Machine Learning for Financial Services

Transform financial services with data-driven insights

Artificial intelligence (AI) and machine learning (ML) can help your financial services organization solve problems and create opportunities by improving core processes like fraud detection and claims processing while offering more engaging client-facing experiences through custom, personalized offers. AI and ML services from AWS are designed to meet the needs of financial institutions of all sizes—from the largest enterprises to the most innovative startups—so you can accelerate your adoption of these transformative technologies. 

An Overview of AI and Machine Learning Services From AWS (1:39)
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Benefits

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Get proven expertise

More than 100,000 customers use AWS for AI and ML. Financial services institutions, from banks to insurance companies, choose AWS to transform business processes and create new customer experiences with AI and ML.

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Apply ready-made intelligence

AI Services provide ready-made intelligence for a variety of common use cases including fraud detection, document processing, chatbots, personalized recommendations, business forecasting, and more. And no ML expertise is needed.

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Accelerate ML adoption

AWS removes the heavy lifting from each step of the ML workflow to make it easier to add ML to financial services use cases. Train, build, and deploy models quickly, efficiently, and transparently in an integrated ML development environment with Amazon SageMaker.

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Use cases

  • Customer experience
  • Credit decisioning and underwriting
  • Fraud detection and prevention
  • Intelligent document processing
  • Predictive analytics
  • Personalized recommendations
  • Customer experience
  • Customer experience

    Use AI and ML to make your customer experience more seamless. Streamline the customer onboarding, Know-Your-Customer (KYC), and claims processes, including identify verification through image and video analysis. Enhance customer interactions and help your customers get answers to their questions quickly via more intelligent customer call centers and chatbots.

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    Customer case studies

    Core products

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    Amazon Rekognition

    Add image and video analysis to your ID verification apps.

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    Contact Lens for Amazon Connect

    Real-time contact center analytics.

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    Amazon Lex

    Conversational AI for chatbots.

  • Credit decisioning and underwriting
  • Credit decisioning and underwriting

    Use AI and ML to make credit and underwriting decisions more accurately and more quickly. Gain insights from alternative data sources to automate the issuance of loans, insurance policies, and other financial products to individuals and businesses that do not have an extensive credit history.

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    Customer case studies

    Core products

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    Amazon SageMaker

    Machine learning for every data scientist and developer.

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    Amazon EMR

    Use built-in ML to create your predictive analytics toolset.

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    Amazon Rekognition

    Automate your image and video analysis with ML.

  • Fraud detection and prevention
  • Fraud detection and prevention

    Protect your customers and your businesses by detecting suspicious transactions while minimizing the number of customers whose transactions are declined when they should not be. Build ML models or add AI Services to applications to identify anomalies in the data and reduce the amount of false positive alerts that rules-based models generate.

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    Customer case studies

    Core products

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    Amazon SageMaker

    Detect suspicious domain registration.

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    Amazon Fraud Detector

    Detect more online fraud faster.

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    Amazon Rekognition

    Complement password-based authentication and guard against fraudulent transactions.

  • Intelligent document processing
  • Intelligent document processing

    AI and ML services from AWS make it easier for you to process, analyze, and get key information from documents to use in due diligence, mortgage application reviews, and financial analysis. Extract relevant fields and terms from documents as well as split and classify documents. Include a human step to validate, correct, or augment the machine learning results for higher accuracy and compliance.

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    Customer case studies

    Core products

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    Amazon Textract

    Easily extract printed text, handwriting, and data from documents.

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    Amazon Comprehend

    Extract relevant fields and terms or classify documents.

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    Amazon Augmented AI

    Build workflows for human review.

  • Predictive analytics
  • Predictive analytics

    With AI and ML services from AWS, you can extract insights from your data to anticipate customer needs better, predict loan defaults, and identify new investment signals. You can also use these services in time-series forecasting to determine future asset demand and derivative pricing and to develop new products that can help your brokers, dealers, and asset managers grow your business.

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    Customer case studies

    Core products

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    Amazon SageMaker

    Boost predictive models with ML.

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    Amazon Forecast

    Build and deploy advanced predictive models.

  • Personalized recommendations
  • Personalized recommendations

    Recommend products and develop solutions tailored to the specific needs and behaviors of each customer. Using AI and ML services from AWS, you can add pre-built services to your applications and workflows or develop models that help you deliver unique experiences. Create customized investment portfolios, lending rates, and insurance products and make targeted recommendations.

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    Customer case studies

    Core products

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    Amazon Personalize

    Add real-time personalized recommendations to apps.

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    Amazon SageMaker

    Standardize ML workloads for pricing recommendations.

Partner references

insurity
Insurity Provides Next-Generation Predictive Analytics for Insurers on AWS
 
Using a suite of services including Amazon GuardDuty and AWS CloudTrail, Insurity can provide its customers with four nines of availability, sub-four hour RTO, and 5 minute RPO.
canopy
Canopy Uses Machine Learning to Automate Financial Statement Processing on AWS
 
Using Amazon SageMaker, Canopy applies machine learning and optical character recognition to automate their financial documents.
Frollo
Frollo Provides a Fast Track to Open Banking on AWS
 
Using AWS Shield, Amazon SageMaker and AWS Firewall, Frollo has reduced risk in loan origination and improved the speed of credit results from minutes to seconds.
absa
Absa Transforms IT and Fosters Tech Talent Using AWS
 
Using Amazon SageMaker and Amazon Rekognition, Absa reduced their document review time from months to hours.
elula
Elula’s AI Solutions Help Banks Improve Customer Retention
 
By using multiple AWS services, including AWS Glue and Amazon EMR, in their machine learning AlaaS solution, Elula can provide insights to their financial services customers and protects their data assets.
Onefi
OneFi uses AWS to disburse 1,500 loans a day instead of 500 a week
 
Using Amazon Elastic Compute Cloud and Amazon Elastic Container Service, OneFi increased the number of loans reviewed and approved by 20X per week.

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