Abstract: Embodiments of a system and method for identifying and prioritizing company prospects by training at least one classifier on client company win/loss metrics. One or more classifiers can be trained on a training database compiled from company win/loss database for a client and firmographic data from a robust business entity database. Once trained, the system can employ Artificial Intelligence powered by the trained classifiers to classify and output customized prospect lists of thousands of profiled and scored companies that the AI has determined are likely targets for specific marketing and sales. The AI can also ingest databases of client targets and classify and score them based on the custom-trained classifier.

Abstract: There is provided a method for assessing an activity level of an entity. The method includes (i) receiving source data from a source about a plurality of entities, (ii) analyzing the source data to produce (a) a source data assessment that indicates whether to include the source data in a scored data set, and (b) a calculated accuracy that is a weighted accuracy assessment of the source data, (iii) receiving entity data about an entity of interest, (iv) generating, from the entity data and the calculated accuracy, an entity description that represents attributes of the entity of interest, (v) analyzing the source data assessment and the entity description to produce an activity score that is an estimate of an activity level of the entity of interest, and (vi) issuing a recommendation concerning treatment of the entity of interest based on the activity score.

Abstract: Embodiments of a system and method for identifying and prioritizing company prospects by training at least one classifier on client company win/loss metrics. One or more classifiers can be trained on a training database compiled from company win/loss database for a client and firmographic data from a robust business entity database. Once trained, the system can employ Artificial Intelligence powered by the trained classifiers to classify and output customized prospect lists of thousands of profiled and scored companies that the AI has determined are likely targets for specific marketing and sales. The AI can also ingest databases of client targets and classify and score them based on the custom-trained classifier.

Abstract: A networking system for real-time generation of a global business ranking based upon country specific data retrieved from at least a plurality of countries, the system comprising: a plurality of country data collection systems, wherein the country specific data is collected from a plurality of country sources; a transformation engine which receives and categorizes the collected data into at least one selected from the group consisting of: country trade data, country financial data and country derogatory information; a data/attribute repository which merges the country trade data, country financial data and/or country derogatory information with data from a global database, macro score data and/or signal score data to form merged data, and sorts the merged data into at least one selected from the group consisting of: global trade data, global financials data and global derogatory information; and a global business ranking processor which retrieves any of the global trade data, global financials data and/or glo