How banks are leveraging machine learning: perspective from African banks
نویسندگان
چکیده
In the present day world, a lot of information is generated in each field, and every as well banking industry, among them. This data contains valuable information. Hence, it's important to shop, procedure, manage analyze this extract from it. It helps boost company profit. Banking industry plays vital role country's economy. Customers are primary advantage bank. Thus, essential focus on issues experienced by banks. Below, we customer retention fraud detection. particular work, supervised synthetic neural community algorithm implemented for category job.
منابع مشابه
How Well Capitalized Are Well-Capitalized Banks?
How Well Capitalized Are Well-Capitalized Banks? T he wave of bank and savings and loan failures in the 1980s and early 1990s, and the resulting losses to deposit insurance funds, served to highlight the need for banks to hold sufficient capital to survive difficult times. In addition, many argued that deposit insurance made it imperative that banks be better capitalized, since deposit insuranc...
متن کاملHow Efficient are Central European Banks?
This paper explores the issue of banking efficiency in Central Europe by applying the Fourier functional form and the stochastic cost frontier approach in calculating inefficiencies for a large sample of German, Austrian, Swiss and Luxembourg banks between 1997 and 2003. The findings suggest that the largest sized banks are generally the least efficient banks and the smallest sized banks are th...
متن کاملLeveraging Unstructured Text Data for Banks
Banks have volumes of unstructured text data related to customers, businesses, processes and employee engagement which are a source of insights to generate more business, retain customers, improve productivity and enable effective decision making. This paper provides an imperative for adopting unstructured data mining by providing some use cases and examples. It delves into some unstructured da...
متن کاملAre Banks Different ? Evidence from International Data
Pecking order models of international finance suggest that countries should become less reliant on international bank lending as they develop. Reduced information costs are one of the factors behind this trend towards disintermediation. This paper presents a simple model on the choice between bank debt and bond finance which builds on Rajan (1992), and it uses two new datasets to test the impli...
متن کاملLearning sparsifying filter banks
Recent years have numerous algorithms to learn a sparse synthesis or analysis model from data. Recently, a generalized analysis model called the ’transform model’ has been proposed. Data following the transform model is approximately sparsified when acted on by a linear operator called a sparsifying transform. While existing transform learning algorithms can learn a transform for any vectorized...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Business & IT
سال: 2022
ISSN: ['2570-7434', '1805-3777']
DOI: https://doi.org/10.14311/bit.2022.01.26