Digital Toolkit
Digital Toolkit
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Chapters
1
Realising Scale
1.1
Introducing mobile big data
1.1
The AI for Impact Initiative
1.2
AI for Impact Operator Task Force & Advisory Panel
1.3
Moving to Scale
1.4
Demonstrating Impact
1.5
Mobile Big Data Solutions for a Better Future Report
2
The Ecosystem
2.1
Introduction
2.1
Ecosystem participants & roles
2.2
Ecosystem participants applied scenario 1
2.3
Ecosystem participants applied scenario 2
2.4
AI for Impact implementation - Key considerations
3
Technical Considerations
3.1
Introduction
3.1
What is Big Data?
3.2
From mobile data to actionable insights
3.3
Technical Considerations Paper
4
Policy and Regulation
4.1
Introduction
4.1
Mobile Privacy and Analytics
5
Sustainable Business Models
6
Case Study Portfolio
6.1
Introduction
6.1
Responding quickly and effectively to earthquakes and other natural disasters in Japan
6.2
Harnessing mobile big data to identify tuberculosis hotspots in India
6.3
Predicting air pollution levels 24 to 48 hours in advance in São Paulo, Brazil
6.4
Building communities resilient to climatic extremes
6.5
Delivering time-sensitive analytics in the midst of natural disasters
7
Covid-19 Response
7.1
Introduction
7.2
Global Insights
7.3
Privacy and Ethics
7.4
Covid-19 Resources
8
AI Ethics
8.1
AI Ethics
8.1
AI Ethics Introduction
8.2
AI Ethical Principles
8.3
Governance model for Ethical AI
8.4
Operating Processes and Implementation Tools
8.5
Recommendations
9
Frequently Asked Questions
10
Conclusions
Home
Technical Considerations
What is Big Data?
What is Big Data?
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Introduction
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From mobile data to actionable insights
