Talk Overview

Duration: 1 Hour

We will delve into how MCP serves as the "missing piece" in current AI agent architectures, enabling them to move beyond static, pre-trained knowledge to perform complex, adaptive tasks. The protocol defines a set of rules for contextual deficit detection, dynamic knowledge retrieval, and intelligent context integration. Attendees will discover how MCP allows agents to proactively identify gaps in their understanding, query external data sources or human experts, and seamlessly incorporate new information into their decision-making process. Through practical examples and live demonstrations, we will showcase how implementing MCP can drastically improve the performance, reliability, and autonomy of your AI agent systems. Join us to learn how MCP can unlock the full potential of your AI agents, making them truly intelligent and context-aware collaborators.

Sheamus McGovern

Founder of ODSC, Head of AI and VP - Cortical Ventures

Sheamus McGovern is the founder of ODSC (The Open Data Science Conference). He is also a software architect, data engineer, and AI expert. He started his career in finance by building stock and bond trading systems and risk assessment platforms and has worked for numerous financial institutions and quant hedge funds. Over the last decade, Sheamus has consulted with dozens of companies and startups to build leading-edge data-driven applications in finance, healthcare, eCommerce, and venture capital. He holds degrees from Northeastern University, Boston University, Harvard University, and a CQF in Quantitative Finance.

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