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DTSTART;TZID=America/Los_Angeles:20260831T170000
DTEND;TZID=America/Los_Angeles:20260831T190000
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UID:78720-1788195600-1788202800@svec.org
SUMMARY:2026 GET-AI SERIES: 5 . Connect AI to Enterprise Data
DESCRIPTION: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.\nFollowing 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.\nThis 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.\nBy 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.\n—————————————————————\n🔒 August Focus: Connect AI to Enterprise Data\n[]\nSession 1: MCP Foundations—Building Your First Model Context Protocol Server (45 mins)\nThrough 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.\nThe session will move from core concepts to a hands-on demonstration of building and connecting a simple MCP server.\nTopics include:\n– What MCP is and why it matters in the AI era\n– MCP architecture and core components\n– MCP Hosts\, Clients\, and Servers\n– Tools\, Resources\, and Prompts\n– Connecting AI assistants to external data and capabilities\n– Building a simple MCP server\n– Defining and exposing an MCP tool\n👉 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.\n—————————————————————\nSession 2: Connecting Enterprise AI Using MCP (45 mins)\nBuilding 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.\nThe session will focus on moving from a basic MCP implementation to practical enterprise use cases that support intelligent workflows and real-world business outcomes.\nTopics include:\n– Connecting AI assistants and agents to enterprise systems using MCP\n– Exposing enterprise APIs\, applications\, and data as MCP capabilities\n– Integrating databases\, file repositories\, business systems\, and knowledge sources\n– Combining MCP with Retrieval-Augmented Generation and semantic search\n– Designing secure and governed access to enterprise data\n– Authentication\, authorization\, and access-control considerations\n– Orchestrating multi-step workflows across enterprise systems\n👉 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.\n—————————————————————\nAbout the Organizer\nPradyumna Kodgi\nPrincipal Product Manager | Oracle Health & AI\nIEEE Senior Member | Vice Chair\, IEEE EMBS – Orange County\nMember\, IEEE AI Agentic Systems & AI Policy Committees\n📍 California\, USA\n📧 pkodgi@ieee.org\n🔗 linkedin.com/in/pkodgi\nCo-sponsored by: Pradyumna Kodgi\nAgenda:\nAugust Session Agenda\n4:30 PM – 5:00 PM — Registration\, Check-In & Networking\n5:00 PM – 5:15 PM — Welcome\, Introductions & Opening Remarks\nGoogle Meet opens at 5:00 PM. Virtual attendees may join at this time.\n5:15 PM – 6:00 PM — Session 1: MCP Foundations—Building Your First Model Context Protocol Server\n6:00 PM – 6:15 PM — Dinner & Networking\n6:15 PM – 7:00 PM — Session 2: Connecting Enterprise AI Using MCP\n—————————————————————\n🎯 Who Should Attend\n– Business leaders and executives\n– Sales and marketing professionals\n– Product managers and consultants\n– Software engineers and developers\n– Enterprise and solution architects\n– AI practitioners and technology leaders\n– Students and professionals interested in enterprise AI\n—————————————————————\nWhat You’ll Walk Away With\n– A practical understanding of how Model Context Protocol (MCP) connects AI assistants and agents with external tools\, applications\, APIs\, and enterprise data\n– A clear view of MCP architecture\, including Hosts\, Clients\, Servers\, Tools\, Resources\, and Prompts\n– Hands-on insight into building and connecting a simple MCP server\n– Practical strategies for exposing enterprise data and business capabilities through MCP\n– Real-world patterns for connecting AI with applications\, databases\, APIs\, and knowledge sources\n– Best practices for security\, governance\, scalability\, and responsible enterprise AI integration\nThis 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.\nRoom: 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
URL:https://svec.org/event/2026-get-ai-series-5-connect-ai-to-enterprise-data/
LOCATION: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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260831T170000
DTEND;TZID=America/Los_Angeles:20260831T190000
DTSTAMP:20260802T190307Z
CREATED:20260802T190307Z
LAST-MODIFIED:20260802T190307Z
UID:78721-1788195600-1788202800@svec.org
SUMMARY:2026 GET-AI SERIES: 5 . Connect AI to Enterprise Data
