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Deploying AI agents safely in regulated industries is challenging... Without proper boundaries, agents that access sensitive data or execute transactions can pose significant security risks... Unlike traditional software, an AI agent chooses actions to achieve a goal by invoking tools, accessing data, and adapting its reasoning using data from its environment and users... This autonomy is precisel...

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As organizations scale their cloud infrastructure, maintaining proper lifecycle management of Amazon Machine Images (AMIs) is a critical component of their security and risk management goals... AMIs provide the essential information required to launch Amazon Elastic Compute Cloud (Amazon EC2) instances, however; they present security and compliance challenges if not tracked and managed thro...

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This post shows you how to build a scalable multimodal video search system that enables natural language search across large video datasets using Amazon Nova models and Amazon OpenSearch Service... You will learn how to move beyond manual tagging and keyword-based searches to enable semantic search that captures the full richness of video content... We demonstrate this at scale by processing 792,...

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While pre-trained models offer strong capabilities for general speech, fine-tuning for specific domains and use cases can enhance accuracy and performance... In this post, we explore how to fine-tune a leaderboard-topping, NVIDIA Nemotron Speech Automatic Speech Recognition (ASR) model; Parakeet TDT 0...24xlarge with NVIDIA A100 GPUs) for distributed training at scale NVIDIA NeMo framework for...

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The war in Iran has roiled the outlook for financial markets and the global economy, but commodities are clearly benefiting from the turmoil as prices rise for energy and other raw materials... “Aluminum prices are already rising, and further disruption could increase input costs for automotive, aerospace, and construction manufacturing in the US and Europe...”Soaring energy prices will l...

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Increasingly, that work involves agents... Our core observation: when agentic AI works, it looks less like magic software and more like a well-run team—each agent with a clear job, a supervisor, a playbook, and a way to improve over time... If you then ask, “Which specific workflows are materially better today because of AI agents, and how do we know?”, the room gets quiet... Here we establ...