SBIR/STTR Award attributes
The Air Force manages thousands of contracts for aircraft and aircraft parts but lacks a consistent method for surveillance of data due the Air Force as part of contract performance. Management of data rights assertions has been a long-standing challenge for the Air Force and across the DoD. Advanced machine learning can be leveraged to automate verification of accurate and compliant data rights assertion tables, map assertions to planned activities from Integrated Master Plans (IMPs)/Integrated Master Schedules (IMSs) and automate monitoring of actual receipt of data owed the government. For this Phase I SBIR, ILW will work with AFLCMC/LZIA, AFSC/JA, AFLCMC/WLZ, and AFLCMC/WIGE to perform feasibility and discovery on applying Machine Learning, Natural Language Processing, and computer vision techniques to validate data rights assertions conformity, verify the accuracy of technical drawing markings, and explore the potential to link the assertions to IMP/IMS tasks.
