Various embodiments are generally directed to techniques utilizing computers to process service billing data, generate one or more groups of customers based on one or more attributes of the data, and train a recurrent neural network (RNN) to predict future bill amounts for customers. Embodiments further include techniques to predict the future bill amounts of the customers and providing an indication of the bill amounts to the customers.

A method and device for automatic preparation of documentation for an agricultural production machine is disclosed. Work of the agricultural production machine is documented in the documentation, whereby a positioning system records a movement path of the agricultural production machine while the work is being performed. The movement path, including position data and a timestamp assigned to the particular position data, is generated. The movement path is analyzed using data analysis to derive a movement pattern of the agricultural production machine, with the type of work of the agricultural production machine being inferred from the movement pattern. The data analysis may comprise a machine learning method, with the machine learning method including a classification step, a clustering step and a regression step.

The present disclosure provides a computer-implemented method and system for real time advertisement auction on telecommunication notification channels. The computer-implemented method and system corresponds to an advertisement serving system. The advertisement serving system integrates a plurality of advertisers and one or more telecommunication notification channels. In addition, the advertisement serving system receives a subscriber data, a subscriber interaction data associated with a plurality of subscribers. Further, the advertisement serving system receives an advertiser data associated with the plurality of advertisers. Furthermore, the advertisement serving system analyzes the subscriber data, the subscriber interaction data and the advertiser data. Moreover, the advertisement serving system determines a subscriber context data. Also, the advertisement serving system generates a plurality of categories. Also, the advertisement serving system sends request to the plurality of advertisers for bidding. In addition, the advertisement serving system determines the highest bid and serves one or more advertisements.

Systems, computer program products, and methods are described herein for providing efficient retrieval of business valuation information. The present invention is configured to receive, via a user device, information associated with a first business; retrieve from a business classification database, a business classification code; automatically retrieve, from a valuation database, one or more business names; determine a similarity metric between the first business and each of the one or more business names; retrieve, from the valuation database, one or more business valuations associated with the one or more business names; initiate a dashboard report script, wherein the dashboard report script is configured to display the one or more business names with corresponding information, including the one or more business valuations associated with the one or more business names.

Embodiments of the present invention include a crowdfunding platform comprising one or more computer systems, one or more memories, and one or more central processing units (CPUs). The crowdfunding platform has one or more alternative interfaces to one or more alternative networks. The alternative networks are not capable of operating directly with the Internet. There are also one or more Internet interfaces to the Internet. A crowdfunding platform receives information about a crowdfunding project from one of the alternative interfaces, processes the information into processed information, sends the processed information over one of the Internet interfaces. Further, the crowdfunding platform receives Internet information over one of the Internet interfaces, translates the Internet information into transformed information, and sends the transformed information over one of the alternative interfaces.

A method for predictive marketing includes: receiving information that an event is expected to happen or is happening; predicting which attributes of customers will be associated with calls or chats directed to the event; predicting which customers will contact a contact center based on the predicted attributes; and taking action based on the predictions. A system for predictive marketing includes: an intelligent database for storing interaction data of customers; and a data management platform (DMP) configured to receive customer data from the intelligent database, analyze the customer data, determine which of the customers will be affected by an event, determine how the customers will be affected by the event, and take action. A predictive marketing platform includes: data sources; and a marketing and ad platform configured to receive data from the data sources, make predictions based on the data; and take action based on the predictions.

A data storage system includes a first region, a second region, and a global enumerator. The first region stores a first copy of data. The second region stores a second copy of the data. The global enumerator performs a data control analysis of the data to identify that the first region is a high regulation region and the second region is a low regulation region; in response to making the identification: updates first metadata associated with the first copy of the data to regulate access to the first copy of the data; and updates second metadata associated with the second copy of the data to deregulate access to the second copy of the data.

Embodiments for providing intelligent land use planning recommendations using heterogeneous temporal datasets in a computing environment. One or more positive land-use interventions, one or more negative land-use interventions, or a combination thereof may be recommended for a selected geographical region from heterogeneous chronological data.

A system for product popularity analysis and management, applied to a store with products, includes a monitor device capturing an image or a video of the store interior; a product positioning device obtaining location data indicating locations of the corresponding visual symbols by analyzing the image, and retrieving information data of the products by scanning the visual symbols in the image; a hot-zone analyzing device detecting and recording traffic flows of customers in the store according to the video, generating plural hot-zone data associated with activities of the customers at locations in the store by analyzing the traffic flows of the customers; and a processing device defining cover regions based on the locations of the corresponding visual symbols, integrating the hot-zone data falling into a common cover region, and pairing the integrated hot-zone data with the information data of the corresponding visual symbol associated with the common cover region.

The present application discloses an improved wait time optimization system, and corresponding methods and computer-readable media. According to disclosed embodiments, the wait time optimization system generates a customized wait time period for a provider computing device that has arrived at a pickup location associated with a matched transportation request. Upon the expiration of the customized wait time period, the wait time optimization system selectively enables a cancellation option for the provider computing device that enables a user of the provider computing device to cancel the transportation request, thereby releasing the provider computing device for a new transportation request match.