Operating agentic AI with Amazon Bedrock AgentCore and Datadog LLM Observability: Lessons from NTT DATA

Tohn Furutani, an SRE Engineer at NTT DATA, discusses the evolution and challenges of implementing agentic AI systems, which are capable of making context-based decisions and executing multistep actions. He highlights the shift from single-use generative AI applications to more complex agentic systems that require not only accuracy and speed but also security, visibility, and consistent behavior in enterprise environments. To address these needs, NTT DATA adopted Amazon Bedrock AgentCore to standardize the execution platform and Datadog LLM Observability to enhance the visibility and evaluation of agentic actions and reasoning. This combination allows for better understanding and continuous improvement of the AI systems' decision-making processes. Through standardization and collaboration with AWS and Datadog, NTT DATA aims to create reusable solutions and share insights to support the adoption of operable and explainable agentic AI in enterprises.

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