Pwc Product Sales LLC

Chakkarapani Vijayakumar

Joseph David Voyles

Kanak Dahake

Mitchell J Mccarthy

Mukeshwar Singh Braria

Syed Mohammed Zahref Beyabani

Saurabh Mohanty

Trevon Adams

Gaurav Kumar

Venkatesh Kaushik

A system for generating a visual representation of similarities between reports is provided. The system receives input data comprising a plurality of reports from one or more information sources. For each report from the plurality of reports, the system extracts metadata. The metadata is distinct from data values in the respective report and indicates a plurality of data types of the data values in the respective report. For each pairwise combination of reports, the system computes one or more similarity metrics based on the extracted metadata for each report in the respective pairwise combination. Each similarity metric indicates a degree of similarity between metadata of a pairwise combination of reports. The system generates and displays a visual representation of similarities between each pairwise combination of reports. The visual representation is generated based on the one or more computed similarity metrics for each pairwise combination.

Systems and methods for generating visual representations of similarities between reports

A system for processing relational database data using a generative artificial intelligence (AI) language models is provided. The system receives relational database data and generates, based on the relational database data, schema data. The system also receives a user query input. The system generates and provides a first prompt to a generative AI language model, based on the user query input and the schema data. The system responsively receives, from the generative AI language model, an indication of a first subset of the database data identified as relevant to the query. The system generates and provides a second prompt to the generative AI language model, based on the user query input and the identified first subset. The system responsively receives, from the generative AI language model, an output comprising insight data generated based on the user query input and the identified first subset of the database data.

Systems and methods for relational database insight extraction and visualization

Growing community of inventors

Chennai, India

Chakkarapani Vijayakumar