Optimises the model workflow
- Prepare supported modelling tasks
- Train and compare models
- Evaluate predictive performance
- Generate predictions and explanations
Decision Intelligence vs AutoML
AutoML gets you to a model. Decision Intelligence gets you to a decision.
Automated Machine Learning is a modelling capability. Decision Intelligence is the broader business workflow that connects models, evidence, constraints and actions to a measurable outcome.
Optimises the business decision workflow
- Frame the business outcome
- Use prediction and causal evidence
- Compare feasible interventions
- Deliver a recommendation into execution
How Graphite Note uses both
AutoML is part of the stack, not the end of the story.
Graphite Note uses automated modelling to reduce repetitive work in predictive use cases. When the business question requires an intervention, the workflow can extend into causal analysis, optimisation and a decision object.
This is why the same platform can support both a forecasting problem and a broader question such as which action should be taken in response to that forecast.
Graphite Note stack
AutoML + causal + optimisation + decision delivery
The right combination depends on the decision. Not every use case needs every layer.
Decision IntelligenceFrom signal and prediction to a governed business action.AutoMLAutomate repetitive model-building work without losing business context.Causal Machine LearningSeparate drivers from correlations and estimate intervention effects.Predictive AnalyticsForecast demand, score customers and anticipate business outcomes.Decision OptimisationCompare feasible actions and rank them by expected business impact.Decision APIDeliver recommendations, expected impact and evidence into workflows.Embedded Decision IntelligenceAdd a decision layer to ERP, CRM, BI, workflow and vertical software.Build vs BuyA practical framework for deciding whether to build, buy or embed.