DESCRIPTION: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.\nFollowing 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.\nThis 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.\nBy 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.\n—————————————————————\n🔒 August Focus: Connect AI to Enterprise Data\n[]\nSession 1: MCP Foundations—Building Your First Model Context Protocol Server (45 mins)\nThrough 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.\nThe session will move from core concepts to a hands-on demonstration of building and connecting a simple MCP server.\nTopics include:\n– What MCP is and why it matters in the AI era\n– MCP architecture and core components\n– MCP Hosts\, Clients\, and Servers\n– Tools\, Resources\, and Prompts\n– Connecting AI assistants to external data and capabilities\n– Building a simple MCP server\n– Defining and exposing an MCP tool\n👉 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.\n—————————————————————\nSession 2: Connecting Enterprise AI Using MCP (45 mins)\nBuilding 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.\nThe session will focus on moving from a basic MCP implementation to practical enterprise use cases that support intelligent workflows and real-world business outcomes.\nTopics include:\n– Connecting AI assistants and agents to enterprise systems using MCP\n– Exposing enterprise APIs\, applications\, and data as MCP capabilities\n– Integrating databases\, file repositories\, business systems\, and knowledge sources\n– Combining MCP with Retrieval-Augmented Generation and semantic search\n– Designing secure and governed access to enterprise data\n– Authentication\, authorization\, and access-control considerations\n– Orchestrating multi-step workflows across enterprise systems\n👉 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.\n—————————————————————\nAbout the Organizer\nPradyumna Kodgi\nPrincipal Product Manager | Oracle Health & AI\nIEEE Senior Member | Vice Chair\, IEEE EMBS – Orange County\nMember\, IEEE AI Agentic Systems & AI Policy Committees\n📍 California\, USA\n📧 pkodgi@ieee.org\n🔗 linkedin.com/in/pkodgi\nCo-sponsored by: Pradyumna Kodgi\nAgenda:\nAugust Session Agenda\n4:30 PM – 5:00 PM — Registration\, Check-In & Networking\n5:00 PM – 5:15 PM — Welcome\, Introductions & Opening Remarks\nGoogle Meet opens at 5:00 PM. Virtual attendees may join at this time.\n5:15 PM – 6:00 PM — Session 1: MCP Foundations—Building Your First Model Context Protocol Server\n6:00 PM – 6:15 PM — Dinner & Networking\n6:15 PM – 7:00 PM — Session 2: Connecting Enterprise AI Using MCP\n—————————————————————\n🎯 Who Should Attend\n– Business leaders and executives\n– Sales and marketing professionals\n– Product managers and consultants\n– Software engineers and developers\n– Enterprise and solution architects\n– AI practitioners and technology leaders\n– Students and professionals interested in enterprise AI\n—————————————————————\nWhat You’ll Walk Away With\n– A practical understanding of how Model Context Protocol (MCP) connects AI assistants and agents with external tools\, applications\, APIs\, and enterprise data\n– A clear view of MCP architecture\, including Hosts\, Clients\, Servers\, Tools\, Resources\, and Prompts\n– Hands-on insight into building and connecting a simple MCP server\n– Practical strategies for exposing enterprise data and business capabilities through MCP\n– Real-world patterns for connecting AI with applications\, databases\, APIs\, and knowledge sources\n– Best practices for security\, governance\, scalability\, and responsible enterprise AI integration\nThis 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.\nRoom: 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
URL:https://svec.org/event/2026-get-ai-series-5-connect-ai-to-enterprise-data-2/
LOCATION: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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260831T170000
DTEND;TZID=America/Los_Angeles:20260831T190000
DTSTAMP:20260814T193357Z
CREATED:20260814T193357Z
LAST-MODIFIED:20260814T193357Z
UID:78765-1788195600-1788202800@svec.org
SUMMARY:Robust Control of Distributed Parameter Systems
DESCRIPTION:Abstract:\nWe review some important robust control problems for distributed parameter systems: robust stabilization\, mixed sensitivity minimization\, and strong stabilization (feedback stabilization by a stable controller). Computational tools are presented for finding infinite-dimensional optimal controllers. Alternative finite-dimensional controller design methods are illustrated via a benchmark example (retarded time-delay systems with finitely many unstable poles). Also\, a new family of robust controllers is presented for a large class of unstable distributed parameter systems\, and related open problems are discussed.\nSpeaker(s): Dr. Hitay Özbay\nAgenda:\n5:00 – 5:30 – Networking and light dinner (for in person attendees)\n5:30 – 6:30 – Talk and Q & A\n6:30 – 7:00 – Wrap up and Networking\nRoom: 1302\, Bldg: SCDI – Sobrato Campus of Discovery and Innovation \, Santa Clara University\, 500 El Camino Real\, Santa Clara\, California\, United States\, 95053\, Virtual: https://events.vtools.ieee.org/m/572387
URL:https://svec.org/event/robust-control-of-distributed-parameter-systems/
LOCATION:Room: 1302\, Bldg: SCDI – Sobrato Campus of Discovery and Innovation \, Santa Clara University\, 500 El Camino Real\, Santa Clara\, California\, United States\, 95053\, Virtual: https://events.vtools.ieee.org/m/572387
END:VEVENT
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