From AWS Machine Learning Blog · 17 stories
Amazon Nova models fine-tuned for better email data extraction accuracy
Parcel Perform has fine-tuned Amazon Nova models to improve data extraction accuracy from emails, achieving 94.77% accuracy. The optimization reduced inference latency and costs, enhancing e-commerce logistics operations.
Amazon Nova 2 Lite and Anthropic Claude streamline document digitization
Amazon Nova 2 Lite and Anthropic's Claude Sonnet 4.6 have been paired to create a cost-effective solution for digitizing scanned documents. This two-model pipeline reduces costs by two-thirds compared to single-model alternatives, providing high confidence name-to-face associations from yearbook scans.
PAR Technology Develops Secure Multi-Tenant LLM Analytics on AWS
PAR Technology has built a secure multi-tenant analytics system on AWS that uses row-level security. This solution allows business users to perform self-serve analytics without exposing sensitive data across tenants, addressing the complex challenge of data access and correctness.
Hugging Face Models Now One-Click Deployable to Amazon SageMaker Studio
AWS and Hugging Face have integrated deep-linking, allowing developers to move a model from Hugging Face directly into Amazon SageMaker Studio in a single click. This eliminates prior multi-step processes, enabling quicker model experimentation and deployment. The update is significant for faster AI development and deployment in enterprise environments.
Pixieset integrates AI alt text generation using Amazon Bedrock, achieving 35% adoption
Pixieset, a photography business service, implemented an AI-powered alt text generator for images using Amazon Bedrock, reaching 35% adoption among applicable users within 16 months. This feature addresses the time-consuming task of manually writing alt text for photographers' portfolios, which often contain hundreds to thousands of images.
AWS Generative AI Innovation Center develops constraint programming system for NHL playoff scenarios
The AWS Generative AI Innovation Center created an automated system using constraint programming and custom tree search to determine NHL playoff clinching scenarios. This system provides a mathematically rigorous alternative to manual scenario generation, which has become time-consuming and error-prone due to complex tie-breaking rules.
AI as Accessibility Tool for Neurodivergent Professionals
AI is leveraged as an accessibility tool by neurodivergent individuals, improving executive function tasks. This usage highlights the gap in traditional productivity tools that often overlook neurodivergent needs.
ONESTRUCTION develops Ishigaki-IDS foundation model for construction BIM workflows with AWS GenAIIC
ONESTRUCTION, a construction technology startup, developed Ishigaki-IDS, a foundation model specialized for Building Information Modeling (BIM) workflows in the construction industry, with technical advisory from AWS Generative AI Innovation Center (GenAIIC). This model addresses the challenge of data scarcity in specialized domains by using synthetic data generation and a three-stage training pipeline, making BIM attribute information review and management accessible to non-specialists.
Guide to Building a Serverless A2A Gateway for AI Agent Communication
A tutorial outlines building a serverless A2A gateway for efficient agent communication. It addresses operational burdens by centralizing agent routing and access control, which aids in managing multiple AI agents without complex integrations.
Amazon QuickSight Introduces Backup Strategy for BI Assets
Amazon QuickSight now allows the backup of BI assets using the AssetsAsBundle APIs to safeguard against data loss. Implementing this strategy is crucial for organizations relying on QuickSight for critical decisions, especially in regulated industries.
Designing Custom Reward Functions for Multi-Turn Reinforcement Learning with Amazon Nova Forge
Amazon Nova Forge now offers a generally available serverless multi-turn reinforcement learning (RL) option, alongside its Bring Your Own Orchestration (BYOO) capability, to help users define custom reward functions for multi-turn RL. This development provides more flexibility for training Amazon Nova models in complex, multi-step agentic tasks, addressing a key challenge in customizing these models.
Tutorial: Amazon Bedrock Cost Attribution with Athena and CUDOS
A tutorial details how to visualize and analyze Amazon Bedrock costs using Amazon Athena queries and CUDOS dashboards. This process involves setting up Cost and Usage Report (CUR) 2.0 with IAM principal data and then querying this data for granular cost attribution. This enables per-user and per-application visibility of Bedrock spend.
AWS details explainable next-best-product recommendation system for banking
AWS published an architectural overview for building an explainable next-best-product recommendation system for banking using Amazon SageMaker AI and PyTorch. This system helps banks predict customer product needs by analyzing transaction histories, product ownership, demographics, and behavioral patterns. The architecture uses a multi-tower neural network and learned attention for per-customer explainability, addressing challenges with traditional rule-based systems.
Building Multi-Region Visualizations with Highcharts in Amazon Quick Sight
This article details how to integrate Highcharts as a custom visual within Amazon Quick Sight to create multi-region data visualizations. This integration addresses limitations in native Quick Sight visualizations when analyzing complex, geographically diverse carrier performance data.
First Orion adopts Amazon Nova Act for AI-driven QA automation
First Orion implemented Amazon Nova Act to automate its quality assurance (QA) processes, shifting from script-based testing to AI-driven agents. This change addresses the challenge of QA keeping pace with rapid software development velocity, particularly as the company expanded its web applications.
Yahoo integrates Amazon Bedrock to enhance search retargeting in its DSP
Yahoo has integrated Amazon Bedrock into its Demand-Side Platform (DSP) to improve Search Retargeting (SRT) capabilities. This integration allows Yahoo to use generative AI for better understanding of search intent and more relevant ad targeting, moving beyond the limitations of its previous Word2Vec + LSH approach.
Guardoc Health uses Amazon Nova models to automate medical document processing
Guardoc Health is using Amazon Nova models, available through Amazon Bedrock, to automate the extraction, classification, and processing of complex medical documents for long-term care facilities. This implementation has led to a 46 percent reduction in documentation errors and a 70 percent decrease in audit fines for its clients. The technology addresses challenges with fragmented and inconsistent clinical documentation, aiming to improve patient outcomes and regulatory compliance.