KPMG LLP

The invention relates to computer-implemented systems and methods for implementing Generative AI code modernization and integration. An embodiment of the present invention is directed to a code modernization tool or platform that efficiently modernize code to meet various business and technology objectives. An embodiment of the present invention is directed to assisting organizations modernize from legacy code and technologies to modern, maintainable code through Generative AI.

The invention relates to computer-implemented systems and methods for providing an end-to-end GenAI workforce transformation platform. An embodiment of the present invention provides an AI guide through an adoption experience for employers and employees to make an impact on new ways of working that change how employers deliver new value while creating a way for employees to own and be valued for their own career. For employers, the innovative platform surfaces the gaps to adoption for employees, helps discover new automation and augmentation opportunities, and puts a strategic plan in place to upskill and reskill today's workforce for an AI-enabled future. The platform empowers employees with ownership of their future, provides a career coach that aligns with their core motivations, facilitates secure, shareable proof of their competencies for career advancement, and provides a strategic blueprint to adopt AI in their roles.

The invention relates to computer-implemented systems and methods for data risk management that provides traceability across governing artifacts which is key to driving effective data risk management and achieving compliance to policy, standards and controls. An embodiment of the present invention is directed to a standardized data risk taxonomy, harmonized classification schema, policy and standard hierarchy, control catalog and standard of care. These components facilitate an alignment to a full information lifecycle with a common definition of data risk, traceability across governing artifacts (e.g., obligations, policies, standards, risks, controls, etc.) and standardized catalogs with defined treatment across harmonized classification of assets.

A financial report analysis system having an intelligent automation unit for selecting from stored financial data the financial data to be processed and automatically scheduling for processing the selected financial data, a conversion unit for converting the selected financial data stored in a storage unit into a selected processing format to form converted financial data, a financial data processing unit for automatically processing the converted financial data to form processed financial data and for generating marked financial data from the processed financial data that includes one or more markings, and a verification unit for verifying an accuracy of the processed financial data by comparing the processed financial data to other financial data, and then highlighting or marking portions of the processed data if the data is inaccurate.

A model verification system and associated method for employing a multi-party verification technique to verify machine learning models and generative AI systems. The models and associated systems can be deployed in an enterprise and require verification to ensure that cohorts are properly verifying the models and systems and evaluation to ensure that the models and systems operate responsibly and achieve intended outcomes. A dynamic, multi-stakeholder blinded verification process can be employed for the continuous verification and evaluation of machine learning models and the systems that use them. This helps promote unbiased, reproducible verification, evaluation and assessments by preventing potential biases from cohorts form part of the verification process.

An integrated platform system that employ a series of machine learning techniques and prediction and detection units that can process input data and extract and generate meaningful insights and predictions therefrom. The system integrates together multiple different data storage types and applications that generates data of different types, and an associated processing system for processing the different data types, store the data in a common data model to normalize the data, determine the data lineage of the data, and then process the data using different types of techniques. The data can also be processed by a prediction unit for generating meaningful insights and predictions or by an anomaly detection unit for detecting one or more anomalies in the data.

The invention relates to computer-implemented systems and methods for implementing an Intangibles Analytics Tool that may be used to benchmark purchase price allocation (PPA) data from public filings. The Intangibles Analytics Tool may include the ability to: (i) automatically retrieve acquisition disclosure information and provide initial PPA mapping, replacing the need to perform these steps manually and (ii) serve as a database of verified public PPA data that may be leveraged across offices, applications, industries, etc. With the Intangibles Analytics Tool, users may perform transaction searches and automatically retrieve filings associated with the buyers of those transactions.

A network security monitoring system having a plurality of data sources for providing security data, an extraction unit for extracting the security data from the sources of the security data to form extracted security data, a graphing unit for mapping the extracted security data to at least one or more data fields and data models to form graph data, and a data lineage determination unit for determining a data lineage between the log data and one or more of the alerts based on the graph data.

The invention relates to computer-implemented systems and methods that perform forensic investigations including detecting system executable abnormalities. An embodiment of the present invention may be applied to various operating systems, such as Windows, Mac, Linux, etc. Operating systems may represent a collection of programs that coordinate the operation of computer hardware and software and provide common services for computer programs. An embodiment of the present invention recognizes that certain files such as OS catalogs identify known good files and may be filtered out. The OS catalog identifies what executables are expected and further supports what type of files should not be part of the install. An embodiment of the present invention also identifies unique executable properties that relate to a specific operating system. These properties may identify operating system specific characteristics that may be used to filter known good executables.

An agent deployment system for adaptively managing artificial intelligence agents within an enterprise computing environment. The system can include an agent subsystem having a control agent configured to receive source data from one or more data sources of the enterprise, continuously monitor the source data for an occurrence of a trigger event indicative of a condition requiring an AI based intervention, detect the trigger event, evaluate the trigger event to identify a relevant operational context, and then based on the trigger event and the operational context, select and deploy the plurality of AI agents from a total set of AI agents to address the trigger event by performing an AI-based intervention.