The Data Science of Cross-Border Connectivity
Ten years from now the world will have shifted in response to a massive population (''the Next Billion Users'') moving online and using technology in ways that are new both to themselves and to technology providers. The success of that shift will be determined by whether we can build technology that learns from users and adapts to them (rather than expecting the opposite). Dealing with the continuing relevance of borders and local conditions is a crucial tech challenge and is core to my work at DT One, an API platform that interconnects more than 550 mobile operators across 160 countries.
This talk will present insights into modeling how families stay connected and transfer value across multiple international corridors. How user behaviour differs across many different end-user segments (e.g. foreign construction workers in the Gulf and African migrants in Europe). Statistically identifying macro-economic and policy events in transaction data (e.g. sudden immigration restrictions or currency devaluations), and building predictive models for user-engagement.