82% of use cases are tagged Service Delivery or Data Analysis, the two most common classifications.
Service Delivery
293
Data Analysis
281
Access & Communication
191
Monitoring & Evaluation
185
Knowledge & Research
123
Infrastructure & Enablement
84
Content Creation
71
Operations & Project Management
43
UNIQUE USE CASES
Health & Nutrition
191
Education
124
Climate & Environment
114
Social Protection & Inclusion
68
Agriculture & Food Systems
47
Governance
42
Livelihoods & Economic Opportunity
39
Humanitarian & Disaster Response
35
Justice & Legal Systems
23
Domain-agnostic
11
Low
High
In 9 of 10 sectors the leading AI technology is foundation models; in 2 it is classical ML and statistical methods.
Foundation models
391
Classical ML and statistical methods
276
Bespoke deep learning
190
Symbolic, optimisation and decision methods
50
UNIQUE USE CASES
Health & Nutrition
121
102
58
22
191
Education
108
47
29
9
124
Climate & Environment
52
79
53
11
114
Social Protection & Inclusion
59
21
27
3
68
Agriculture & Food Systems
30
29
22
3
47
Governance
35
24
18
2
42
Livelihoods & Economic Opportunity
33
16
9
4
39
Humanitarian & Disaster Response
21
21
18
3
35
Justice & Legal Systems
19
5
1
2
23
Domain-agnostic
9
1
2
2
11
Leading AI technology for each sector
Definitions
Foundation models
391
Very large pre-trained models directed by describing the task in words.
Classical ML and statistical methods
276
Statistical models fitted to rows-and-columns data.
Bespoke deep learning
190
Neural networks trained or adapted by the team for one narrow task.
Symbolic, optimisation and decision methods
50
Decisions from stated rules, objectives and constraints rather than learned patterns.
45% of use cases need a custom build and a cross-functional team, while 5% can be generalist-led with no coding.
Humanitarian & Disaster Response
35
Governance
42
Justice & Legal Systems
23
Climate & Environment
114
Education
124
Social Protection & Inclusion
68
Domain-agnostic
11
Livelihoods & Economic Opportunity
39
Health & Nutrition
191
Agriculture & Food Systems
47
Definitions
High
254 · 45%
Requires a custom build and significant cross-functional internal team capacity (data scientists, engineers, program staff, ethics/compliance officers, etc.).
Medium
117 · 21%
Deploys turnkey solutions with some customization/fine tuning (at least 1 ML engineer, data scientist and back/front end development).
Low
31 · 5%
No coding required, and can be led by a generalist.
Not specified
162 · 29%
Not recorded for this use case.
59% are deployed and running. The rest are still in the ideation or pilot phase.
Health & Nutrition
191
Education
124
Climate & Environment
114
Social Protection & Inclusion
68
Agriculture & Food Systems
47
Governance
42
Livelihoods & Economic Opportunity
39
Humanitarian & Disaster Response
35
Justice & Legal Systems
23
Domain-agnostic
11
Ideation
Pilot
Deployed
Discontinued
129 use cases are openly available; and the top 3 sectors account for 67%. Click any sector to break it down by AI technology.
Open source
Source available
PROPRIETARY AND UNSTATED LICENCES NOT SHOWN