Artificial Intelligence

Category: Amazon Machine Learning

Build generative AI solutions with Amazon Bedrock

In this post, we show you how to build generative AI applications on Amazon Web Services (AWS) using the capabilities of Amazon Bedrock, highlighting how Amazon Bedrock can be used at each step of your generative AI journey. This guide is valuable for both experienced AI engineers and newcomers to the generative AI space, helping you use Amazon Bedrock to its fullest potential.

AWS architecture for Netsertive showcasing EKS, Aurora, Bedrock integration with insights management and call reporting workflow

How Netsertive built a scalable AI assistant to extract meaningful insights from real-time data using Amazon Bedrock and Amazon Nova

In this post, we show how Netsertive introduced a generative AI-powered assistant into MLX, using Amazon Bedrock and Amazon Nova, to bring their next generation of the platform to life.

Exploring accessible audio descriptions with Amazon Nova

In this post, we demonstrate how we combined Amazon Nova, Amazon Rekognition, and Amazon Polly to automate the creation of accessible audio descriptions for video content. This approach can significantly reduce the time and cost required to make videos accessible for visually disabled audiences.

A diagram illustrating the high-level workflow of VideoAmp's Natural Language Analytics solution

How VideoAmp uses Amazon Bedrock to power their media analytics interface

In this post, we illustrate how VideoAmp, a media measurement company, worked with the AWS Generative AI Innovation Center (GenAIIC) team to develop a prototype of the VideoAmp Natural Language (NL) Analytics Chatbot to uncover meaningful insights at scale within media analytics data using Amazon Bedrock.

Solution architecture diagram

Adobe enhances developer productivity using Amazon Bedrock Knowledge Bases

Adobe partnered with the AWS Generative AI Innovation Center, using Amazon Bedrock Knowledge Bases and the Vector Engine for Amazon OpenSearch Serverless. This solution dramatically improved their developer support system, resulting in a 20% increase in retrieval accuracy. In this post, we discuss the details of this solution and how Adobe enhances their developer productivity.

How Gardenia Technologies helps customers create ESG disclosure reports 75% faster using agentic generative AI on Amazon Bedrock

Gardenia Technologies, a data analytics company, partnered with the AWS Prototyping and Cloud Engineering (PACE) team to develop Report GenAI, a fully automated ESG reporting solution powered by the latest generative AI models on Amazon Bedrock. This post dives deep into the technology behind an agentic search solution using tooling with Retrieval Augmented Generation (RAG) and text-to-SQL capabilities to help customers reduce ESG reporting time by up to 75%. We demonstrate how AWS serverless technology, combined with agents in Amazon Bedrock, are used to build scalable and highly flexible agent-based document assistant applications.

NVIDIA Nemotron Super 49B and Nano 8B reasoning models now available in Amazon Bedrock Marketplace and Amazon SageMaker JumpStart

The Llama 3.3 Nemotron Super 49B V1 and Llama 3.1 Nemotron Nano 8B V1 are now available in Amazon Bedrock Marketplace and Amazon SageMaker JumpStart. With this launch, you can now deploy NVIDIA’s newest reasoning models to build, experiment, and responsibly scale your generative AI ideas on AWS.

Solution Architecture

Automate customer support with Amazon Bedrock, LangGraph, and Mistral models

In this post, we demonstrate how to use Amazon Bedrock and LangGraph to build a personalized customer support experience for an ecommerce retailer. By integrating the Mistral Large 2 and Pixtral Large models, we guide you through automating key customer support workflows such as ticket categorization, order details extraction, damage assessment, and generating contextual responses.