Abstract: Various embodiments of the present disclosure provide federated query processing techniques for quality evaluation and augmentation of data provided by a federated query system. The techniques include receiving an execution plan for a federated query. The techniques also include receiving one or more data segments from a plurality of third-party data sources and receiving quality evaluation data using a set of data accessing tasks for the execution plan. The techniques also include generating a result set for the federated query using a set of data processing tasks for the execution plan. Additionally, the techniques include generating quality metrics data for the one or more data segments based on the quality evaluation data and generating an augmented result set for the federated query based on the result set and the quality metrics data.

Abstract: Various embodiments of the present disclosure provide prompt engineering and text quality assessment techniques for improving generative text outputs. The techniques may include identifying an initial document subset for a generative text request that includes a request to generate a generative text document based on one or more request text fields. The techniques may include generating a contextual classification for the one or more request text fields and identifying a refined document subset based on the contextual classification. The techniques may include generating one or more request field embeddings respectively corresponding to the one or more request text fields and identifying a prompt document subset based on the one or more request field embeddings. The techniques may include generating, using a large language model, one or more generative text fields using a generative model prompt based on the prompt document subset and the one or more request text fields.

Abstract: An analytics platform and architecture is disclosed that improves the capture, extraction, and reporting of data required for certain measures, provides real-time data surveillance, dashboards, tracking lists, and alerts for specific, high-priority data, and offers dynamic, ad-hoc reporting capabilities. The platform includes a data extraction facility that gathers data from numerous sources, a data mapping facility that identifies and maps key data elements and links data over time, a data normalization facility to normalize the data and, optionally, de-identify the data, a flexible data warehouse for storing raw data or longitudinal data, an analytics facility for data mining, analytic model building, risk identification, benchmarking and tracking. The improved platform and architecture integrates social networking technology and analysis (SNA) on data to cluster data for more efficient, technically improved and focused processing.

Abstract: An analytics platform and architecture is disclosed that improves the capture, extraction, and reporting of data required for certain measures, provides real-time data surveillance, dashboards, tracking lists, and alerts for specific, high-priority data, and offers dynamic, ad-hoc reporting capabilities. The platform includes a data extraction facility that gathers data from numerous sources, a data mapping facility that identifies and maps key data elements and links data over time, a data normalization facility to normalize the data and, optionally, de-identify the data, a flexible data warehouse for storing raw data or longitudinal data, an analytics facility for data mining, analytic model building, risk identification, benchmarking and tracking. The improved platform and architecture integrates social networking technology and analysis (SNA) on data to cluster data for more efficient, technically improved and focused processing.