Artificial intelligencein finance refers to the application of a set of technologies, particularlymachine learningalgorithms, in the finance industry. This fintech enables financial services organizations to improve the efficiency, accuracy and speed of such tasks as data analytics, forecasting, investment ...
AI Use Cases in Finance Many use cases are already demonstrating the value of AI in financial services, with many more innovations on the horizon. Here are just a few examples: Anti-money laundering (AML) and fraud detection: AI can analyze transaction patterns in near-real time to identify...
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Artificial intelligence (AI) can be used to analyze large amounts of data to identify potential risks, such as fraud and market volatility. This can help financial institutions to mitigate risk and protect their customers.Following are some of the ways that AI is being used in Risk management:...
Artificial Intelligence in Finance 作者:Yves Hilpisch 出版社:O′Reilly 副标题:A Python-Based Guide 出版年:2020-10-31 页数:475 定价:GBP 63.99 装帧:Paperback ISBN:9781492055433 豆瓣评分 评价人数不足 评价: 写笔记 写书评 加入购书单 分享到
The digital evolution of the financial services (FS) industry is heavily reliant on having quality information and analytics to deliver services to customers and manage operations in an efficient and risk-appropriate manner. With developments in Artificial Intelligence (AI) transforming t...
Artificial intelligence (AI) is an emerging trend that has long been forecast and might being having an impact on the finance function. AI in finance AI itself is an encompassing term that embraces a number of technological advances including: ...
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Artificial intelligence allows banks to become more efficient in the process of detecting fraud and money laundering, AI automatically conducts and compresses