Machine learning models for automated sustainability data source ingestion and processing
AssigneeSustainli Inc.
InventorShahla Hebets
Life of this patent
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AssigneeSustainli Inc.
InventorShahla Hebets
Estimating the term…
A computerized method for automated sustainability data source ingestion and processing includes searching multiple data sources according to specified data ingestion criteria to obtain sustainability data associated with at least one target entity, and supplying the target entity and the obtained sustainability data to a machine learning model to generate a sustainability data source valuation output for each of the multiple data sources. The method includes determining, for each of multiple categories and subcategories, a valuation score based at least in part on one or more of the sustainability data source valuation outputs, and an entity sustainability score based at least in part on one or more of the valuation scores. The method includes determining an overall entity sustainability score associated with the at least one target entity according to the determined entity sustainability scores for the multiple categories and subcategories.
A computer system comprising:
A computerized method for automated sustainability data source ingestion and processing, the method comprising:
Dependencies are inferred from the claim text.