Banking

AI-BDA helps banks use all relent 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.

AI-BDA reduces regulatory exposure, risk, and investigation costs by accurately identifying, prioritizing, and reporting suspicious activity.

AI-BDA uses supervised machine learning algorithms to analyze data from multiple systems to increase accuracy rates in flagging suspicious activity while reducing the number of false positives.

AI-BDA leverages real-time AI/machine learning to drive operational excellence and improve profitability across sales, marketing, and customer service.

AI-BDA delivers AI-generated forecasts and scores in real-time using insights from internal and external data sets.

AI-BDA Identifies globally optimal liquidity positions in real-time to satisfy payment and settlement obligations, and regulatory requirements.

AI-BDA maintains a comprehensive data view to accurately assess risk while streamlining credit approval.

AI-BDA correlates all structured and unstructured trading-relevant data and drives contextual analysis to enforce policy compliance.

AI-BDA improves the profitability of customer mix, lower customer attrition rate, and increase efficiency of retention activities.