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How Machine Learning is Used in Finance and Banking

Exadel

Sophisticated, intelligent security systems and streamlined customer services are keys to business success. The banking landscape is constantly changing, and the application of machine learning in banking is arguably still in its early stages. Machine Learning in Banking Statistics.

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Bringing Financial Services Business Use Cases to Life: Leveraging Data Analytics, ML/AI, and Gen AI

Cloudera

Cloudera and TAI Solutions in Financial Services Cloudera has a strong presence in the financial services sector, with 82% of the largest global banks, four of the top five stock exchanges, eight out of the top ten wealth management firms, and all four of the top credit card networks among its customers.

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Machine Learning Project Checklist

DataRobot

Download the Machine Learning Project Checklist. Planning Machine Learning Projects. Machine learning and AI empower organizations to analyze data, discover insights, and drive decision making from troves of data. More organizations are investing in machine learning than ever before.

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With fresh capital, Symend aims to build a better debt collection system

TechCrunch

A more recent report from the Federal Reserve Bank of New York estimates that total household debt in Q3 2022 reached $16.51 ” Joshaghani hails from the financial industry, having worked as a corporate finance manager and investment banking association. According to a September 2021 survey from Bankrate.com, 42% of U.S.

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Nigeria’s Indicina raises $3M to help businesses offer credit to their customers at scale

TechCrunch

For years, Africa’s credit infrastructure has lagged behind the rest of the world due to low credit coverage from its bureaus. Per a World Bank report , only 11% of Africa’s population have their credit information recorded by private credit bureaus. And for those who are banked, only 17% have accessed loans. 700 million (~$1.17

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MLOps: Methods and Tools of DevOps for Machine Learning

Altexsoft

When speaking of machine learning, we typically discuss data preparation or model building. The fusion of terms “machine learning” and “operations”, MLOps is a set of methods to automate the lifecycle of machine learning algorithms in production — from initial model training to deployment to retraining against new data.

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Nigeria’s SeamlessHR raises $10M to expand HR and payroll solutions across Africa

TechCrunch

Its product suite includes an HR management system, performance and competency management, HR analytics, leave management, payroll management and recruitment management. It was four years after several iterations of Insidify, an aggregator site for job seekers and a review site for companies that they started SeamlessHR in 2018.