C3 AI helps banks use all relevant data sources to underpin machine learning models that rapidly generate predictive insights, enhance historical rules-based banking systems, improve critical compliance and operational processes, and transform customer experiences.
Identify globally optimal liquidity positions in real time to satisfy payment and settlement obligations, and regulatory requirements. Machine learning-based stochastic optimization techniques use real-time data for agile liquidity management.
Reduce exposure to credit risk and loss through early identification of conditions that may affect consumer or commercial risk profiles. Maintain a comprehensive data view to accurately assess risk while streamlining credit approval.
Detect suspicious trading behavior indicative of market misconduct. Advanced machine learning algorithms correlate all structured and unstructured trading-relevant data and drive contextual analysis to enforce policy compliance.
Prioritize securities locate requests by expected availability, likelihood of fulfillment, and potential profitability. AI algorithms also predict likelihood of lender recall events for every security-lender combination and learn from recall events to make better predictions over time.
Improve profitability of customer mix, lower customer attrition rate, and increase efficiency of retention activities. Supervised machine learning models analyze customer attributes, behavior, and external factors to determine churn risk and the most effective intervention for each customer.
The C3 AI Suite is a purpose-built platform for developing and operating AI applications that address industry and company-specific use cases. It offers a cohesive, low-code/no-code development environment with a complete and comprehensive set of tools and services to design, build, deploy, and operate advanced, enterprise-scale AI applications.
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