How financial inclusion could be driven using Artificial Intelligence
Artificial
Intelligence tools are rapidly changing how financial institutions operate,
manage data, and interact with customers. The revolution brought by the AI – a
blend of three advanced technologies: machine learning, natural language
processing and cognitive computing – has huge implications for the financial
services industry in Nigeria.
According to
Microsoft Nigeria Country Manager, Mr Akin Banuso, with the use of modern tools
like Microsoft’s Azure Machine Learning platform, Financial Service Providers
can crunch large volumes of data faster and more accurately, which considerably
lessens time-to-market to deliver products and services.
“The AI has
the potential to advance nearly every field of human endeavour and address
countless societal challenges. This is why we are investing in not only making
the technology more accessible, but also building capacity in the use of
machine learning concepts to address analytical gaps in financial inclusion and
other areas,” Banuso says.
To build
this capacity, the 4Afrika Initiative has since 2013 been aggressively
upskilling the African developer community in their use of modern technologies.
Through its 16 AppFactory academies (including two in Nigeria), Interns4Afrika,
MySkills4Afrika, Microsoft Virtual Academy and AI PopUp Lab programmes, it is
pairing developers with technical experts to gain skills in AI, cloud
computing, secure coding, machine learning, bot framework and data analytics –
and encouraging them to innovate in fields such as financial services.
Expanding
further on the features of Microsoft’s portfolio of the AI tools and services,
Banuso says that one of the challenges of FSPs is how to capture the unbanked
population in the informal sector, as they usually do not have formal
identifiers.
A survey
conducted by our correspondent has shown that the AI platform, Azure, will help
Nigeria achieve its goal of reducing the financial exclusion rate to 20 per
cent by 2020.
With the AI
and machine learning capabilities offered by Microsoft Azure, the FSPs could
use facial recognition algorithms to eliminate duplication of persons.
Similarly, FSPs can rewrite credit-scoring algorithms to better capture current
realities based on observed customer patterns through the platform.
“The AI
makes it possible to circumvent traditional challenges with on-boarding the
unserved and underserved population,” he adds.
Recently, a
Data Science Nigeria financial inclusion summit in Lagos featured face-to-face
teaching, virtual online classes, and a hands-on hackathon using the Kaggle.com
platform. Distinguished data scientists from leading research and academic
institutions from the United States of America, the United Kingdom and South Africa facilitated the sessions.
The
initiative was driven by a broader strategic intent to accelerate Nigeria’s
development through a solutions-oriented approach to using machine learning to
solve both social and business problems, while also encouraging skills
development in the field of data science and AI. This in turn will increase
employability, foster technological innovation and promote sustainable
socio-economic development in Nigeria. This is reinforced by the DSN’s vision
to create one million new jobs in the next 10 years through world-class
knowledge and best-practice application.
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