events
- New Model Created
- New Prediction Made