Data Explorer

Data explorer

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

Agency

DOI · Department of the Interior26DOE · Department of Energy3

Stage

Deployed11Pilot6Pre-deployment12

High-impact

Not high-impact29

Topic

AI type1

Generative AI3Classical / predictive ML29Natural language processing4Computer vision4

Sourcing

Developed in-house21Not reported8

Vendor

No options match.

Function

Image and video analysis4Forecasting and prediction2Procurement and acquisition1Translation and transcription1

Start year

FromTo

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

AI type: Classical / predictive MLimpact_assessment: blankmonitoring: affirmative

	Deployed	Pilot	Pre-deployment	Total
DOI	8	6	12	26
DOE	3			3
Total	11	6	12	29

Missing-data analysis

Core fields, current filter

Field	Filled	Missing	Filled %
Stage	29	0	100%
High-impact designation	29	0	100%
Topic area	29	0	100%
AI classification	29	0	100%
Problem	29	0	100%
Benefits	29	0	100%
Outputs	29	0	100%
Sourcing	21	8	72%
Start date	17	12	59%
ATO	29	0	100%
PII	29	0	100%
Custom code	29	0	100%

Current filter

Records	29
Agencies	2
Records per agency: median	3
Records per agency: largest	26
Deployed share	37.9%
High-impact share (of designated)	0.0%
Mean core-field completeness	94%
Records with a parseable start date	58.6%

Shares use each agency's own record count

Agency	Records	Deployed %	Pilot %	High-impact	Generative %	In-house (of reported)	Completeness
DOI	26	31%	23%	0	0%	100%	94%
DOE	3	100%	0%	0	0%	100%	100%