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Report
Remita: AI adoption critical to Nigeria's fintech growth
Guardian Nigeria
Follow
1/28/2025
Category
🗞
News
Transcript
Display full video transcript
00:00
Now, a report by Remeter says urgent action is needed by Nigerian fintech companies to
00:06
stay ahead of the rapid evolution of artificial intelligence, and the report highlights the
00:10
role of the AI plays in Nigeria's fintech growth.
00:14
Now, with over 40% of Nigerians still unbanked, the report notes that Nigeria's digital economy
00:19
stands to gain immensely from AI adoption.
00:22
Deremi Atonda, Managing Director of Remeter, joins me to unpack this report.
00:27
Thank you so much.
00:28
It's a pleasure to have you on the show with us today.
00:32
Yes, I am.
00:33
Nice to be here.
00:34
Quite an exhaustive, very robust report, but we've seen AI reshaping the global financial
00:40
services landscape, and of course, Nigeria is part of that, but challenges, risks, and
00:46
opportunities.
00:47
But talk to us about where we are now here, where we are at this moment, 2025, with artificial
00:53
adoption and what we should be doing as a nation.
00:58
Thank you very much, Esther.
00:59
It's a pleasure to always feel the pulse of the West African and African economy at the
01:04
end of the day on this program.
01:07
Speaking to the issues, for us at Remeter, we've been in this fintech space and payments.
01:15
Looking at the future, it's clear that artificial intelligence will play a very critical role.
01:21
We took a backseat to analyze the future, and we've come up with a report of the impact
01:26
of AI in payments and fintech in Nigeria and Africa, and that report is published.
01:32
And there's some things jumping out, that AI has the potential to leapfrog the economy
01:37
in Nigeria and across the continent through its infusion in payments.
01:41
And AI isn't new, by the way.
01:43
For us at Remeter, we started with what you typically call weak AI, everybody's gone to
01:49
strong AI.
01:50
That's why you're not able to charge GPT and all of that.
01:53
They're just models of AI.
01:55
And we believe very much so, like you say, that accelerating payments, financial inclusion,
02:00
banking and all of that, will be able to leverage the opportunities that artificial intelligence
02:06
is bringing to the table now.
02:08
And it's a role.
02:09
Forty percent of banked Nigerians are underbanked.
02:13
New payment products and solutions coming on stream, transformation of payments at the
02:17
individual and corporate level, all of those things are things that AI will accelerate.
02:23
In simple terms, you're talking about automating processes, intelligent automation of processes.
02:29
We've gone beyond the information era.
02:32
We've gone beyond the knowledge era.
02:33
It's now the intelligence era, where things are built to happen at the speed of thought.
02:41
And this is leveraging advanced technologies, and that's why it's called artificial intelligence.
02:45
Being able to process things to make things happen intuitively and making more to happen
02:50
for the economy.
02:51
But what is the scale of adoption, though, within the digital payment space and even
02:56
outside of it?
02:57
The honest truth is, AI isn't something you're going to see and touch.
03:03
You can only experience it.
03:06
And the scale will be that for a number of those of us in fintech, particularly what
03:10
we've done is that we've transformed our payment processes.
03:13
And you're going to see a lot more transformation.
03:16
One of the things AI will also do will accelerate the rate at which people get to be digitally
03:21
included.
03:22
And just think about it.
03:23
Practically everyone has a phone, whether a smartphone or a feature phone.
03:27
With the embedding of AI at the manufacturer's level, you just hold a phone, you use it to
03:33
make a call, and then you have a suggestion of what to do next.
03:36
You didn't have any idea about that, and it's leading you on.
03:40
And so you begin to see a lot more people are going to be brought into the digital financial
03:44
space.
03:45
The next thing is as it relates to payments, you're going to have suggestions and things
03:49
that can prompt you to do what you want to do without even struggling.
03:54
And more importantly, you're going to be able to engage and make things happen in your natural
03:58
language.
