This accelerator focuses on assessing the risk of hospital readmissions within 30 days of discharge for diabetic patients. The predictive model analyses factors affecting readmission such as a patient's medical records, admission details, discharge details, lab test results, types of diagnoses,...
The Insurance Loss Estimation using Remote Sensing Data Industry Accelerator analyzes satellite images before and after a weather event. Using spatio-temporal analysis and Machine Learning / AI techniques, we can obtain insights into what geographical areas have been affected by the event, the...
About This Accelerator Severe weather has a significant impact on insurers and their policyholders. This industry accelerator simulates a point in history where there were billions of dollars of damage caused by fire, wind and hail 2'' in size within the south western part of the United...
The accelerator is created using Data Asset eXchange data to support retail industry. This application will allow companies to view customer reviews in a more organized manner. Reviews are grouped and sentiments are highlighted. What's included? A structured business glossary of more than...
Why are your customers leaving? Use the Utilities Customer Attrition Prediction accelerator to jump-start your analysis. What's included? A structured business glossary of 150 business terms. Sample data science assets Jupyter notebooks to create machine learning models to predict...
The accelerator is created using Data Asset eXchange data to support effective farming by monitoring crop growth using crop guide and provide timely alert to farmers about weather change, possible development of crop disease, evaporation of fungicide, and efficient use of solar panels ...
Use machine-learning models and The Weather Company data to help you predict how weather conditions impact business performance, for instance prospective sales. What's included? A structured business glossary of 75 business terms. Sample data science assets How does it work? The...
Use machine-learning models and The Weather Company data to help you understand the impact weather has on failure rate, and identify actions you can take to save time and money. What's included? A structured business glossary of business terms. Sample data science assets A sample...
Use machine-learning models and The Weather Company data to help you understand how a retail inventory manager, marketer and retail sales planner can quickly determine the optimal combination of store, product and weather condition to maximize revenue uplift, know what to keep in inventory,...
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. The input for this model includes customer demographic details, survey based questionnaire features relating to lifestyle,...