Amazon SageMaker

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Use K8sGPT and Amazon Bedrock for simplified Kubernetes cluster maintenance

Amazon Bedrock, Amazon Elastic Kubernetes Service, Amazon Machine Learning, Amazon SageMaker, Amazon SageMaker AI, Artificial Intelligence /

As Kubernetes clusters grow in complexity, managing them efficiently becomes increasingly challenging. Troubleshooting modern Kubernetes environments requires deep expertise across multiple domains—networking, storage, security, and the expanding ecosystem of CNCF plugins. With Kubernetes now hosting mission-critical workloads, rapid issue resolution has become paramount to maintaining business continuity. Integrating advanced generative AI tools like K8sGPT and […]

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Accelerating data science innovation: How Bayer Crop Science used AWS AI/ML services to build their next-generation MLOps service

Amazon API Gateway, Amazon EventBridge, Amazon Q, Amazon Q Business, Amazon Q Developer, Amazon SageMaker, Amazon SageMaker Data & AI Governance, Artificial Intelligence, Customer Solutions, Generative AI /

The world’s population is expanding at a rapid rate. The growing global population requires innovative solutions to produce food, fiber, and fuel, while restoring natural resources like soil and water and addressing climate change. Bayer Crop Science estimates farmers need to increase crop production by 50% by 2050 to meet these demands. To support their

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Qwen3 family of reasoning models now available in Amazon Bedrock Marketplace and Amazon SageMaker JumpStart

Advanced (300), Amazon Bedrock, Amazon SageMaker, Amazon SageMaker JumpStart, Announcements, Featured, Technical How-to /

Today, we are excited to announce that Qwen3, the latest generation of large language models (LLMs) in the Qwen family, is available through Amazon Bedrock Marketplace and Amazon SageMaker JumpStart. With this launch, you can deploy the Qwen3 models—available in 0.6B, 4B, 8B, and 32B parameter sizes—to build, experiment, and responsibly scale your generative AI

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End-to-End model training and deployment with Amazon SageMaker Unified Studio

Advanced (300), AIML, Amazon SageMaker, Amazon SageMaker Unified Studio, Foundation models, Generative AI, Technical How-to /

Although rapid generative AI advancements are revolutionizing organizational natural language processing tasks, developers and data scientists face significant challenges customizing these large models. These hurdles include managing complex workflows, efficiently preparing large datasets for fine-tuning, implementing sophisticated fine-tuning techniques while optimizing computational resources, consistently tracking model performance, and achieving reliable, scalable deployment.The fragmented nature of

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Choosing the right approach for generative AI-powered structured data retrieval

AI/ML, Amazon Bedrock, Amazon Bedrock Knowledge Bases, Amazon Machine Learning, Amazon Q Business, Amazon QuickSight, Amazon Redshift, Amazon SageMaker, Amazon SageMaker AI, Generative AI, Generative BI, Natural Language Processing /

Organizations want direct answers to their business questions without the complexity of writing SQL queries or navigating through business intelligence (BI) dashboards to extract data from structured data stores. Examples of structured data include tables, databases, and data warehouses that conform to a predefined schema. Large language model (LLM)-powered natural language query systems transform how

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Build and deploy AI inference workflows with new enhancements to the Amazon SageMaker Python SDK

Amazon SageMaker, Amazon SageMaker AI, Artificial Intelligence /

Amazon SageMaker Inference has been a popular tool for deploying advanced machine learning (ML) and generative AI models at scale. As AI applications become increasingly complex, customers want to deploy multiple models in a coordinated group that collectively process inference requests for an application. In addition, with the evolution of generative AI applications, many use

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Using Amazon SageMaker AI Random Cut Forest for NASA’s Blue Origin spacecraft sensor data

Aerospace & Satellite, Amazon SageMaker, Amazon SageMaker AI, Amazon Simple Storage Service (S3), Amazon VPC, Artificial Intelligence, Intermediate (200), Python, Technical How-to /

The successful deorbit, descent, and landing of spacecraft on the Moon requires precise control and monitoring of vehicle dynamics. Anomaly detection provides a unique utility for identifying important states that might represent vehicle behaviors of interest. By producing unique vehicle behavior points, critical spacecraft system states can be identified to be more appropriately addressed and

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Power Your LLM Training and Evaluation with the New SageMaker AI Generative AI Tools

Amazon SageMaker, Amazon SageMaker AI, Announcements, Artificial Intelligence, Generative AI /

Today we are excited to introduce the Text Ranking and Question and Answer UI templates to SageMaker AI customers. The Text Ranking template enables human annotators to rank multiple responses from a large language model (LLM) based on custom criteria, such as relevance, clarity, or factual accuracy. This ranked feedback provides critical insights that help

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No-code data preparation for time series forecasting using Amazon SageMaker Canvas

Amazon SageMaker, Amazon SageMaker Data Wrangler, Intermediate (200), Technical How-to /

Time series forecasting helps businesses predict future trends based on historical data patterns, whether it’s for sales projections, inventory management, or demand forecasting. Traditional approaches require extensive knowledge of statistical methods and data science methods to process raw time series data. Amazon SageMaker Canvas offers no-code solutions that simplify data wrangling, making time series forecasting

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Build a scalable AI video generator using Amazon SageMaker AI and CogVideoX

Amazon SageMaker, Amazon SageMaker AI, Artificial Intelligence, Generative AI, Intermediate (200) /

In recent years, the rapid advancement of artificial intelligence and machine learning (AI/ML) technologies has revolutionized various aspects of digital content creation. One particularly exciting development is the emergence of video generation capabilities, which offer unprecedented opportunities for companies across diverse industries. This technology allows for the creation of short video clips that can be

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