Abstract: An artificial intelligence data analytics system, including: a data analytics algorithm accessible by an analyst operable for receiving data from one or more sources, applying one or more analytical tools to the data, and displaying summary information to the analyst; an artificial intelligence algorithm accessible by the analyst operable for applying a preferred artificial intelligence methodology to the data and automatically triggering and executing an action on behalf of the analyst; and an artificial intelligence learning algorithm accessible by the analyst operable for statistically scoring a plurality of potential artificial intelligence methodologies to be used by the artificial intelligence algorithm, receiving a corresponding analyst preference as to the preferred artificial intelligence methodology, and causing the artificial intelligence algorithm to utilize the preferred artificial intelligence methodology.

Abstract: Schemaless systems and methods for automatically building and utilizing a chatbot knowledge base or the like. Textual analytics tools, such as natural language processing (NLP) and/or deep learning engines, are used to analyze the knowledge base and uncover and highlight gaps, which are turned into topics. Predetermined answers to these queries can then be prepared manually, or by an artificial intelligence (AI) algorithm with alternative database visibility. In this manner, new question-and-answer (Q&A) pairs are generated by the systems and methods in an automated manner, for later use by a chatbot, coaching system, or the like. These processes are iterative. Advantageously, transferring the processes from manual control to automated control greatly conserves resources.

Abstract: An unstructured data analytics system, including: an unstructured data analytics algorithm resident on a server and accessible via a browser operable for receiving unstructured data from one or more remote sources, applying one or more analytical tools to the unstructured data, and displaying summary information to one or more users; wherein the summary information is displayed to the one or more users in a presentation layer, an exploration layer, and an annotation layer. The unstructured data analytics algorithm is also operable for receiving outside data from one or more remote sources. The presentation layer displays one or more of the unstructured data a summary of the unstructured data, and the summary information. The exploration layers allows the one or more users to modify the granularity of the summary information, thereby modifying the granularity of the presentation layer. The one or more users can interact with the unstructured data analytics system simultaneously via the annotation layer.

Abstract: An unstructured data analytics system, including: an unstructured data analytics algorithm resident on a server and accessible via a browser operable for receiving unstructured data from one or more remote sources, applying one or more analytical tools to the unstructured data, and displaying summary information to one or more users; wherein the summary information is displayed to the one or more users in a presentation layer, an exploration layer, and an annotation layer. The unstructured data analytics algorithm is also operable for receiving outside data from one or more remote sources. The presentation layer displays one or more of the unstructured data a summary of the unstructured data, and the summary information. The exploration layers allows the one or more users to modify the granularity of the summary information, thereby modifying the granularity of the presentation layer. The one or more users can interact with the unstructured data analytics system simultaneously via the annotation layer.