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 Energy19DOI · Department of the Interior16USDA · Department of Agriculture8EPA · Environmental Protection Agency1

Stage

Deployed8Pilot6Pre-deployment30

High-impact

High-impact2Presumed high-impact, determined not2Not high-impact40

Topic1

AI type1

Sourcing

Developed in-house10Contract and in-house5Purchased from vendor1Not reported28

Vendor

Google1

Function

Image and video analysis6Forecasting and prediction5Clinical and medical1

Start year

FromTo

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

AI type: Classical / predictive MLmonitoring: blankTopic: Energy and the Environment

Agency × Development stage

44 records

	Deployed	Pilot	Pre-deployment	Total
DOE	2	1	16	19
DOI	1	3	12	16
USDA	4	2	2	8
EPA	1			1
Total	8	6	30	44

Core fields, current filter

Field	Filled	Missing	Filled %
Stage	44	0	100%
High-impact designation	44	0	100%
Topic area	44	0	100%
AI classification	44	0	100%
Problem	44	0	100%
Benefits	44	0	100%
Outputs	44	0	100%
Sourcing	16	28	36%
Start date	14	30	32%
ATO	26	18	59%
PII	26	18	59%
Custom code	26	18	59%

Current filter

Records	44
Agencies	4
Records per agency: median	8
Records per agency: largest	19
Deployed share	18.2%
High-impact share (of designated)	4.5%
Mean core-field completeness	79%
Records with a parseable start date	31.8%

Shares use each agency's own record count

Agency	Records	Deployed %	Pilot %	High-impact	Generative %	In-house (of reported)	Completeness
DOE	19	11%	5%	2	0%	100%	65%
DOI	16	6%	19%	0	0%	83%	89%
USDA	8	50%	25%	0	0%	100%	90%
EPA	1	100%	0%	0	0%	100%	100%