How Rocket Companies modernized their data science solution on AWS

Favorite This post was written with Dian Xu and Joel Hawkins of Rocket Companies. Rocket Companies is a Detroit-based FinTech company with a mission to “Help Everyone Home”. With the current housing shortage and affordability concerns, Rocket simplifies the homeownership process through an intuitive and AI-driven experience. This comprehensive framework

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Shared by AWS Machine Learning February 21, 2025

Turbocharging premium audit capabilities with the power of generative AI: Verisk’s journey toward a sophisticated conversational chat platform to enhance customer support

Favorite This post is co-written with Sajin Jacob, Jerry Chen, Siddarth Mohanram, Luis Barbier, Kristen Chenowith, and Michelle Stahl from Verisk. Verisk (Nasdaq: VRSK) is a leading data analytics and technology partner for the global insurance industry. Through advanced analytics, software, research, and industry expertise across more than 20 countries,

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Shared by AWS Machine Learning February 20, 2025

Generate synthetic counterparty (CR) risk data with generative AI using Amazon Bedrock LLMs and RAG

Favorite Data is the lifeblood of modern applications, driving everything from application testing to machine learning (ML) model training and evaluation. As data demands continue to surge, the emergence of generative AI models presents an innovative solution. These large language models (LLMs), trained on expansive data corpora, possess the remarkable

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Shared by AWS Machine Learning February 20, 2025

Best practices for Amazon SageMaker HyperPod task governance

Favorite At AWS re:Invent 2024, we launched a new innovation in Amazon SageMaker HyperPod on Amazon Elastic Kubernetes Service (Amazon EKS) that enables you to run generative AI development tasks on shared accelerated compute resources efficiently and reduce costs by up to 40%. Administrators can use SageMaker HyperPod task governance

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Shared by AWS Machine Learning February 19, 2025

Build verifiable explainability into financial services workflows with Automated Reasoning checks for Amazon Bedrock Guardrails

Favorite Foundational models (FMs) and generative AI are transforming how financial service institutions (FSIs) operate their core business functions. AWS FSI customers, including NASDAQ, State Bank of India, and Bridgewater, have used FMs to reimagine their business operations and deliver improved outcomes. FMs are probabilistic in nature and produce a

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Shared by AWS Machine Learning February 19, 2025

Using Amazon Rekognition to improve bicycle safety

Favorite Cycling is a fun way to stay fit, enjoy nature, and connect with friends and acquaintances. However, riding is becoming increasingly dangerous, especially in situations where cyclists and cars share the road. According to the NHTSA, in the United States an average of 883 people on bicycles are killed

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Shared by AWS Machine Learning February 17, 2025

Building a virtual meteorologist using Amazon Bedrock Agents

Favorite The integration of generative AI capabilities is driving transformative changes across many industries. Although weather information is accessible through multiple channels, businesses that heavily rely on meteorological data require robust and scalable solutions to effectively manage and use these critical insights and reduce manual processes. This solution demonstrates how

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Shared by AWS Machine Learning February 12, 2025