Leading banks are expanding their use of cognitive computing to power more effective trading strategies based on customer needs and preferences. We led a free webinar on February 28, Client-Driven Alpha from Cognitive Computing, hosted in partnership with Tabb Group, that examined the emerging trend to apply AI-driven algorithms to electronic communications data to gain a total view of the trading landscape and achieve predictable, client-centric alpha.
Speakers included Terry Roche, Principal and Head of FinTech Research at TABB Group, Kim Prado, Managing Director and Global Head of Credit and Sales Technology at Royal Bank of Canada, and Bill DiPietro, Vice President of Product Management at Digital Reasoning, who discussed:
- How cognitive computing has been successfully applied to the compliance domain to improve understanding of trader and client profiles.
- The market and technical drivers for institutions seeking to use proven cognitive systems to expand their markets understanding by increasing their knowledge of the trading landscape.
- How Natural Language Processing and Machine Learning are used to extract context-based insights from electronic communications data and voice transcripts.
- The dynamics of using pattern-based knowledge to enhance trading strategies and the benefits for customer service and relationships.
To view the full recorded discussion, click here.