In this article, we explore how KTern.AI transformed a traditional software-as-a-service (SaaS) platform into an agentic AI solution using Amazon Bedrock AgentCore. The process involved orchestrating multiple specialized agents with persistent context and secure tool access, ensuring production-grade reliability.

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Practical summary of the latest updates around Enhancing enterprise inference on Amazon SageMaker HyperPod with data capture, Hugging Face, NVMe, and Route 53 integration, with implications for engineering teams.

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Practical summary of the latest updates around Building and connecting a production-ready ecommerce MCP server using Amazon Bedrock AgentCore and Mistral AI Studio, with implications for engineering teams.

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Practical summary of the latest updates around Build a serverless image editing agent with Amazon Bedrock AgentCore harness, with implications for engineering teams.

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Practical summary of the latest updates around Streaming benchmark and recommendation results to MLflow with Amazon SageMaker AI, with implications for engineering teams.

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Practical summary of the latest updates around Best practices for multi-turn reinforcement learning in Amazon SageMaker AI, with implications for engineering teams.

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Practical summary of the latest updates around HippoRAG: Neurobiologically inspired RAG using Amazon Bedrock, Amazon Neptune, and personalized PageRank, with implications for engineering teams.

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Practical summary of the latest updates around Building bilingual NER for cargo logistics with Amazon Bedrock, with implications for engineering teams.

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Practical summary of the latest updates around Multi-tenant LLM analytics with row-level security: How we built a secure agent on AWS, with implications for engineering teams.

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Practical summary of the latest updates around HP Inc. launches Frontier strategic partnership with OpenAI, with implications for engineering teams.

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