Predictable & Frictionless Mobile Application Delivery for the Next 6 Billion Consumers
Lot of talks have been going around to build solutions for the last billion consumers or soluions for consumers in the emerging markets. Most of the ideas that go around is to replicate the solutions that have been developed in the west to countries like India/China etc. Emering Economy nations have a different set of challenges. For example: a mHealth Telemetry model which could work very well in the US, will not work in India. There are lot of constraints like lack of connectivity, low end devices, semi-literate users etc. The primary intention of the talk is to share our experiences from award winning solutions (2014 - EyeConnect & 2016 GPower won the Vodafone Mobile for Good Award), the technology choices, the process that we had followed to engineer a predictable mobile application delivery that could work very well in the field without any surprises, with all the constraints that are native to developing nations. The talk would also highlight about the use of novel solutions IoT, Block Chain Technology, Connected Internet and the ways of utilizing BaaS & APaaS platform for rapid application development.
Will provide citations from the IEEE papers that we had authored in the field of Healthcare & Agriculture.
Paper 1 Link (http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=6970287): Practical Challenges for Large Scale Deployment of mHealth Solution: Insights from a Field Trial
Paper 2 Link: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=7145199: Connected Vision Care for Eradication of Preventible Blindness
Paper 3 Link: http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=7374955&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D7374955 Last-mile wireless connected crop solution for smallholder farmers
- The 6 Billion Consumer Market: Opportunities, Challenges & Constraints
- Resolving the Constraints through Technology: Our on-field Experience
- Process for Predictable & Frictionless Mobile Application Delivery with utmost importance to Security, embedded in the SDLC Process for the New IT Delivery
- Covering Intelligence at the Edge (Porting CLIPS rule engine to Android) & results
- How to validate complex use case including IoT, Blockchain & Connected Internet use cases frugally with the semi-literate (actual) users of the system
- Open challenges
Senthil Kumaresan is a R&D Technologist at Accenture Technology Labs. He has nine years of experience in enabling novel IT solutions (SMAC, IoT and machine learning based systems) and architected multiple award winning solutions in the process. His current research focus is to build technology solutions that could work under constrained environments prevalent in emerging economies for larger societal impact. He has also published multiple technical papers and is holding multiple patents in the mobile application areas. He has a Bachelor’s degree in Engineering from Amrita Institute of Technology, Coimbatore, India.