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QIWI Buys Plati Potom For Undisclosed Sum

PYMNTS

Plati Potom develops post-payment solutions for eCommerce and offline retailers, as well as data analysis and credit risk management tools. One of the main goals of this transaction is to acquire proprietary data analysis and scoring technologies, as well as the team working on the products.

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How to Find the Best FP&A Candidates for Your Team

Spreadym

Data Analysis: They use data analytics tools and techniques to extract insights from financial data, providing valuable information to support strategic decisions. This includes building pro forma financial statements, forecasting cash flows, and scenario analysis.

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An AI Blueprint For More Profitable Portfolios In 2021

PYMNTS

This was a year that bent and broke quite a few risk forecasting models, thus all the more reason to bring AI smarts to bear on transaction volumes scaling far beyond a human pace. Circumstances] have underscored the singular importance of artificial intelligence (AI) in managing credit risk as well as supporting other bank operations.

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Reframing financial uncertainty with data and AI

Future CFO

He added that this expands the scope of the CFOs’ remit, but it also means CFOs need to expand their data sources. "I I think what’s important is to find out what data is out there to augment your data analysis," Kesuma added. Moody’s, he noted, is well known for its counterparty credit risk analysis.

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Hong Kong Relaxes Rules In Effort To Boost FinTech Lending

PYMNTS

The Hong Kong Monetary Authority has, as finews.asia reported this past week, amended its credit risk management guidelines in a way that seeks to boost the embrace of analytics when lending to smaller firms.

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How AI Improves Enterprise Risk Management (ERM)

The Finance Weekly

For example, it manages borrower’s credit data and spots early financial signs. This helps lenders proactively tackle credit risks. Also, AI's predictive analysis forecasts borrower defaults and risk levels using data.

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BlueVine CEO: The Real Value Of Invoice Factoring

PYMNTS

It became apparent very quickly, Lifshitz noted wryly, that it wasn’t a market segment they could address in either a scalable or profitable manner, given the diversity of those micro, zero-employee businesses and the credit risk associated with them.