Capture the "Why": Building Context Graphs for Explainable AI Agents on AWS

As AI systems evolve from simple chatbots to autonomous agents, one major challenge remains:

👉 How do we capture the “why” behind AI decisions?

We’re excited to welcome Darya Petrashka, AWS Community Builder and Senior Data Scientist at SLB, for a practical and forward-looking deep dive into Context Graphs and explainable AI agents on AWS.

Talk Title:
"Capture the 'Why': Building Context Graphs for Explainable AI Agents on AWS"

In this session, you’ll learn:

• How to move beyond the “State Clock” to the “Event Clock”
• How Context Graphs help AI agents retain reasoning, precedents, and institutional knowledge
• How to build a minimal POC using Amazon Bedrock AgentCore and Strands
• How semantic and episodic memory can reduce hallucinations and improve explainability
• A live financial decisioning use case for regulated environments

Darya is an AWS Community Builder and Senior Data Scientist at SLB, passionate about NLP, GenAI, and building practical AI systems using AWS services.

📅 Date: Saturday, May 30th, 2026
🕙 Time: 10:00 AM EST
💻 Virtual Meetup
👉 Zoom link: https://us02web.zoom.us/j/85452989163?pwd=aJWWjbwcjKjXb8DI1ODFhTxTCycB19.1

If you're interested in AI agents, memory systems, explainability, and the future of enterprise GenAI architectures, this session is for you 🚀
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