2026 GET-AI SERIES: 5 . Connect AI to Enterprise Data

Artificial Intelligence is rapidly evolving from generating content and improving individual productivity to securely interacting with enterprise systems, applications, APIs, and organizational data. As AI assistants and agents become more capable, organizations need standardized and governed ways to provide them with the context, tools, and business capabilities required to perform meaningful work.
Following our July session on Driving Business Efficiency with AI, the IEEE Orange County Computer Society GET-AI Series continues with a practical, demo-driven August session focused on the Model Context Protocol (MCP) and its role in connecting AI to enterprise data and systems.
This double-feature session will first introduce MCP fundamentals, including its architecture, core components, tools, resources, prompts, and the development of a simple MCP server. The second session will build on that foundation by demonstrating how MCP can be used to connect AI assistants and agents with enterprise applications, APIs, databases, and business workflows.
By combining foundational concepts with real-world integration patterns and live demonstrations, the August session will help attendees understand how MCP enables secure, scalable, and intelligent enterprise AI solutions.
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🔒 August Focus: Connect AI to Enterprise Data
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Session 1: MCP Foundations—Building Your First Model Context Protocol Server (45 mins)
Through practical explanations and live demonstrations, this session introduces the Model Context Protocol (MCP) and explains how it enables AI assistants and agents to securely connect with external tools, applications, APIs, and data sources. Attendees will learn how MCP provides a standardized framework for supplying AI systems with the context and capabilities required to perform meaningful tasks.
The session will move from core concepts to a hands-on demonstration of building and connecting a simple MCP server.
Topics include:
– What MCP is and why it matters in the AI era
– MCP architecture and core components
– MCP Hosts, Clients, and Servers
– Tools, Resources, and Prompts
– Connecting AI assistants to external data and capabilities
– Building a simple MCP server
– Defining and exposing an MCP tool
👉 Takeaway: Understand how MCP connects AI assistants and agents with external systems, and learn how to build a basic MCP server that exposes tools, resources, and prompts through a standardized interface.
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Session 2: Connecting Enterprise AI Using MCP (45 mins)
Building on the MCP foundations introduced in Session 1, this session explores how organizations can use the Model Context Protocol (MCP) to connect AI assistants and agents with enterprise applications, APIs, databases, knowledge sources, and business workflows. Through architecture examples and live demonstrations, attendees will learn how MCP can enable secure, scalable, and governed access to enterprise capabilities.
The session will focus on moving from a basic MCP implementation to practical enterprise use cases that support intelligent workflows and real-world business outcomes.
Topics include:
– Connecting AI assistants and agents to enterprise systems using MCP
– Exposing enterprise APIs, applications, and data as MCP capabilities
– Integrating databases, file repositories, business systems, and knowledge sources
– Combining MCP with Retrieval-Augmented Generation and semantic search
– Designing secure and governed access to enterprise data
– Authentication, authorization, and access-control considerations
– Orchestrating multi-step workflows across enterprise systems
👉 Takeaway: Learn how to use MCP to securely connect AI assistants and agents with enterprise applications, data, and workflows, enabling intelligent automation, faster access to business information, and scalable enterprise AI solutions.
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About the Organizer
Pradyumna Kodgi
Principal Product Manager | Oracle Health & AI
IEEE Senior Member | Vice Chair, IEEE EMBS – Orange County
Member, IEEE AI Agentic Systems & AI Policy Committees
📍 California, USA
📧 pkodgi@ieee.org
🔗 linkedin.com/in/pkodgi
Co-sponsored by: Pradyumna Kodgi
Agenda:
August Session Agenda
4:30 PM – 5:00 PM — Registration, Check-In & Networking
5:00 PM – 5:15 PM — Welcome, Introductions & Opening Remarks
Google Meet opens at 5:00 PM. Virtual attendees may join at this time.
5:15 PM – 6:00 PM — Session 1: MCP Foundations—Building Your First Model Context Protocol Server
6:00 PM – 6:15 PM — Dinner & Networking
6:15 PM – 7:00 PM — Session 2: Connecting Enterprise AI Using MCP
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🎯 Who Should Attend
– Business leaders and executives
– Sales and marketing professionals
– Product managers and consultants
– Software engineers and developers
– Enterprise and solution architects
– AI practitioners and technology leaders
– Students and professionals interested in enterprise AI
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What You’ll Walk Away With
– A practical understanding of how Model Context Protocol (MCP) connects AI assistants and agents with external tools, applications, APIs, and enterprise data
– A clear view of MCP architecture, including Hosts, Clients, Servers, Tools, Resources, and Prompts
– Hands-on insight into building and connecting a simple MCP server
– Practical strategies for exposing enterprise data and business capabilities through MCP
– Real-world patterns for connecting AI with applications, databases, APIs, and knowledge sources
– Best practices for security, governance, scalability, and responsible enterprise AI integration
This session will equip attendees with the practical knowledge needed to understand MCP, build foundational MCP capabilities, and apply the protocol to create secure, scalable, and intelligent enterprise AI solutions.
Room: Emerald Cove Conference Room, Bldg: Beall Applied Innovation, 5270 California Ave, 2nd Floor , IRVINE, California, United States, 92617, Virtual: https://events.vtools.ieee.org/m/570942