key capabilities | AUTOML
Build AI models, faster, with intelligent AutoML
As organizations become increasingly data-driven, teams share a growing interest to tap into AI to extract meaningful insights from within their data. Game changing AutoML makes long development cycles, with specialized resources, a thing of the past.
Spend less time developing, more time predicting
By performing the technical aspects of model development, Kepler makes it easy to build, train, and work with ML models, and frees data teams to spend more time learning about their data and analyzing insights. With built-in data science best practices, Kepler places the emphasis on AI insights and predictions, not technical implementation.
Build AI models in minutes
Use point-and-click walkthroughs to generate up to 35 AI pipelines, built according to business context (for example whether the problem is related to churn, demand prediction, classification, etc) and meta information found within the dataset.
See into the black box
Reliability metrics show when data analysts know when a model is ready for production, and what to do when it’s not. Easy-to-understand tools explain which factors influenced the predicted outcome.
Retrain with ease
Upload new datasets and retrain existing models to quickly validate model performance and relevance in a changing environment.
Build AI models in minutes
Use point-and-click walkthroughs to generate up to 35 AI pipelines, built according to business context (for example whether the problem is related to churn, demand prediction, classification, etc) and meta information found within the dataset.
See into the black box
Reliability metrics show when data analysts know when a model is ready for production, and what to do when it’s not. Easy-to-understand tools explain which factors influenced the predicted outcome.
Retrain with ease
Upload new datasets and retrain existing models to quickly validate model performance and relevance in a changing environment.
