Artificial Intelligence and Machine Learning
for Financial Services
AI and ML power financial services transformation.
Financial institutions are using artificial intelligence (AI) and machine learning (ML) services on AWS to transform their organizations faster and in ways never before possible. With AWS, they can automate and personalize experiences, enhance analytics, and increase efficiency on the most secure, scalable, and resilient cloud.
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AI and ML insights for financial services
AWS provides the broadest and deepest set of AI and ML services for financial services institutions of all sizes, and for developers across expertise levels.
Reinventing the future of financial services with AI and ML
Standard Bank improves fraud detection and customer satisfaction
Standard Bank reduced turnaround time for low-risk claims from 48 hours to less than 6 hours. It also saw a 36% increase in its NPS scores.
Benefits
Solve real-world financial services challenges, pursue new opportunities, and innovate with confidence. Join more than 100,000 AWS customers building on 20+ years of experience at Amazon.
Address financial services challenges to improve the customer experience, create highly personalized offerings, identify fraudulent activity, and simplify document processing. Use ready-made, purpose-built AI services or your own models with AWS ML services.
Get the support you need along every stage of your AI and ML journey. Kick off your proof of concept with AWS experts, work with 80+ competency partners, and upskill your teams with training and hands-on tutorials.
Build financial services applications with generative AI using popular foundation models or use services with generative AI built in, all running on the most cost-effective cloud infrastructure for generative AI.
AI and ML use cases for Financial Services
Customer experience and onboarding
Financial services institutions are using AI and ML technologies and applications to streamline customer onboarding and Know-Your-Customer (KYC) processes. AI and ML also plays a growing role in delivering richer customer experiences.
Personalization
AI and ML allows financial services institutions to develop models that deliver unique experiences, including customized lending or insurance products and rates, as well as highly tailored investment portfolios and products.
Document processing and text analytics
With AI and ML, firms can extract text from millions of documents, understand the sentiment of and relationships between documents, and include a manual step to validate the AI and ML results to ensure compliance.
Predictive analytics
AI and ML predictive analytics help financial services institutions to better anticipate customer demand and manage associated risk. For example, they can accurately predict customer account balances as well as asset demand and derivative pricing.
Fraud detection and prevention
Leveraging AI and ML and analytics services, banking, capital markets, insurance, and payments firms can provide a frictionless customer experience while preventing fraudulent transactions—protecting consumers and their own bottom line.
Credit decisioning and underwriting
Financial services institutions are making faster, more accurate credit and underwriting decisions with AI and ML, and using alternative data sources to offer products to customers without an extensive credit history.
Get started with select AWS services
Responsible use of artificial intelligence
and machine learning
Access resources and tools to guide your development and application
of AI and ML technologies.
Innovate with industry partners
C3 provides a comprehensive PaaS for rapidly developing & operating big data, AI, and IoT applications.
DataRobot offers an enterprise machine learning platform that empowers users of all skill levels to make better predictions faster.
Alteryx Analytic Process Automation unifies analytics, data science, ML, and process automation in one self-service platform.
The Databricks Lakehouse brings the best of data warehouses and data lakes together in one simple platform to handle all your data, analytics and AI use cases.
H2O.ai is trusted by more than 20,000 organizations around the world and enables businesses, government entities, nonprofits and academic institutions to make, operate and innovate with AI.
Appen collects and labels images, text, speech, audio, video, and other data used to build and continuously improve the world’s most innovative artificial intelligence systems.
AWS Service Partners
Accenture is a global professional services company that provides an end-to-end solution to migrate to and manage operations on AWS.
Helping customers achieve the promise of cloud through accelerated advisory, adoption and continuous improvement.
Deloitte’s end-to-end capabilities and understanding of your business and industry help amplify the transformative value of cloud.
Capgemini is a global leader in consulting, technology services and digital transformation.
Discover solutions in AWS Marketplace
AWS Marketplace makes it easy for financial services institutions to find, buy, deploy, and manage software solutions, including SaaS, in a matter of minutes.
Resources
ML for document processing and underwriting
Process and extract information to process loan applications, review documents, and analyze financial data.
Deploy solutions with SageMaker JumpStart
Pre-built ML solutions that you can deploy with just a few clicks.
Engage with Amazon experts
The Amazon Machine Learning Solutions Lab pairs your team with Amazon ML experts to build new ML solutions for your business.
Build ML Skills in your organization
Build new ML skills in your organization using the same curriculum we use at Amazon—be it business executives, data scientists, or app developers.
AWS DeepRacer League
Expand your ML skills by competing in the world’s first global, autonomous racing league. Win prizes as well as a chance to advance to the Championship Cup.
AI and ML insights for financial services
AI and ML services from AWS are designed to meet the needs of financial institutions of all sizes, and can help accelerate adoption of these transformative technologies.
AWS distinguished scientists explain generative AI
Werner Vogels, CTO of Amazon, sits down with expert data scientists to talk about the science behind generative AI such as the transformer architecture, encoders/decoders, and embeddings.
How to get started with Generative AI and foundation models on AWS
Explore how to get started with Generative AI on AWS with this whitepaper.
Get started
Leading companies in financial services are already using AI and ML services on AWS.