The AI for Impact digital toolkit is a comprehensive guide to the components required to implement mobile data-driven solutions. The key findings have been summarised under four themes, and serve as a summary of the most important learnings from the work undertaken to date.


A key success factor in AI for Impact projects is the proactive collaboration of mobile operators, government agencies and UN partners. Stakeholders must work together from inception to solution development and implementation.

Find out more in the interactive Ecosystem section

Technical Considerations

Mobile data driven solutions require expert knowledge from mobile operators to process, analyse and package data in a form that can be used to address a specific Social Good problem. This transformation of mobile data into actionable insight requires in-depth knowledge of mobile networks and robust, secure processes.

See, hear and read more in the Technical Considerations section

Policy and Regulation

Being a custodian of mobile big data is a responsibility the mobile industry takes very seriously. Protecting privacy remains at the core of Big Data developments - hence the mobile industry is committed to the responsible use of data, and to implementing appropriate privacy and ethics policies.

Explore the considerations and the principles that underpin them in the Policy and Regulation section

Sustainable Business Model

Sustainability must be embedded into an AI for Impact implementation. Discussion of the target business model should start early, to support a smooth transition from successful one-off project to an ongoing service. Agreement needs to be reached by all stakeholders to ensure their ability to commit for the long term and at the scale that delivers the desired impact.

Read about the research and recommendations in the Sustainable Business Models section

Contact us

If you are interested in starting an AI for Impact initiative or learning more about the GSMA initiative, please contact the team at

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