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

This post was co-written with Herb Brittner from Netsertive. Netsertive is a leading digital marketing solutions provider for multi-location brands and franchises, helping businesses maximize local advertising, improve engagement, and gain deep customer insights. With a growing demand in providing more actionable insights from their customer call tracking data, Netsertive needed a solution that could […]

Make videos accessible with automated audio descriptions using Amazon Nova

According to the World Health Organization, more than 2.2 billion people globally have vision impairment. For compliance with disability legislation, such as the Americans with Disabilities Act (ADA) in the United States, media in visual formats like television shows or movies are required to provide accessibility to visually impaired people. This often comes in the […]

Training Llama 3.3 Swallow: A Japanese sovereign LLM on Amazon SageMaker HyperPod

This post is based on a technical report written by Kazuki Fujii, who led the Llama 3.3 Swallow model development. The Institute of Science Tokyo has successfully trained Llama 3.3 Swallow, a 70-billion-parameter large language model (LLM) with enhanced Japanese capabilities, using Amazon SageMaker HyperPod. The model demonstrates superior performance in Japanese language tasks, outperforming […]

Accelerating Articul8’s domain-specific model development with Amazon SageMaker HyperPod

This post was co-written with Renato Nascimento, Felipe Viana, Andre Von Zuben from Articul8. Generative AI is reshaping industries, offering new efficiencies, automation, and innovation. However, generative AI requires powerful, scalable, and resilient infrastructures that optimize large-scale model training, providing rapid iteration and efficient compute utilization with purpose-built infrastructure and automated cluster management. In this […]

How VideoAmp uses Amazon Bedrock to power their media analytics interface

This post was co-written with Suzanne Willard and Makoto Uchida from VideoAmp. 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 […]

Adobe enhances developer productivity using Amazon Bedrock Knowledge Bases

Adobe Inc. excels in providing a comprehensive suite of creative tools that empower artists, designers, and developers across various digital disciplines. Their product landscape is the backbone of countless creative projects worldwide, ranging from web design and photo editing to vector graphics and video production. Adobe’s internal developers use a vast array of wiki pages, […]

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

This post was co-written with Federico Thibaud, Neil Holloway, Fraser Price, Christian Dunn, and Frederica Schrager from Gardenia Technologies “What gets measured gets managed” has become a guiding principle for organizations worldwide as they begin their sustainability and environmental, social, and governance (ESG) journeys. Companies are establishing baselines to track their progress, supported by an expanding framework of reporting standards, […]

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

This post is co-written with Eliuth Triana Isaza, Abhishek Sawarkar, and Abdullahi Olaoye from NVIDIA. Today, we are excited to announce that the Llama 3.3 Nemotron Super 49B V1 and Llama 3.1 Nemotron Nano 8B V1 are available in Amazon Bedrock Marketplace and Amazon SageMaker JumpStart. With this launch, you can now deploy NVIDIA’s newest reasoning models to […]

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

AI agents are transforming the landscape of customer support by bridging the gap between large language models (LLMs) and real-world applications. These intelligent, autonomous systems are poised to revolutionize customer service across industries, ushering in a new era of human-AI collaboration and problem-solving. By harnessing the power of LLMs and integrating them with specialized tools […]