Abstract: Methods, systems and apparatuses, including computer programs encoded on computer storage media, are provided for generating prediction models related to targeting and acquiring customers. Thousands of variables of historical data, including data for prospects and external data, are used to train the prediction models. The variables are pre-processed, then sensitivity analysis is performed on the input variables with respect to the target. The variables with the most influence on the target are selected and added to the feature set used for training a prediction model.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating weather forecasting modules from historical weather data, including unstructured and structured data. The weather forecasting modules each comprise at least one model, such as a neural network, that generates a forecast from input weather data. Each module may be focused on a particular region, weather variable, and or forecasting time period. Unstructured data may be analyzed by the system to generate weather-related variables which are combined with structured weather data to generate a combined weather feature set that is input to the model. Alternatively, unstructured data may be input directly in the module, with or without preprocessing. The weather forecasts can then be used to forecast various power-generation related variables or events, including power generation, electrical load, etc.

Abstract: Methods, systems and apparatuses, including computer programs encoded on computer storage media, are provided for processing claims using both unstructured and structured policy documents and claim data. Policy rules, benefit calculation formulae, necessary data points, and benefit requirements are extracted from policy documents. Unstructured claim data is converted to a structured form using natural language processing, information extraction, and AI techniques to identify and extract relevant information, including values for the data points and benefit conditions, then the combined structured data and converted unstructured data is processed to get all values for the data points and applicable benefit conditions. The relevant claim information is then further processed according to the policy rules and benefit calculation formulae to generate a benefit payment amount and entitled additional benefits.

Abstract: A system includes at least one server implementing a weather forecast engine and in communication with a network, the server to access satellite imagery, published weather predictions, and local measured data via the network; the weather forecast engine to train regional modules using the satellite imagery, published weather predictions, and local measured data; and the weather forecast engine to apply the satellite imagery, published weather predictions, and local measured data to the trained regional modules to obtain regional forecasts. A method for forecasting a weather indicator includes receiving satellite imagery; processing the satellite imagery to generate a weather feature set; applying the weather feature set to a regional module of a weather forecast engine; and forecasting the weather indicator with the weather forecast engine.