Artificial intelligence optimized unstructured data analytics systems and methods

1. An artificial intelligence data analytics system, comprising:

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, wherein the action is customizable for 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, wherein statistically scoring the plurality of potential artificial intelligence methodologies comprises correlating the data to preexisting statistically scored artificial intelligence methodologies, 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, wherein in response to utilizing the preferred artificial intelligence methodology, the preferred artificial intelligence methodology is included in the preexisting statistically scored artificial intelligence methodologies for processing subsequently received data.

2. The artificial intelligence data analytics system of claim 1 , wherein the data comprises one or more of internal data and external data relative to an entity.

3. The artificial intelligence data analytics system of claim 1 , wherein the data analytics algorithm performs natural language understanding, topic modeling, entity recognition, and predictive analysis.

4. The artificial intelligence data analytics system of claim 1 , wherein the action triggered and executed on behalf of the analyst by the artificial intelligence algorithm comprises one or more of sending a text message, sending an email, performing a customer marketing strategy/service marketing strategy action, scoring the analyst, and performing a reporting function.

5. The artificial intelligence data analytics system of claim 1 , wherein the artificial intelligence learning algorithm implements one or more of a loyalty model, a performance evaluation model, a satisfaction model, a knowledge base expansion model, and a recommendation system model.

6. The artificial intelligence data analytics system of claim 1 , wherein the data is iteratively optimized based on feedback from the artificial intelligence learning algorithm such that the statistical scores of the plurality of potential artificial intelligence methodologies are improved.

7. The artificial intelligence data analytics system of claim 1 , wherein the artificial intelligence methodology implemented includes one or more of a decision tree, a naive Bayes classification, an ordinary least squares regression, a logistic regression, a support vector machine, an ensemble method, a clustering algorithm, a principal component analysis, a singular value decomposition, and an independent component analysis.

8. A method for providing an artificial intelligence data analytics system, comprising:

providing 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;

providing 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, wherein the action is customizable for the analyst; and

providing 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, wherein statistically scoring the plurality of potential artificial intelligence methodologies comprises correlating the data to preexisting statistically scored artificial intelligence methodologies, 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, wherein in response to utilizing the preferred artificial intelligence methodology, the preferred artificial intelligence methodology is included in the preexisting statistically scored artificial intelligence methodologies for processing subsequently received data.

9. The method of claim 8 , wherein the data comprises one or more of internal data and external data relative to an entity.

10. The method of claim 8 , wherein the data analytics algorithm performs natural language understanding, topic modeling, entity recognition, and predictive analysis.

11. The method of claim 8 , wherein the action triggered and executed on behalf of the analyst by the artificial intelligence algorithm comprises one or more of sending a text message, sending an email, performing a customer marketing strategy/service marketing strategy action, scoring the analyst, and performing a reporting function.

12. The method of claim 8 , wherein the artificial intelligence learning algorithm implements one or more of a loyalty model, a performance evaluation model, a satisfaction model, a knowledge base expansion model, and a recommendation system model.

13. The method of claim 8 , further comprising iteratively optimizing the data based on feedback from the artificial intelligence learning algorithm such that the statistical scores of the plurality of potential artificial intelligence methodologies are improved.

14. The method of claim 8 , wherein the artificial intelligence methodology implemented includes one or more of a decision tree, a naive Bayes classification, an ordinary least squares regression, a logistic regression, a support vector machine, an ensemble method, a clustering algorithm, a principal component analysis, a singular value decomposition, and an independent component analysis.