AI ML, credit scores, Artificial Intelligence Brendan le Grange AI ML, credit scores, Artificial Intelligence Brendan le Grange

Embracing GenAI in credit risk, with Arvind Govindarajan

As I started to play with GenAI more and more, I started to understand that, hey, if I ask questions the right way, it actually gives me reasonable answers: it's not about it being good or bad, it's a question of what it's good for and what it's not.

The other big one is tech implementation, and the key questions becomes: one, nobody really knows how to validate a large language model, and two, if these things always sit on some sort of external cloud environment, well, where is my data going to sit? Am I sure that this environment in which this thing is based is actually safe from a data privacy perspective, et cetera?

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Selling clarity in a volatile market, with George Nachamba

So what happened in Zimbabwe is, one, it started becoming a lot more informal. That means in the formal market is shrinking. You don't have data, so now the credit bureau market is shrinking as well. So this was the problem I'd been battling with since I took over.

Is there a need for credit scoring, or credit risk management, or financial risk management in this kind of environment that is more informal than it is formal?

And I looked at it. And I thought about it, and I said, yeah, there is a need, because those people are still economically active, just not in the way that Western markets are structured. So that's how actually CrediSafe came about…

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Innovation for interesting markets, with Adrian Pillay

The innovation of our solution lies in a number of areas, but I'll speak about two key areas: and that is our awareness of the importance that AI plays today in risk decision making; and the importance that data plays in making informed decisions.

On the AI front, Provenir's auto ML product allows our customers to quickly easily and affordably develop new or improved credit risk scores, which are instantly deployable into those credit decisioning workflows on the Provenir platform.

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Lenders leaping forward, with Paul Weiss

Now, why did I make the choice to go to Kigali or to East Africa? One, the sister of my grandma lived in South Africa and in Zimbabwe, and my grandparents were there to visit them. And they came back with all these beautiful stories. And that sparked my imagination to the fullest, I would say. So in the past years, I went there on the holidays, and I decided to make that move, and to go there. And I really wanted to do something where I could bring my expertise and my experience, and having worked with the biggest banks in Europe, some of them even in America, gave me a good foundation to join Simbuka and to make lending simple, also for the people here in East Africa.

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A global study of credit self-monitoring, with Charlie Wise

And so when we compare it against consumers that don't monitor their credit, we do see materially higher score improvements for those credit monitoring consumers, relative to the others, and does the active credit monitoring actually result in your score improving now there's nothing about looking at your credit score that causes your score to improve, it's not like every time I hit refresh my score ticks up.

But it's the same idea with joining a gym or a health club, the act of joining the health club doesn't cause you to improve, you actually have to show up and do the work, lift the weights and stretch and do the sweat stuff.

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IDEAS FROM AROUND THE WORLD

We feature guests from around the globe, sharing their best lending strategies and knowledge.

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