NASA National Aeronautics and Space Administration 282 National Aeronautics and Space Administration Deployed: 13 (4.6%)National Aeronautics and Space Administration Pilot: 11 (3.9%)National Aeronautics and Space Administration Pre-deployment: 258 (91.5%)
13 0 Classical / predictive ML 0 9% 62% DOI Department of the Interior 170 Department of the Interior Deployed: 31 (18.2%)Department of the Interior Pilot: 63 (37.1%)Department of the Interior Pre-deployment: 76 (44.7%)
31 0 Classical / predictive ML 0 64% 93% DOE Department of Energy 93 Department of Energy Deployed: 13 (14.0%)Department of Energy Pilot: 10 (10.8%)Department of Energy Pre-deployment: 70 (75.3%)
13 7 Classical / predictive ML 0 31% 72% HHS Department of Health and Human Services 87 Department of Health and Human Services Deployed: 46 (52.9%)Department of Health and Human Services Pilot: 12 (13.8%)Department of Health and Human Services Pre-deployment: 29 (33.3%)
46 1 Classical / predictive ML 0 67% 86% USDA Department of Agriculture 77 Department of Agriculture Deployed: 21 (27.3%)Department of Agriculture Pilot: 33 (42.9%)Department of Agriculture Pre-deployment: 23 (29.9%)
21 3 Classical / predictive ML 0 75% 90% DOJ Department of Justice 76 Department of Justice Deployed: 40 (52.6%)Department of Justice Pilot: 5 (6.6%)Department of Justice Pre-deployment: 31 (40.8%)
40 9 Classical / predictive ML 0 59% 83% VA Department of Veterans Affairs 76 Department of Veterans Affairs Deployed: 36 (47.4%)Department of Veterans Affairs Pilot: 6 (7.9%)Department of Veterans Affairs Pre-deployment: 34 (44.7%)
36 52 Classical / predictive ML 0 55% 68% DHS Department of Homeland Security 45 Department of Homeland Security Deployed: 29 (64.4%)Department of Homeland Security Pilot: 1 (2.2%)Department of Homeland Security Pre-deployment: 15 (33.3%)
29 1 Classical / predictive ML 0 67% 86% FRB Federal Reserve Board 16 Federal Reserve Board Deployed: 5 (31.3%)Federal Reserve Board Pilot: 4 (25.0%)Federal Reserve Board Pre-deployment: 7 (43.8%)
5 0 Classical / predictive ML 0 56% 82% TREAS Department of the Treasury 16 Department of the Treasury Deployed: 9 (56.3%)Department of the Treasury Pilot: 3 (18.8%)Department of the Treasury Pre-deployment: 4 (25.0%)
9 0 Classical / predictive ML 0 75% 90% FDIC Federal Deposit Insurance Corporation 15 Federal Deposit Insurance Corporation Deployed: 4 (26.7%)Federal Deposit Insurance Corporation Pilot: 1 (6.7%)Federal Deposit Insurance Corporation Pre-deployment: 10 (66.7%)
4 1 Classical / predictive ML 0 33% 72% SEC Securities and Exchange Commission 14 Securities and Exchange Commission Deployed: 7 (50.0%)Securities and Exchange Commission Pre-deployment: 7 (50.0%)
7 0 Classical / predictive ML 0 50% 79% DOL Department of Labor 14 Department of Labor Deployed: 12 (85.7%)Department of Labor Pilot: 1 (7.1%)Department of Labor Pre-deployment: 1 (7.1%)
12 0 Classical / predictive ML 0 100% 100% EPA Environmental Protection Agency 10 Environmental Protection Agency Deployed: 5 (50.0%)Environmental Protection Agency Pre-deployment: 5 (50.0%)
5 1 Classical / predictive ML 0 50% 79% FHFA Federal Housing Finance Agency 8 Federal Housing Finance Agency Deployed: 8 (100.0%)
8 0 Classical / predictive ML 0 100% 100% GSA General Services Administration 6 General Services Administration Deployed: 2 (33.3%)General Services Administration Pre-deployment: 4 (66.7%)
2 0 Classical / predictive ML 0 0% 33% NCUA National Credit Union Administration 6 National Credit Union Administration Deployed: 6 (100.0%)
6 5 Classical / predictive ML 0 50% 85% SSA Social Security Administration 6 Social Security Administration Deployed: 6 (100.0%)
6 0 Classical / predictive ML 0 100% 100% DOT Department of Transportation 5 Department of Transportation Deployed: 1 (20.0%)Department of Transportation Pre-deployment: 4 (80.0%)
1 0 Classical / predictive ML 0 60% 72% STATE Department of State 5 Department of State Deployed: 2 (40.0%)Department of State Pilot: 1 (20.0%)Department of State Pre-deployment: 2 (40.0%)
2 0 Classical / predictive ML 0 60% 83% NIGC National Indian Gaming Commission 4 National Indian Gaming Commission Deployed: 4 (100.0%)
4 0 Classical / predictive ML 0 100% 92% FTC Federal Trade Commission 4 Federal Trade Commission Deployed: 3 (75.0%)Federal Trade Commission Retired: 1 (25.0%)
3 0 Classical / predictive ML 0 100% 100% HUD Department of Housing and Urban Development 2 Department of Housing and Urban Development Deployed: 2 (100.0%)
2 0 Classical / predictive ML 0 100% 100% NEA National Endowment for the Arts 1 National Endowment for the Arts Pre-deployment: 1 (100.0%)
0 0 Classical / predictive ML 0 0% 58%