Abstract: A computer-implemented method for automatically managing applications in environments using AI driven autonomic application management framework is disclosed.

Abstract: A method and system for creating an industry specific master data. The method includes receiving data files from a user. The method further includes automatically cleaning the data files by removing garbage data, junk characters, missing data, and non-printable characters to obtain clean data. Further, creating an industry specific dictionary from the clean data. The industry specific dictionary is enriched upon determining relationships between keywords present in the clean data. The method further includes mapping the keywords present in the industry specific dictionary with external data sources to obtain mapped data using Deep Learning techniques. Further, determining common rows present across the clean data and the mapped data. The common rows are determined by data tables present in the clean data and the mapped data. Finally, creating industry specific master data upon merging unique columns present in the data tables.

Abstract: The present invention is a tool for managing spend analysis, reverse auctions, sourcing, contracts, procure-to-pay processes, requests for proposals, supplier assessment and settlement processes. It employs hardware architecture and a software framework to provide a platform as a service that allows the user to create, store, report and manage bids, requests for proposals, contracts, bid data, spend analysis, and supplier scoring information from any of a number of mobile devices of various form factors.