Mant patented technologies in banking and financial services are already seeing the light of the day across various financial or trading products or risk modeling and monitoring systems. These include: 

• Sentiment Analysis uses data and statistics from the web to gauge user sentiment towards financial products or services. Such a system was outlined in the patent Method and System for Analyzing Customer Sentiment Using Social Media Data filed by Capital One.  

• Risk management has seen major changes since the introduction of Generative Adversarial Networks. Goldman Sachs has filed a patent titled Method and System for Generating Synthetic Financial Instruments Using Generative Adversarial Networks that describes the use of these networks to generate synthetic financial instruments to improve market liquidity and manage risk. 

• Credit risk management for loans is increasingly seeing many AI patents that are focused on techniques to build better and more robust risk models, determine the creditworthiness of an applicant and techniques to reduce bias in the modeling process 

• Fraud detection, too, benefits from AI patents that use Predictive Analysis and Machine Learning. A patent titled System and Method for Detecting Fraudulent Transactions Using Machine Learning, filed by PayPal, helps in identifying anomalies in transaction patterns to detect fraudulent activity in real time.  

• AI powered chatbots are helping reduce the workload on the back-offices that support various financial service products. Innovations around AI powered chatbots allow for doing enhanced activities such as assisting with account opening, upselling of related products and helping redirect user queries to the right department. 

• Data-driven decision-making is key to the success of financial companies or their products. Many AI patents focusing on the use of AI to ingest greater data points or to extract new types of data points or complex linkages from unstructured datasets are being filed.