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How Miro uses Amazon Bedrock to boost software bug routing accuracy and improve time-to-resolution from days to hours

How Miro uses Amazon Bedrock to boost software bug routing accuracy and improve time-to-resolution from days to hours

This post is co-authored with Philipp Pavlov, Dmytro Romantsov, Evgeny Mironenko, and Gowri Suryanarayana from Miro. Miro is an AI-powered innovation workspace that serves over 95 million users globally, helping teams transform unstructured ideas into organized workflows. To support this scale and continue enhancing their system, Miro’s developer experience team decided to create an innovation …

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Amazon Quick: Accelerating the path from enterprise data to AI-powered decisions

Amazon Quick: Accelerating the path from enterprise data to AI-powered decisions

Enterprise data with tens of millions of rows, row-level and column-level security, and dozens of datasets spanning multiple business domains need AI-generated answers that are trustworthy, reproducible, and fast, while respecting governance rules consistently. With foundation models (FMs), organizations can build systems that work well for small datasets where a business user asks a question …

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Halliburton enhances seismic workflow creation with Amazon Bedrock and Generative AI

Halliburton enhances seismic workflow creation with Amazon Bedrock and Generative AI

Seismic data analysis is an essential component of energy exploration, but configuring complex processing workflows has traditionally been a time-consuming and error-prone challenge. Halliburton’s Seismic Engine, a cloud-native application for seismic data processing, is a powerful tool that previously required manual configuration of approximately 100 specialized tools to create workflows. This process was not only …

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Secure short-term GPU capacity for ML workloads with EC2 Capacity Blocks for ML and SageMaker training plans

Secure short-term GPU capacity for ML workloads with EC2 Capacity Blocks for ML and SageMaker training plans

As companies of various sizes adopt graphic processing units (GPU)-based machine learning (ML) training, fine-tuning and inference workloads, the demand for GPU capacity has outpaced industry-wide supply. This imbalance has made GPUs a scarce resource, creating a challenge for customers who need reliable access to GPU compute resources for their ML workloads. When you encounter …

Secure short-term GPU capacity for ML workloads with EC2 Capacity Blocks for ML and SageMaker training plans Read More »

Overcoming reward signal challenges: Verifiable rewards-based reinforcement learning with GRPO on SageMaker AI

Overcoming reward signal challenges: Verifiable rewards-based reinforcement learning with GRPO on SageMaker AI

Training large language models requires accurate feedback signals, but traditional reinforcement learning (RL) often struggles with reward signal reliability. The quality of these signals directly influences how models learn and make decisions. However, creating robust feedback mechanisms can be complex and error prone. Real-world training scenarios often introduce hidden biases, unintended incentives, and ambiguous success …

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Agents that transact: Introducing Amazon Bedrock AgentCore Payments, built with Coinbase and Stripe

Agents that transact: Introducing Amazon Bedrock AgentCore Payments, built with Coinbase and Stripe

We’re in the midst of a fundamental shift in how software gets built and used. AI agents are moving beyond assistants that wait for instructions. They call APIs, access MCP servers, coordinate with other agents, and complete complex multi-step tasks on behalf of users. As agents take on increasingly diverse tasks, the ecosystem around them …

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Cost effective deployment of vision-language models for pet behavior detection on AWS Inferentia2

Cost effective deployment of vision-language models for pet behavior detection on AWS Inferentia2

Tomofun, the Taiwan-headquartered pet-tech startup behind the Furbo Pet Camera, is redefining how pet owners interact with their pets remotely. Furbo combines smart cameras with AI to detect behaviors such as barking, running, or unusual activity, and alerts owners in real time. At the core of this capability are computer vision and vision-language models that …

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