AWS Machine Learning Blog

Category: Customer Solutions

Data flow between user, Streamlit app, HAQM Bedrock, and Microsoft SQL Server, illustrating query processing and response generation

Build a Text-to-SQL solution for data consistency in generative AI using HAQM Nova

This post evaluates the key options for querying data using generative AI, discusses their strengths and limitations, and demonstrates why Text-to-SQL is the best choice for deterministic, schema-specific tasks. We show how to effectively use Text-to-SQL using HAQM Nova, a foundation model (FM) available in HAQM Bedrock, to derive precise and reliable answers from your data.

Modernize and migrate on-premises fraud detection machine learning workflows to HAQM SageMaker

Radial is the largest 3PL fulfillment provider, also offering integrated payment, fraud detection, and omnichannel solutions to mid-market and enterprise brands. In this post, we share how Radial optimized the cost and performance of their fraud detection machine learning (ML) applications by modernizing their ML workflow using HAQM SageMaker.

Build a scalable AI assistant to help refugees using AWS

The Danish humanitarian organization Bevar Ukraine has developed a comprehensive virtual generative AI-powered assistant called Victor, aimed at addressing the pressing needs of Ukrainian refugees integrating into Danish society. This post details our technical implementation using AWS services to create a scalable, multilingual AI assistant system that provides automated assistance while maintaining data security and GDPR compliance.

Enhanced diagnostics flow with LLM and HAQM Bedrock agent integration

In this post, we explore how Noodoe uses AI and HAQM Bedrock to optimize EV charging operations. By integrating LLMs, Noodoe enhances station diagnostics, enables dynamic pricing, and delivers multilingual support. These innovations reduce downtime, maximize efficiency, and improve sustainability. Read on to discover how AI is transforming EV charging management.

How ZURU improved the accuracy of floor plan generation by 109% using HAQM Bedrock and HAQM SageMaker

ZURU collaborated with AWS Generative AI Innovation Center and AWS Professional Services to implement a more accurate text-to-floor plan generator using generative AI. In this post, we show you why a solution using a large language model (LLM) was chosen. We explore how model selection, prompt engineering, and fine-tuning can be used to improve results.

Real-world applications of HAQM Nova Canvas for interior design and product photography

In this post, we explore how HAQM Nova Canvas can solve real-world business challenges through advanced image generation techniques. We focus on two specific use cases that demonstrate the power and flexibility of this technology: interior design and product photography.

A generative AI prototype with HAQM Bedrock transforms life sciences and the genome analysis process

This post explores deploying a text-to-SQL pipeline using generative AI models and HAQM Bedrock to ask natural language questions to a genomics database. We demonstrate how to implement an AI assistant web interface with AWS Amplify and explain the prompt engineering strategies adopted to generate the SQL queries. Finally, we present instructions to deploy the service in your own AWS account.

GuardianGamer scales family-safe cloud gaming with AWS

In this post, we share how GuardianGamer uses AWS services including HAQM Nova and HAQM Bedrock to deliver a scalable and efficient supervision platform. The team uses HAQM Nova for intelligent narrative generation to provide parents with meaningful insights into their children’s gaming activities and social interactions, while maintaining a non-intrusive approach to monitoring.