XenonStack Recommends

Generative AI in Financial and Banking Industry


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.

  • XenonStack Improved Customer Retention

    Improved Customer Retention

  • XenonStack Digital Personal Assistants

    Generative AI and ChatOps 

  • XenonStack Customized Investment

    Personalised Investment Plans

  • XenonStack Wealth Management

    Wealth and Fund Management

  • XenonStack Card Management Systems

    Card Management Systems

  • XenonStack Life Time Value Prediction

    LifeTime Value Prediction

Artificial Intelligence for Digital Banking Service Offerings

Artificial Intelligence Powered for strengthening Banking Solutions

Scam Recognition

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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

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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

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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.

Enabling Generative AI in Banking and Finance Sector

Generative AI Platform for Banking and Financial Services

XenonStack Banking Automation

Banking Automation and Data Insights

Real-Time deep and actionable insights, Robotic Process Automation, Optical Character Recognition, intelligent automation improving controls, quality, and scalability.

XenonStack Client Personalisation

HClient Personalisation and Retention

Personalized communications providing Online support and management, updating client investment, and offering effectively transforming and streamlining core operations.

XenonStack Risk and Finance Reporting

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.

XenonStack Customer Engagement

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.

XenonStack Digitisation

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.

XenonStack Biometric Identification

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 Financial Services

Enterprise AI

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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