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An African Solution to the Digital Skills Gap: Preparing for the Future of Work in Emerging Markets
With the rise of artificial intelligence, machine learning and cloud computing, the nature of work is transforming. But while many focus on the possible downsides of these changes, like AI-fueled job loss, Becky Santora at Digital Divide Data points out some upsides as well. She explores the new technical and analytical skills necessary in the work of the future – and how emerging markets workers can prepare themselves.
- Categories
- Technology
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Experts Tout Benefits of AI, Machine Learning in Global Health Crisis
From helping doctors make diagnostic decisions to preventing disease outbreaks, artificial intelligence (AI) brings excitement in improving global health while posing serious privacy concerns, experts have said.
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- Health Care, Technology
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Facebook’s AI Team Maps the Whole Population of Africa
“The maps from Facebook ensure we focus our volunteers’ time and resources on the places they’re most needed, improving the efficacy of our programs,” said Tyler Radford, executive director of the Humanitarian OpenStreetMap Team, one of the project’s partners.
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- Technology
- Region
- Sub-Saharan Africa
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Don’t Fear the Algorithm: The Risks and Benefits Of Machine Learning in Finance
Billions of people around the world lack access to basic financial services, and far too many promising entrepreneurs are deprived of financial opportunities simply because they don’t have a credit history. As JUMO founder and CEO Andrew Watkins-Ball sees it, this lack of access is fundamentally a technology problem – and machine learning can help solve it. But algorithm-assisted banking is not without risks: Watkins-Ball discusses its benefits and downsides, and how it's powering JUMO's work in Africa and Asia.
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- Finance, Technology
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Machine Learning in PAYGo: What You Need to Know Before You Jump In
Machine learning is an exciting technology with plenty of potential applications in social impact business. But as Jacob Winiecki at BFA points out, the hype around the approach may make it tempting to jump in without first determining if it's the right tool for the job. He offers a clear run-down of how machine learning actually works in practice, along with three concrete steps for how a PAYGo enterprise can implement the technology, based on the work BFA’s FIBR Project has done with ZOLA, a leading PAYGo solar operator in Africa.
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- Energy, Finance, Technology
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The Future of Work is Coming: MIT Seeks Tech Solutions to Adapt to the Impending Transformation
High-tech innovations like artificial intelligence, automation and the cloud are dramatically changing the nature of work. Some believe these changes will lead to massive job losses, while others imagine a future with plentiful and satisfying careers in industries we’ve yet to imagine. MIT’s Solve initiative is looking for solutions that ensure that no one is left behind by technology. Hala Hanna encourages innovators and entrepreneurs to enter Solve’s Work of the Future Challenge, which is open until July 1.
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- Entrepreneurship, Technology
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Inclusive Fintech: Four Lessons for Optimizing Customer and Tech Journeys
Catalyst Fund – a unique accelerator model that provides direct and tailored technical assistance to complement a startup’s skill sets – spent the past year working directly with early-stage fintech businesses in emerging markets. Here are some of the lessons they gathered, both on the tech side and the customer side. A key takeaway: Trust is slowly built but easily destroyed.
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- Finance, Technology
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Machine Learning Meets Credit Scoring: How it Can Help Reduce Loan Delinquency Costs
Investment in predictive algorithms for credit scoring is a no-brainer for sophisticated digital financial service providers. Brick-and-mortar financial institutions that are just beginning to explore technology applications should follow suit, according to BFA, because credit scoring optimizes three business layers that improve the overall bottom line.
- Categories
- Finance
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