Datainfocom USA, Inc.

Datalnfocom USA, Inc.

1Spire, Inc.

Patrick John Thielke

Wensu Wang

Mubbashir Nazir

Chun Wang

Atanu Maity

Josh Cincinnati

Midhun Elamkulam

Midhun Em

Ligang Bai

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.

Systems and methods for segmenting customer targets and predicting conversion

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.

Short-term weather forecasting using hybrid data

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.

Short-term weather forecasting using artificial intelligence and hybrid data

A method and system for automated media delivery to mobile devices and mobile device lockscreens. The method includes receiving a first media request associated with a first target device, obtaining a first user account associated with the first media request, wherein the first user account comprises first user category criteria; selecting a first user-submitted media item based on the first user category criteria, and sending, to the first target device, the first user-submitted media object, wherein the first user-submitted media object is presented on a lock screen of the first target device. The method further includes receiving a second media request associated with the first target device, selecting a first advertiser-submitted media object based on the first user category criteria, and sending, to the first target device, the first advertiser-submitted media object, wherein the first advertiser-submitted media object is presented on the lock screen of the first target device.

System for automated media delivery to mobile devices and mobile device lockscreens

Growing community of inventors

Houston, TX, United States of America

Patrick John Thielke