CapitalOne
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CapitalOne fights fraud at scale with data and AI
Data analytics and machine learning in financial services
Building a safer and more inclusive Financial Services sector with Data + AI at its core
Data + AI are great democratizing forces in financial services that fuel the progress towards the goal of “Digital Transformation”. Databricks helps financial services institutions unlock new possibilities from their data to drive new use cases that minimize risk, create a more engaging customer experience, and drive higher return on equity.
Learn how to easily tap into the power of data and AI in financial services
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S&P Global helps customers make sustainable investments with ESG analytics
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ABN AMRO taps into the power of data to drive digital transformation at scale
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Credit Suisse ushers in a new era of product innovation
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HSBC reinventing mobile banking with ML
Latest blog posts, webinars, and case studies
Why Databricks for Financial Services
Manage risk in real-time
Generate real-time insights on risk factors and business performance to mitigate adverse impacts on operations and the bottom line
Enable data-driven ESG
Employ data and AI to automate the collection, verification, and analysis of ESG performance to ensure profitability and longevity
Mitigate fraudulent activity
Proactively identify emerging patterns of fraudulent and malicious behavior to protect customers and revenue
Use cases
From mitigating insurance claims fraud to reducing churn with personalized services, Databricks helps financial services institutions reduce risk while delivering a better customer experience.
Banking and Payments
Customer 360
Risk Management
Regulatory Compliance
Fraud Detection
Credit Scoring
Risk Management
Regulatory Compliance
Fraud Detection
Credit Scoring
Insurance
Personalized Offers
Claims Automation
Actuary Science
Risk Monitoring
Case Management
Claims Automation
Actuary Science
Risk Monitoring
Case Management
Capital Markets
Alternative Data
Back-testing
Risk Management
Trading Cost Analysis
Regulatory Reporting
Back-testing
Risk Management
Trading Cost Analysis
Regulatory Reporting