I have attended the 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈 𝐂𝐨𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞 by Data Science Dojo on 𝐒𝐞𝐩𝐭𝐞𝐦𝐛𝐞𝐫 𝟏𝟓–𝟏𝟗, 𝟐𝟎𝟐𝟓. This virtual conference brings together top industry experts to explore the building blocks of agentic AI – from memory, cognition, and planning to multi‑agent coordination, secure MCP deployment, and hands‑on tutorials with cutting‑edge frameworks. Here is a concise summary of the three Agentic AI Conference sessions I attended.
💡 Architecting Scalable Multi-Agent Workflows
This session explored strategies to build and operate multi-agent AI systems at scale, progressing from simple coordination to advanced orchestration. Industry experts shared methods to ensure effective communication, division of tasks, and state consistency across autonomous agents. Best practices were discussed for designing agentic architectures that maintain reliability, enable inter-agent collaboration, and support real-world, production-level deployments.
💡 Managing Security and Governance in MCP Deployment
Panelists addressed security and governance concerns when deploying Model Context Protocol (MCP) in AI ecosystems. They highlighted frameworks and operational controls needed to safeguard data, enforce compliance, and promote responsible, auditable use of agentic systems. Topics included access management, risk mitigation, and case studies illustrating best practices for keeping AI deployments safe and aligned with regulatory expectations.
💡 Tutorial: Going Beyond the Chatbot with GitHub Webhooks
This hands-on session demonstrated how to design event-driven AI agents that respond autonomously to real-world triggers by integrating with GitHub webhooks. Attendees learned to build agents capable of monitoring GitHub pull requests and executing actions (such as automated code review or closure) without human intervention. The tutorial covered connecting agentic workflows to external events, automating development processes, and implementing practical use cases for autonomous agents beyond conventional chatbots. These sessions collectively highlighted current best practices and innovative frameworks that push agentic AI beyond theoretical models and into scalable, secure, and industry-ready solutions.
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