What is an accelerator?
Identify at-risk customers
Improve customer experience
Minimize bias in the model
Using the customer attrition accelerator helps you to identify those customers who are at risk of churning
Proactively engage with the high value customers, possibly preventing the number of customers switching from your utility provider
Understand how your AI models make decisions to detect and mitigate bias
281% better in predicting client attrition than baseline regression models
End-to-end AI Ladder application
An architecture enabling you to extract meaning from your data
From cataloging data through a glossary of terms to model development and deployment, simplify the lifecycle of your AI project
Composable and extensible pattern that can be applied to new data and industries
IBM Cloud Pak for Data
Built on Red Hat OpenShift Container Platform, IBM Cloud Pak for Data accelerates your journey to AI to transform how your business operates with an open, extensible data and AI platform that runs on any cloud.
Watson Knowledge Catalog
Help your data users quickly find, curate, categorize and share data, analytical models and their relationships with other members of your organization.
Empower your data science and AI teams to refine data and visually build and deploy models, using data on the desktop for anytime, anywhere access.
Watson Machine Learning
Deploy, monitor, and optimize models quickly, easily, and at scale.
Utilities Demand Response Program Propensity
Which customers should be offered the opportunity to enroll in the Demand Response Program? Use the Utilities Demand Response Program Propensity accelerator to jump-start your analysis.
Utilities Payment Risk Prediction
Utilities Payment Risk Prediction is a program used by utility companies to identify customers who pose a risk and take preventive steps to remediate future revenue collections issues.
Utilities Customer Micro-Segmentation
Customer micro-segmentation is a program used by utility companies to divide a company's customers into small groups based on their lifestyle and engagement behaviors.