Data Explorer · Federal AI Intelligence

Data explorer

Cross-tabulate any two fields, check what is missing, and summarise groups. Every cell links to the records behind it.

Agency

DOE · Department of Energy5NASA · National Aeronautics and Space Administration4DOI · Department of the Interior1SEC · Securities and Exchange Commission1VA · Department of Veterans Affairs1

Stage

Deployed5Pilot2Pre-deployment5

High-impact

Not high-impact12

Topic

AI type1

Sourcing

Developed in-house4Contract and in-house2Purchased from vendor1Not reported5

Vendor

Microsoft1Skillsoft1

Function

Chatbot or virtual assistant1Forecasting and prediction1Search and knowledge retrieval1Translation and transcription1

Start year

FromTo

Only records with a parseable start date match a year filter.

AI type: Reinforcement learningtesting: blank

Agency × Development stage

12 records

	Deployed	Pilot	Pre-deployment	Total
DOE	4		1	5
NASA		2	2	4
DOI			1	1
SEC	1			1
VA			1	1
Total	5	2	5	12

Missing-data analysis

Core fields, current filter

Field	Filled	Missing	Filled %
Stage	12	0	100%
High-impact designation	12	0	100%
Topic area	12	0	100%
AI classification	12	0	100%
Problem	12	0	100%
Benefits	12	0	100%
Outputs	12	0	100%
Sourcing	7	5	58%
Start date	6	6	50%
ATO	9	3	75%
PII	9	3	75%
Custom code	9	3	75%

Descriptive statistics

Current filter

Records	12
Agencies	5
Records per agency: median	1
Records per agency: largest	5
Deployed share	41.7%
High-impact share (of designated)	0.0%
Mean core-field completeness	86%
Records with a parseable start date	50.0%

Grouped summary by agency

Shares use each agency's own record count

Agency	Records	Deployed %	Pilot %	Generative %	In-house (of reported)	Completeness
DOE	5	80%	0%	0%	75%	97%
NASA	4	0%	50%	0%	100%	77%
SEC	1	100%	0%	0%	100%	100%
VA	1	0%	0%	0%	n/a	58%
DOI	1	0%	0%	0%	n/a	83%