Gen AI News Talk
Intelligent document processing at scale with generative AI and Amazon Bedrock Data Automation
Extracting information from unstructured documents at scale is a recurring business task. Common use cases include creating product feature tables from descriptions, extracting metadata...
Advanced fine-tuning methods on Amazon SageMaker AI
This post provides the theoretical foundation and practical insights needed to navigate the complexities of LLM development on Amazon SageMaker AI, helping organizations make...
Build a conversational data assistant, Part 1: Text-to-SQL with Amazon Bedrock Agents
What if you could replace hours of data analysis with a minute-long conversation? Large language models can transform how we bridge the gap between...
Build a conversational data assistant, Part 2 – Embedding generative business intelligence with Amazon...
In Part 1 of this series, we explored how Amazon’s Worldwide Returns & ReCommerce (WWRR) organization built the Returns & ReCommerce Data Assist (RRDA)—a...
Uphold ethical standards in fashion using multimodal toxicity detection with Amazon Bedrock Guardrails
The global fashion industry is estimated to be valued at $1.84 trillion in 2025, accounting for approximately 1.63% of the world’s GDP (Statista, 2025)....
Building intelligent AI voice agents with Pipecat and Amazon Bedrock – Part 2
Voice AI is changing the way we use technology, allowing for more natural and intuitive conversations. Meanwhile, advanced AI agents can now understand complex...
Fraud detection empowered by federated learning with the Flower framework on Amazon SageMaker AI
Fraud detection remains a significant challenge in the financial industry, requiring advanced machine learning (ML) techniques to detect fraudulent patterns while maintaining compliance with...
Long-running execution flows now supported in Amazon Bedrock Flows in public preview
Today, we announce the public preview of long-running execution (asynchronous) flow support within Amazon Bedrock Flows. With Amazon Bedrock Flows, you can link foundation...
Implement user-level access control for multi-tenant ML platforms on Amazon SageMaker AI
Managing access control in enterprise machine learning (ML) environments presents significant challenges, particularly when multiple teams share Amazon SageMaker AI resources within a single...
New capabilities in Amazon SageMaker AI continue to transform how organizations develop AI models
As AI models become increasingly sophisticated and specialized, the ability to quickly train and customize models can mean the difference between industry leadership and...
