Accenture Global Services Gmbh

Accenture Global Solutions Limited

Junmin Yang

Christian Souche

Alexandre Naressi

Richard Vidal

Examples of the disclosure enable an information processing system to automatically implement a user interaction diagnostic engine. In some examples, the information processing system analyzes documents to identify parameters associated with profile features and performance metrics. Based on the parameters, correlation values between the profile features and one or more performance metrics are determined. Based on the correlation values, at least one profile feature is identified to improve a parameter associated with the performance metrics. A predictive model associated with the profile features and the performance metrics is generated. One or more actionable items configured to modify the at least one profile feature are determined such that, based on the predictive model, a parameter associated with the performance metrics are predicted to improve upon execution of the one or more actionable items.

Common data repository for improving transactional efficiencies across one or more communication channels

A machine learning image processing system performs natural language processing (NLP) and auto-tagging for an image matching process. The system facilitates an interactive process, e.g., through a mobile application, to obtain an image and supplemental user input from a user to execute an image search. The supplemental user input may be provided from a user as speech or text, and NLP is performed on the supplemental user input to determine user intent and additional search attributes for the image search. Using the user intent and the additional search attributes, the system performs image matching on stored images that are tagged with attributes through an auto-tagging process.

Machine learning image processing

Examples of the disclosure enable an information processing system to automatically generate a common data repository including a plurality of documents. In some examples, the information processing system is configured to analyze the documents to identify a plurality of topics. Based on the identified topics, the documents are classified into a plurality of sets. A set is associated with a corresponding topic. One or more correlations between the documents are identified and, based on the identified correlations, one or more user interaction tools are generated including an interaction script.

Growing community of inventors

Antibes, France

Junmin Yang