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.

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Benefits

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.

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.

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.

AWS Partners
Learn more about AWS Partners who can help you transform your financial services functions through ML.
Use cases
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Customer experience
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Credit decisioning and underwriting
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Fraud detection and prevention
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Intelligent document processing
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Predictive analytics
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Personalized recommendations
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Customer experience
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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.
Customer case studies
Core products
Amazon Rekognition
Add image and video analysis to your ID verification apps.
Contact Lens for Amazon Connect
Real-time contact center analytics.
Amazon Lex
Conversational AI for chatbots.
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Credit decisioning and underwriting
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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.
Customer case studies
Core products
Amazon SageMaker
Machine learning for every data scientist and developer.
Amazon EMR
Use built-in ML to create your predictive analytics toolset.
Amazon Rekognition
Automate your image and video analysis with ML.
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Fraud detection and prevention
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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.
Customer case studies
Core products
Amazon SageMaker
Detect suspicious domain registration.
Amazon Fraud Detector
Detect more online fraud faster.
Amazon Rekognition
Complement password-based authentication and guard against fraudulent transactions.
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Intelligent document processing
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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.
Customer case studies
Core products
Amazon Textract
Easily extract printed text, handwriting, and data from documents.
Amazon Comprehend
Extract relevant fields and terms or classify documents.
Amazon Augmented AI
Build workflows for human review.
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Predictive analytics
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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.
Customer case studies
Core products
Amazon SageMaker
Boost predictive models with ML.
Amazon Forecast
Build and deploy advanced predictive models.
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Personalized recommendations
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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.
Customer case studies
Core products
Amazon Personalize
Add real-time personalized recommendations to apps.
Amazon SageMaker
Standardize ML workloads for pricing recommendations.
Partner references






Get started
Leading financial services companies are already using AWS. Contact our experts and start your own AWS Cloud journey today.
