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Transforming the physical world with AI: the next frontier in intelligent automation 

Transforming the physical world with AI: the next frontier in intelligent automation 

The convergence of artificial intelligence with physical systems marks a pivotal moment in technological evolution. Physical AI, where algorithms transcend digital boundaries to perceive, understand, and manipulate the tangible world, will fundamentally transform how enterprises operate across industries. These intelligent systems bridge the gap between digital intelligence and physical reality, unlocking unprecedented opportunities for efficiency …

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Medical reports analysis dashboard using Amazon Bedrock, LangChain, and Streamlit

Medical reports analysis dashboard using Amazon Bedrock, LangChain, and Streamlit

In healthcare, the ability to quickly analyze and interpret medical reports is crucial for both healthcare providers and patients. While medical reports contain valuable information, they often remain underutilized due to their complex nature and the time-intensive process of analysis. This complexity manifests in several ways: the interpretation of multiple parameters and their relationships (such …

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Kitsa transforms clinical trial site selection with Amazon Quick Automate

Kitsa transforms clinical trial site selection with Amazon Quick Automate

This post was written with Ajay Nyamati from Kitsa. The clinical trial industry conducts medical research studies to evaluate the safety, efficacy, and effectiveness of new drugs, treatments, or medical devices before they reach the market. The industry is a cornerstone of medical innovation, yet it continues to face a fundamental bottleneck: selection of the …

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Connect Amazon Quick Suite to enterprise apps and agents with MCP

Connect Amazon Quick Suite to enterprise apps and agents with MCP

Organizations need solutions for people and AI agents to securely collaborate through a single interface to the organization’s data and take actions across enterprise applications to improve productivity. The ability of an AI agent to securely and seamlessly connect with organizational knowledge bases, enterprise applications, and other AI agents is foundational to drive adoption and …

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Make agents a reality with Amazon Bedrock AgentCore: Now generally available

Make agents a reality with Amazon Bedrock AgentCore: Now generally available

Get agents out of prototype purgatory and into production with security, scalability, and reliability When we launched AWS in 2006, we believed that cloud computing would transform how organizations build and scale technology. We’re now at a similar inflection point with AI agents. We envision a world where billions of agents work together, transforming everything …

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Use Amazon SageMaker HyperPod and Anyscale for next-generation distributed computing

Use Amazon SageMaker HyperPod and Anyscale for next-generation distributed computing

This post was written with Dominic Catalano from Anyscale. Organizations building and deploying large-scale AI models often face critical infrastructure challenges that can directly impact their bottom line: unstable training clusters that fail mid-job, inefficient resource utilization driving up costs, and complex distributed computing frameworks requiring specialized expertise. These factors can lead to unused GPU …

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