Abstract: There is provided a computer implemented data driven classification and troubleshooting system and method. The system has an interface application enabled to receive data. The system has an associative memory software in communication with the interface application via an API. The associative memory software has an associative memory and a machine learning algorithm. The system has one or more individual areas, within the associative memory, requiring one or more troubleshooting actions to improve accuracy of the individual areas. The system has at least one troubleshooting tool enabled by the interface application. The at least one troubleshooting tool enables or performs the troubleshooting actions. The system has a quality rating metric (QRM) that measures a strength and an assurance that one or more predictions of the associative memory are correct. The one or more troubleshooting actions results in improving the accuracy and the performance of the associative memory.

Abstract: A system for analyzing a request for proposal. The system includes an associative memory including a plurality of data having a plurality of associations. The system also includes an input device in communication with the associative memory. The input device is configured to provide the request for proposal to the associative memory in a format understandable to the associative memory. The associative memory is configured to digest the request for proposal to be included within the plurality of data, wherein a digested request for proposal is formed. The system also includes an analyzer in communication with the associative memory. The associative memory is configured to analyze the digested request for proposal by receiving a query comprising one or more terms, creating relationships among the plurality of data in the associative memory based on the query, and returning an output that includes requirements or other attributes presented in the digested request for proposal based on the query.

Abstract: A method, apparatus, and system for visually representing content in media sources. A plurality of vectors is created, by a computer system, for the media sources based on content in the media sources and a lexicon built for a selected subject. The plurality of vectors include elements that represent matches between base entities in the lexicon and extracted entities from the content in the media sources. A visual representation of the content in the media sources based on the plurality of vectors is displayed, by the computer system, through a graphical user interface that is configured to enable a user to navigate through the content. The visual representation of the content is transformed in real-time, by the computer system, based on user input such that changes to the visual representation of the content in the graphical user interface visually track the user navigating through the content.

Abstract: There is provided a computer implemented data driven classification and troubleshooting system and method. The system has an interface application enabled to receive data. The system has an associative memory software in communication with the interface application via an API. The associative memory software has an associative memory and a machine learning algorithm. The system has one or more individual areas, within the associative memory, requiring one or more troubleshooting actions to improve accuracy of the individual areas. The system has at least one troubleshooting tool enabled by the interface application. The at least one troubleshooting tool enables or performs the troubleshooting actions. The system has a quality rating metric (QRM) that measures a strength and an assurance that one or more predictions of the associative memory are correct. The one or more troubleshooting actions results in improving the accuracy and the performance of the associative memory.

Abstract: A method for analyzing transaction information that involves storing each one of a plurality of transactions in an associative memory with an associated cluster identification number. A given one of the transactions is selected for analysis, the given one of the transactions having a specific cluster identification number. An entity analytics engine is used to search and obtain a first subplurality of transactions from the associative memory that are similar to the given transaction by having a common attribute or entity and assigning each of the transactions a similarity score. Each one of the transactions is further analyzed to determine if it would be beneficial to form a formal transaction relationship with an organization involved with at least one of the transactions of the cluster.

Abstract: An apparatus for evaluating an audio communication comprises a data store for storing a plurality of digital units representing a plurality of characterized aspects of historical audio communications. The characterized aspects include words and sets of words. The apparatus further comprises an associative memory unit coupled with the data store to create associations between entities representing the characterized aspects, and relate the entities and the frequency of occurrence of the entities to identify relationships with call handling categories and priorities requiring intervention, and an assessing unit coupled with the associative memory unit to indicate whether the audio communication contains any associative memory associations related to a call handling category and call handling priority requiring intervention.

Abstract: A system for analyzing a request for proposal. The system includes an associative memory including a plurality of data having a plurality of associations. The system also includes an input device in communication with the associative memory. The input device is configured to provide the request for proposal to the associative memory in a format understandable to the associative memory. The associative memory is configured to digest the request for proposal to be included within the plurality of data, wherein a digested request for proposal is formed. The system also includes an analyzer in communication with the associative memory. The associative memory is configured to analyze the digested request for proposal by receiving a query comprising one or more terms, creating relationships among the plurality of data in the associative memory based on the query, and returning an output that includes requirements or other attributes presented in the digested request for proposal based on the query.

Abstract: A system, method and computer program product are provided for identifying a qualified candidate from among a plurality of initial candidates in an efficient and reliable manner. In the context of a system, an associative memory is provided that is configured to store information regarding a plurality of candidate entities and at least one requisition entity. The associative memory is also configured to store information regarding attributes associated with candidate and requisition entities. Further, the associative memory is configured to store information regarding associations between the entities. The system also includes a receiver module configured to receive one or more query terms. The system may also include an identification module configured to identify the qualified candidate based upon the query terms and the associations between the candidate entities and the at least one requisition entity that are provided by the associative memory.

