Bank of America Corporation

Ashwin Kumar Yedte

Gaurav Bansal

Deviprasad Tatti

Satyabrata Pradhan

Prashanth Vallabhaneni

Diane S Cannato

Sridhar Viswanathan

Rosheny Edathil

Aspects of the disclosure relate to generating and providing enhanced user interfaces by implementing data, AI, intents and personalization (DAIP) technology. In some embodiments, a computing platform may receive, from enterprise computing infrastructure, first unstructured activity data associated with a first enterprise channel. Subsequently, the computing platform may identify one or more user intents by applying an intent discovery model to the first unstructured activity data associated with the first enterprise channel. Then, the computing platform may generate status tracking information based on identifying the one or more user intents. Thereafter, the computing platform may store, in a consolidated event repository, the status tracking information generated based on identifying the one or more user intents, and storing the status tracking information in the consolidated event repository may cause the status tracking information to be exposed to multiple computer systems associated with different enterprise channels.

Generating and providing enhanced user interfaces by implementing data, AI, intents and personalization (DAIP) technology

A memory stores a first log and a collection of queries. A processor accesses a second log that includes a first, second, third and fourth historical query, determines that the first and second historical queries belong to a first similarity group and the third and fourth historical queries belong to a second similarity group, and ranks the queries within groups based on static and dynamic features. The processor further determines the third historical query is frequently submitted and copies the highest ranked similar queries into the collection. The processor receives a first database query, stores it in both logs, determines it is not similar to queries stored in memory, further determines that it belongs to the first similarity group, copies the highest ranked similar queries to the first log, and returns a report containing the similar queries. The processor further receives and executes a second query selected from the report.

Database query tool

Growing community of inventors

Hyderabad Telangana, India

Ashwin Kumar Yedte