Digital Toolkit
Digital Toolkit
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Chapters
1
The Impact
1.0
Introduction
1.1
The AI for Impact Initiative
1.2
AI for Impact Operator Task Force and Advisory Partners
1.3
Demonstrating a positive impact
1.4
Driving scale
1.5
Sustainable business models
2
The Ecosystem
2.0
Introduction
2.1
Ecosystem participants: From the need to impact
2.2
Ecosystem participants applied scenarios 1
2.3
Ecosystem participants applied scenarios 2
2.4
AI for Impact implementation process
3
Technical Considerations
3.1
Introduction
3.1
What is Big Data?
3.2
The synergy of big data and AI
3.3
Technical Considerations Paper for mobile big data
4
Policy and Regulation
4.0
Introduction
4.1
Mobile privacy and analytics
4.2
Mobile security and cybersecurity
5
Responsible AI by design
5.0
Introduction
5.1
Responsible AI roadmap
5.2
AI Ethical principles
5.3
Governance model for ethical AI
5.4
Tools and processes
5.5
Recommendations
6
Case Study Portfolio
6.0
Introduction
6.1
Responding quickly and effectively to earthquakes and other natural disasters in Japan
6.2
Fighting the Covid-19 pandemic globally
6.3
Saving carbon emissions with the Green Radio project
6.4
Cities infrastructure planning contributing to reduced carbon emissions
6.5
Using AI and IOT to improve air quality in cities
6.6
Combining AI and MBD for flood detections in Indonesia
7
Frequently Asked Questions
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Technical Considerations
What is Big Data?
What is Big Data?
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Introduction
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The synergy of big data and AI