03:59
So think about a number of people who do not consider themselves English literate, and
04:04
they can engage and interact to make financial transactions happen in their local languages.
04:11
So people are already in this environment building language models that are based on
04:16
the indigenous languages.
04:18
So that in itself is about stimulating financial inclusion, bringing AI to play.
04:23
The next thing is accelerating transactions.
04:27
Just one single transaction can build patterns around them, and that can be suggestive of
04:32
the next thing to do.
04:33
And that's one thing we've seen in the report that Remita has come up with, having been
04:37
in this space and today with transactions exceeding about 80 trillion a year.
04:42
That is an insight into where the money is going, where is it originating from, and those
04:47
are the insights that helps you to serve the market better.
04:50
So you're also, I mean, there's also data, good, credible data emerging from all of that
04:54
too.
04:55
The honest truth is, the fuel for AI is data.
04:57
It's what you're able to make of data, and that's why it can only be intelligent.
05:01
There's no intelligence without data.
05:03
So it's a critical analysis of the data you have.
05:06
And so we train data.
05:07
So any data you have, you're subjecting it to what is called machine learning for patterns
05:12
to emerge and for intuitive behavior to happen as it were, while still keeping data private.
05:19
And that's why you can anonymize the data in the environment of artificial intelligence
05:23
and things are still happening on their own.
05:25
So part of the things we've seen, like I said, is you're going to be able to create or engender
05:30
new financial transactions.
05:32
An example could be credit.
05:34
You've always bought airtime, or you've always made school fees payment, and at some point
05:39
you've not made that payment.
05:41
It's expected you're going to make that payment, and you are suggested to say, you've not made
05:45
the payment for this word.
05:46
If you don't have money, could suggest credit to you.
05:49
And so these are the kind of things we've built, these are the kind of things we see
05:52
that can happen.
05:53
And within the entire industry, active engagements and discussions are going on.
05:57
Right.
05:58
Now let's talk about the risks, current risks, emerging risks, and how players, old and new,
06:03
should navigate them.
06:05
Great.
06:06
There's hardly anything that has a good side that you wouldn't say has some other side.
06:11
The greatest thing about AI today, possibly, is about data and their personal data.
06:18
To say, how much of my data is within someone else's control, and how much of that can they
06:24
use to influence the kind of things I do?
06:26
And that's where you talk about ethical introduction of artificial intelligence.
06:32
One of the organizations at the forefront of AI advocacy in Nigeria today is CB, that's
06:37
the Community of E-Banking Aids.
06:41
And over the weekend, there was a master class, and a major aspect of it was talking about
06:44
the ethical use of artificial intelligence to ensure that it just achieves the common
06:51
good as perceived by everyone.
06:53
So when I talk about the kind of things Remta is trying to do, for instance, in terms of
06:57
working with different credit providers, to suggest credit to those who have track record,
07:05
that's a good use of it.
07:06
But there could also be people who may want to use credit for some other purposes.
07:11
AI is still the answer to that, by the way, because it can therefore, at the speed of
07:16
thought, help you analyze all the data points.
07:20
Another major area would be fraud, country fraud.
07:23
While some people can use AI for fraud itself, you hear about deepfakes, AI can also fight
07:28
that, because you can create an ecosystem where you've been able to aggregate data across
07:33
the entire industry, and the CBN can be at the forefront of that, and many of us are
07:38
doing things.
07:39
There's just an industry platform where those of us who are investing in the future of payments
07:42
are collaborating.
07:43
And so those are the benefits.
07:45
So talking about the risks on one end, being aware of them, and also leveraging AI to address
07:51
them are some of the things we see, and those are captured in the report.
07:55
Right.
07:56
I wish you had more time, but I mean, great stuff, and we're all excited about how this
08:00
is going to all take shape this year.
08:01
Thank you so much for talking to us today.
08:02
Thank you, sir.
08:03
Appreciate your time on the show.
08:04
Deremi Atunda, Managing Director of Remeter, looking at, of course, our book for AI this
08:09
year.
Recommended
8:27
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