AI

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

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

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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Ray Kurzweil ’70 reinforces his optimism in tech progress

Innovator, futurist, and author Ray Kurzweil ’70 emphasized his optimism about artificial intelligence, and technological progress generally, in a lecture on Wednesday while accepting MIT’s Robert A. Muh Alumni Award from the School of Humanities, Arts, and Social Sciences (SHASS). Kurzweil offered his signature high-profile forecasts about how AI and computing will entirely blend with human

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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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Customizing text content moderation with Amazon Nova

Consider a growing social media platform that processes millions of user posts daily. Their content moderation team faces a familiar challenge: their rule-based system flags a cooking video discussing “knife techniques” as violent content, frustrating users, while simultaneously missing a veiled threat disguised as a restaurant review. When they try a general-purpose AI moderation service,

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