Category: Architecture

In this post, we share how we modernized Rocket Companies’ data science solution on AWS to increase the speed to delivery from eight weeks to under one hour, improve operational stability and support by reducing incident tickets by over 99% in 18 months, power 10 million automated data science and AI decisions made daily, and provide a seamless data science development experience.

Optimizing costs of generative AI applications on AWS is critical for realizing the full potential of this transformative technology. The post outlines key cost optimization pillars, including model selection and customization, token usage, inference pricing plans, and vector database considerations.

TUI Group is one of the world’s leading global tourism services, providing 21 million customers with an unmatched holiday experience in 180 regions. The TUI content teams are tasked with producing high-quality content for its websites, including product details, hotel information, and travel guides, often using descriptions written by hotel and third-party partners. In this post, we discuss how we used HAQM SageMaker and HAQM Bedrock to build a content generator that rewrites marketing content following specific brand and style guidelines.

In this post, we demonstrate how to create an automated email response solution using HAQM Bedrock and its features, including HAQM Bedrock Agents, HAQM Bedrock Knowledge Bases, and HAQM Bedrock Guardrails.

In this post, we explain how InsuranceDekho harnessed the power of generative AI using HAQM Bedrock and Anthropic’s Claude to provide responses to customer queries on policy coverages, exclusions, and more. This let our customer care agents and POSPs confidently help our customers understand the policies without reaching out to insurance subject matter experts (SMEs) or memorizing complex plans while providing sales and after-sales services. The use of this solution has improved sales, cross-selling, and overall customer service experience.

In this post, we discuss how GoDaddy’s Care & Services team, in close collaboration with the  AWS GenAI Labs team, built Lighthouse—a generative AI solution powered by HAQM Bedrock. HAQM Bedrock is a fully managed service that makes foundation models (FMs) from leading AI startups and HAQM available through an API, so you can choose from a wide range of FMs to find the model that is best suited for your use case. With HAQM Bedrock, GoDaddy’s Lighthouse mines insights from customer care interactions using crafted prompts to identify top call drivers and reduce friction points in customers’ product and website experiences, leading to improved customer experience.

In this post, we explore how chaining domain-specific agents using HAQM Bedrock Agents can transform a system of complex API interactions into streamlined, adaptive workflows, empowering your business to operate with agility and precision.

In this post, we dive into the architecture and implementation details of GenASL, which uses AWS generative AI capabilities to create human-like ASL avatar videos. GenASL is a solution that translates speech or text into expressive ASL avatar animations, bridging the gap between spoken and written language and sign language.

In this post, we explore using the Anthropic Claude 3 on HAQM Bedrock large language model (LLM). HAQM Bedrock provides access to several LLMs, such as Anthropic Claude 3, which can be used to generate semi-structured data relevant to the healthcare industry. This can be particularly useful for creating various healthcare-related forms, such as patient intake forms, insurance claim forms, or medical history questionnaires.

This post shows you how to extend HAQM SageMaker Distribution with additional dependencies to create a custom container image tailored for geospatial analysis. Although the example in this post focuses on geospatial data science, the methodology presented can be applied to any kind of custom image based on SageMaker Distribution.