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
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 pilot to a production solution. 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
If you are interested in starting an AI for Impact project or learning more about the GSMA initiative, please contact the team at email@example.com