Amazon Web Services (AWS)’s Post

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Swami Sivasubramanian, AWS VP of Agentic AI, highlights how Amazon Bedrock AgentCore simplifies building AI agents. Deploy securely at scale, create personalized experiences with seamless tool integration, and gain real-time visibility into agent performance. #AWS #AgenticAI #AI #ArtificialIntelligence #MachineLearning🎥 Bonus: See how our AI calls leads in under 3 minutes — every time: https://lnkd.in/diuSCU7R 📆 Book a quick call: https://lnkd.in/dAnQxrSb

Love how AWS is pushing the boundaries with AgentCore! 🚀 Secure deployment, real-time performance visibility, and personalized experiences make it a powerful toolkit for building next-gen AI agents. Excited to see how this shapes the future of agentic AI! 📽️ Demo: https://youtu.be/VI008QN1qnQ 📅 Book a call: https://calendar.app.google/8fg8brm6wbR7hCUw6

This is a great point about the increasing importance of AI agents that are not only intelligent but also manageable and secure. The ability to deploy at scale and gain real-time visibility into performance is crucial for enterprise adoption. Thanks for sharing, Swami! Well Done Amazon Web Services (AWS)

Amazon Bedrock AgentCore sounds like a solid step forward—making AI agents easier to build, scale, and monitor is exactly what businesses need to stay competitive. Excited to see how this boosts real-world applications!

With AgentCore, building AI agents that adapt and perform at scale is truly simpler than ever.

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È interessante notare come Amazon Bedrock AgentCore stia semplificando la creazione di agenti intelligenti. Tuttavia, quali sono le sfide più significative che avete incontrato nel garantire la sicurezza e la scalabilità durante il loro sviluppo? La sicurezza è cruciale in questi ambiti.