XenonStack Recommends
Real-Time AI-driven Innovation in Banking and finance
Digital Banking and Finance on Artificial Intelligence based solutions which enable enterprises to leverage advanced data analytics for handling real-time fraud detection, transaction analytics and enhancing compliance with personalised offerings for transaction Data Enrichment and Customer Segmentation.
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Improved Customer Retention
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Generative AI and ChatOps
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Personalised Investment Plans
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Wealth and Fund Management
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Card Management Systems
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LifeTime Value Prediction
Artificial Intelligence for Digital Banking Service Offerings
Artificial Intelligence Powered for strengthening Banking Solutions
Scam Recognition
It includes Financial Security, Fraud Detection and Prevention, Real-Time Scam solutions, analyzing vast repositories of data and spot patterns, implementing multi factor authentication systems, and identity recognition matching DNA sequences.
Advanced-Data Analytics
Real-Time Predictive Analytics, analyzing customer data, smarter strategic decisions, embed analytics into Decision-Making and workflow, expanding analytics scale, enabling user revolution, and performing Critical Analytics.
Risk Management
Constant Vulnerability Testing eliminates security breaches, Cloud-Based Solutions for more resilience and mobile user support, adaptive Digital Risk Governance, Product and Service Management, Fraud Mitigation.
Empowering Generative AI in Finance and Banking Industry
Enabling Generative AI in Banking and Finance Sector
Generative AI Platform for Banking and Financial Services
Banking Automation and Data Insights
Real-Time deep and actionable insights, Robotic Process Automation, Optical Character Recognition, intelligent automation improving controls, quality, and scalability.
HClient Personalisation and Retention
Personalized communications providing Online support and management, updating client investment, and offering effectively transforming and streamlining core operations.
Risk and Finance Analytics based Reporting
Risk Management solutions with Regulatory Reporting, Credit Risk Modelling, Contract Intelligence, Data-Driven decisions, Investment Banking, Corporate Restructuring and Financing, and recovering complex patterns within the data.
Customer Engagement
Pragmatism, Pro-active Omni-Channel Engagement, maintaining valuable relationships, Face-to-Face interactions, transitioning customer's agony into affirmative implementations, Real-Time transaction Notifications.
Digitization - Deploying AI abilities at Scale
Customer Relationship Management, Technological Integration, Online Internet Banking Platforms, Smart Wallets, Transactional Banking, Mobility of Services, Application Delivery Controllers.
Biometric Identification
Customer Identification, Facial Recognition with multi-layered security, Automatic Billing updater and Mastercard Identity checking, Customer Security, Vein Pattern Recognition, Vocal Identification, DNA identification.
Artificial Intelligence Related Insights
Explainable AI in Finance and Banking Industry
The Bank and Finance industry use AI (Artificial Intelligence) to make their task more efficient, reliable, productive, and fast. Several use cases such as anti-money laundering, fraud detection, credit risk scoring, anomaly detection, and churn prediction use AI.
But lack of transparency and governance inhibit AI's adoption because most of these AI and ML (Machine Learning) models have black-box nature. In the case of the finance industry, explanation and governance are must in its AI systems to explain the results that come from an algorithm.
22 March 2023
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