Theme: Big Data for Digital/Financial Inclusion
Innovating for the next billions requires a different analytical mindset and engagement approaches. The drive towards the achievement of the millennium development goals requires a need-based deployment of machine learning and artificial intelligence methodologies in ways that address fundamental socio-economic issues with significant local content.
Big Data is not an end in itself but a mean to solving complex social puzzles; demystifying underlying behavioural drivers buried in unstructured data, identifying multi-attribute alternative data when traditional data are absent, articulating the non-obvious insight due to digital divide or illiteracy and simplifying engagement channels in the natural language of the target audience via speech-based chatbots and USSD interface. This is the path to achieving Prof C.K. Prahalad’s 4As of penetrating the bottom of the pyramid (Awareness, Access, Affordability and Availability) and the Niti Bhan’s 5Ds (Development, Design, Demand, Distribution and Dignity) of integrating the socially excluded.
2018 is therefore dedicated to an exploration into the world of the underserved, unserved, digi-phobias, digital aliens, thin-file invisible customers and the over 50% in the critical mass through an intelligent use of machine learning and big data (structured, unstructured, audio, video or text).