Abstract: Methods and apparatuses for generating insights for improving an organization from unstructured and structured data. Natural language processing is employed to process the aggregated data from various data sources to create topics and the features that impact the topics. These topics are then used to generate recommendations to improve customer satisfaction with the organization.

Abstract: A word and sentence forming game in English and in all International languages such as Devanagari, Gurumukhi, Bengali, Gujarati, Oriya, Telugu, Tamil, Kannada, Malayalam, Urdu, Sindhi, Sanskrit, Chinese, Russian, Arabic, Spanish, French, German and others. A set of letters are arranged in a programmatic fashion for each occurrence of the game. Rules are provided by which words and grammatically valid sentences ranging from simple to complex in any subject area are formed by each player or a machine in a finite amount of time. The game challenges the players to imagine some vowel characters to create grammatically correct word and sentence formation. The player who accumulates the predetermined number of points is declared winner.

Abstract: Methods and apparatuses for generating insights for improving an organization from unstructured and structured data. Natural language processing is employed to process the aggregated data from various data sources to create topics and the features that impact the topics. These topics are then used to generate recommendations to improve customer satisfaction with the organization.

Abstract: A word and sentence forming game in English and in all International languages such as Devanagari, Gurumukhi, Bengali, Gujarati, Oriya, Telugu, Tamil, Kannada, Malayalam, Urdu, Sindhi, Sanskrit, Chinese, Russian, Arabic, Spanish, French, German and others. A set of letters are arranged in a programmatic fashion for each occurrence of the game. Rules are provided by which words and grammatically valid sentences ranging from simple to complex in any subject area are formed by each player or a machine in a finite amount of time. The game challenges the players to imagine some vowel characters to create grammatically correct word and sentence formation. The player who accumulates the predetermined number of points is declared winner.

Abstract: Methods and apparatuses for creating data analysis (DA) systems for generating insights (also known as results) from a plurality of data sources without requiring the designer/implementer of the DA system or the user to understand complicated technology details such as for example coding, big data technology or high-end business analytics algorithms.

Abstract: The present invention relates to systems and methods for cloud based consumer sentiment analysis with social insights. Data is integrated from a plurality of data sources, including a structured data source, an unstructured data source, a social data source, and a syndicated data source. Key attributes are selected from the integrated data, and may be name value pair requests. From these key attributes, consumer segments, sentiments and attribute correlations may be generated. The segments are generated from the social data. The correlation is generated using clustering algorithms. In some embodiments, generating sentiment and generating correlations dynamically utilizes models according to attributes of the integrated data. Polarity, emotion and topicality may be calculated for the generation of visualizations.

Abstract: Methods and apparatuses for organizations to monitor, analyze and respond to unstructured and structured data that is related to their Governance, Risk, and Compliance (GRC) programs. Embodiments of the invention generated mapped Risk Control Matrices (RCMs) and/or insights for improving the GRC process from unstructured and structured data. Natural language processing is employed to process the aggregated data from various data sources to create attributes and contributors. The attributes and weighted contributors are processed to form mapped RCMs and/or GRC-related insights.

Abstract: Methods and apparatuses for generating insights for improving a health organization from unstructured and structured data. Natural language processing is employed to process the aggregated data from various data sources to create attributes and contributors. The attributes and weighted contributors are processed with business rules and/or compliance rules to form the insights.

Abstract: The present invention relates to systems and methods for cloud based consumer sentiment analysis with social insights. Data is integrated from a plurality of data sources, including a structured data source, an unstructured data source, a social data source, and a syndicated data source. Key attributes are selected from the integrated data, and may be name value pair requests. From these key attributes, consumer segments, sentiments and attribute correlations may be generated. The segments are generated from the social data. The correlation is generated using clustering algorithms. In some embodiments, generating sentiment and generating correlations dynamically utilizes models according to attributes of the integrated data. Polarity, emotion and topicality may be calculated for the generation of visualizations.

Abstract: Methods and apparatuses for creating data analysis (DA) systems for generating insights (also known as results) from a plurality of data sources without requiring the designer/implementer of the DA system or the user to understand complicated technology details such as for example coding, big data technology or high-end business analytics algorithms.

Abstract: Methods and apparatuses for organizations to monitor, analyze and respond to unstructured and structured data that is related to their Governance, Risk, and Compliance (GRC) programs. Embodiments of the invention generated mapped Risk Control Matrices (RCMs) and/or insights for improving the GRC process from unstructured and structured data. Natural language processing is employed to process the aggregated data from various data sources to create attributes and contributors. The attributes and weighted contributors are processed to form mapped RCMs and/or GRC-related insights.

Abstract: Methods and apparatus for modeling, using a data science approach, the propensity of employee turn-over and the level of engagement of employees. Both unstructured and structured data from internal and external sources are included in the analysis to determine the level of satisfaction and contribution by employees. What-if analysis permits assessment of the impact on satisfaction, contribution and/or budget for various what-if scenarios, permitting management to take the most effective action to drive retention and/or employee contribution goals.