Machine learning use cases in finance
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Machine learning and AI have several useful applications in financial services such as classifying risk in portfolios and for credit assessment, powering robo-advisers to provide automated investment advice, using regression to analyze currency exposure and company earnings for firms like Blackrock, and developing customer service chatbots such as RBS-Luvo.
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Machine learning use cases in finance
- 1. Machine Learning / AI use-cases for Financial Services In-depth assessment of risk in portfolios (classification) Comprehensive credit-risk assessment (classification) Robo-advisers – investment management robots providing automated advice to investor (recommender system) Analysing companies’ currency exposure to gain more in-depth insights into their expected earnings well before their quarterly announcement – used at Blackrock (regression) Customer Service bots - RBS-Luvo.