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RegTech for Regulators: Reimagining Financial Supervision and Policymaking
The authors – representing BFA, USAID, the Gates Foundation and Omidyar Network – say tomorrow's financial customers and service providers will be able to leverage technology to engage in a real-time, two-way conversation to quickly obtain information and resolve problems, benefitting consumers, regulators and financial institutions alike.
- Categories
- Finance, Technology
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Unlocking the Power of Digital Financial Services for Humanitarian Response
More people worldwide are in crisis than ever before and the humanitarian sector is transforming how it responds to them; it's moving away from a commodities-based approach toward cash-based assistance. Digitizing these cash payments can help build bridges between the humanitarian and development sectors, but progress has been slow. What can speed it up? A new report by the Bill & Melinda Gates Foundation might help.
- Categories
- Finance, Technology
- Tags
- data, digital finance, fintech
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Fewer Than 50 Percent of Global Consumers Trust Businesses to Protect Their Financial and Payments Data
Consumers across the globe are more concerned with protecting their financial and payments information stored on a computer than they are with protecting this data when stored on a mobile wallet, according to new benchmark data, "Global Consumer Survey: Consumer Trust and Security Perceptions," from ACI Worldwide (NASDAQ: ACIW) and Aite Group. The global fraud study of more than 6,000 consumers across 20 countries revealed that only 43 percent of global consumers trust businesses, including restaurants and merchants, to protect their financial data -- while surprisingly, more than 80 percent of global consumers generally believe their mobile wallet data is secure.
- Categories
- Technology
- Tags
- data, digital payments, fintech
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Client Outcomes Data in Microfinance: Few Have It But Everybody Needs It
Many recent studies have found that microfinance has no impact, or minimal positive impact, on clients’ lives. To find out why and to fix the problem, financial service providers need client outcomes data, but few FSPs collect it because they think it would be too expensive and time-consuming. Turns out, according to the SPTF Outcomes Working Group, it's not.
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- Uncategorized
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How Philips is using AI to transform healthcare
Data scientists have begun betting on the use of machine learning, deep learning, Big Data and artificial intelligence (AI) technologies to help in the early detection of diseases and advance healthcare. Leading the way on the road to healthcare analytics are the world’s five largest medical device companies—Johnson & Johnson, GE Healthcare, Siemens, Medtronic and Philips Healthcare.
- Categories
- Health Care
- Region
- South Asia
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Tanzania: Helpage Devises Health Monitoring Tools for Elderly
Helpage International has come up with Health Outcome Tools (HOT) in data collection for health and care indicators, especially in assessing the impact of interventions for older persons' health and wellbeing. HelpAge International Country Director, Amleset Tewodros, said HOT is a monitoring and evaluation tool developed for understanding projects or programmes that aim to benefit older men and women in low middle income countries.
- Categories
- Health Care
- Region
- Sub-Saharan Africa
- Tags
- data, public health
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Biocon to partner with govt for better rural health facilities
In an attempt to build a scalable healthcare model that'll make affordable healthcare accessible to rural communities, the state department of medical, health and family welfare signed a memorandum of understanding (MoU) with Biocon Foundation, the CSR arm of the pharmaceutical company headed by Kiran Mazumdar-Shaw to establish eLAJ smart clinics in 15 primary healthcare centres (PHC s) across six districts in Karnataka.
- Categories
- Health Care, Technology
- Region
- South Asia
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The Fourth Industrial Revolution: How Big Data and Machine Learning Can Boost Inclusive Fintech
It's easier and cheaper to generate data than ever before, and the tools to turn data into insights are growing exponentially. So much so, according to Matt Grasser of BFA, that any organization dealing with data that does not apply machine learning will be left behind. He explores the experiences of Destacame.cl, a fintech startup, in using machine learning to help identify good and bad payers based on a score.
- Categories
- Finance, Technology