As the cost of doing business rises, so does the need for investment banks to cut costs, and increase revenue – all while providing the highest level of service to their clients. Machine learning and artificial intelligence (AI) represent a huge opportunity for investment banks to improve their highly diverse set of businesses – but how can they get started?
This new eBook highlights practical use cases for AI in today’s investment banking market. Armed with this knowledge, investment bankers can take advantage of the enormous amount of data they generate and transform into AI-enabled enterprises.
Investment banks can use AI in six critical ways:
- RFQ pricing optimization
- Algorithmic trade execution
- Research recommendations
- Operational break and failure prediction
- Trade and communications surveillance
- Regulatory due diligence