Abstract: A system for analyzing unstructured data. The system includes an associative memory including a plurality of data in associated units having a plurality of associations. The associative memory is configured to be queried based on at least one relationship selected from the group that includes direct relationships and indirect relationships among the plurality of data. The associative memory further includes a content-addressable structure. The system also includes an analyzer in communication with the associative memory, wherein the analyzer is configured to parse and arrange the plurality of data into comparable units in response to a query. The analyzer is configured to establish an ordered list ranking the comparable units in an order of precedence based on the query.

Abstract: The present invention provides a computer implemented method, apparatus, and computer usable program code for identifying interchangeable parts in parts catalogs. In one illustrative embodiment, a set of catalogs is searched for first attributes for a set of parts using an intelligent agent. The intelligent agent compares the first attributes for the set of parts to a set of second attributes for a selected part. A weight is assigned to each of the first attributes based on whether each of the first attributes is correlated to an attribute in the set of second attributes. Each part in the set of parts is ranked using the weight assigned to each attribute in the first attributes. A set of interchangeable parts is identified using the ranking for each part in the set of parts.

Abstract: The present invention provides a computer implemented method, apparatus, and computer usable program code for identifying interchangeable parts in parts catalogs. In one illustrative embodiment, a set of catalogs is searched for first attributes for a set of parts using an intelligent agent. The intelligent agent compares the first attributes for the set of parts to a set of second attributes for a selected part. A weight is assigned to each of the first attributes based on whether each of the first attributes is correlated to an attribute in the set of second attributes. Each part in the set of parts is ranked using the weight assigned to each attribute in the first attributes. A set of interchangeable parts is identified using the ranking for each part in the set of parts.

Abstract: A computer implemented method, apparatus, and computer usable program code for simulating human behavior. Source code for predicting human behavior is located on a storage system in a network data processing system. An interpreter executing on hardware in the network data processing system includes a language interpreter and a communications module. The language interpreter executes a simulation with the source code using artificial intelligence to generate a new definition and interpreted source code. A graphical user interface processor receives the interpreted source code from the language interpreter and generates device dependent output. Devices display the device dependent output, receive user input, and send received user input to the graphical user interface processor.

Abstract: A method for analyzing transaction information that involves storing each one of a plurality of transactions in an associative memory with an associated cluster identification number. A given one of the transactions is selected for analysis, the given one of the transactions having a specific cluster identification number. An entity analytics engine is used to search and obtain a first subplurality of transactions from the associative memory that are similar to the given transaction by having a common attribute or entity and assigning each of the transactions a similarity score. Each one of the transactions is further analyzed to determine if it would be beneficial to form a formal transaction relationship with an organization involved with at least one of the transactions of the cluster.

Abstract: An apparatus for evaluating audio communications includes: (a) a data storage device configured for identifying associative memory relations among information aspects stored in the data storage device, (b) a query device coupled with the data storage device, the query device being configured for posing queries relating to at least one of the information aspects and the associative memory relations to obtain at least one query result, and (c) a communications parsing unit coupled with at least one of the data storage device and the query device. The communications parsing unit is configured to receive the audio communications and is configured to effect identification of features related with the audio communications. The features related with the audio communications are available for inclusion among the information aspects. The data storage device periodically effects evaluation of the associative memory relations.

Abstract: A computer implemented method, apparatus, and computer usable program code for simulating human behavior. Source code for predicting human behavior is located on a storage system in a network data processing system. An interpreter executing on hardware in the network data processing system includes a language interpreter and a communications module. The language interpreter executes a simulation with the source code using artificial intelligence to generate a new definition and interpreted source code. A graphical user interface processor receives the interpreted source code from the language interpreter and generates device dependent output. Devices display the device dependent output, receive user input, and send received user input to the graphical user interface processor.

Abstract: The present invention provides a computer implemented method, apparatus, and computer usable program code for identifying interchangeable parts in parts catalogs. In one illustrative embodiment, a set of catalogs is searched for first attributes for a set of parts using an intelligent agent. The intelligent agent compares the first attributes for the set of parts to a set of second attributes for a selected part. A weight is assigned to each of the first attributes based on whether each of the first attributes is correlated to an attribute in the set of second attributes. Each part in the set of parts is ranked using the weight assigned to each attribute in the first attributes. A set of interchangeable parts is identified using the ranking for each part in the set of parts.