Data & AI Governance, Data & AI Scaling
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MCP At Scale : Why Every Organization Needs a MCP Strategy

About the talk

The Model Context Protocol (MCP) is redefining how Large Language Models (LLMs) interact with enterprise systems—enabling deeper contextual understanding, scalable API integration, and dynamic access to organizational resources. But with this transformative capability comes a new set of challenges. This presentation explores both the promise and complexity of MCP. We will cover how to deploy MCP at scale, align MCP Servers with software and data domains, navigate emerging security concerns, and develop robust evaluation frameworks to measure LLM accuracy and alignment in context-rich interactions. We will also dive into the advanced capabilities MCP enables—such as context elicitation, strategic sampling, dynamic prompt construction, and tool orchestration—and present a practical blueprint for successful implementation across a variety of organizational settings. Whether you're a developer, architect, innovation lead or AI leader, this session will equip you with the conceptual clarity and actionable guidance needed to bring MCP into production responsibly and effectively.

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