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DTSTART:20261101T010000
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DTSTAMP:20260806T070312Z
UID:C1190E2A-5C7B-431D-A18A-8BE4A57E360F
DTSTART;TZID=America/Los_Angeles:20260831T170000
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DESCRIPTION:Artificial Intelligence is rapidly evolving from generating con
 tent and improving individual productivity to securely interacting with en
 terprise systems\, applications\, APIs\, and organizational data. As AI as
 sistants 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.\n\nFollowing our July se
 ssion on Driving Business Efficiency with AI\, the IEEE Orange County Comp
 uter Society GET-AI Series continues with a practical\, demo-driven August
  session focused on the Model Context Protocol (MCP) and its role in conne
 cting AI to enterprise data and systems.\n\nThis double-feature session wi
 ll first introduce MCP fundamentals\, including its architecture\, core co
 mponents\, tools\, resources\, prompts\, and the development of a simple M
 CP server. The second session will build on that foundation by demonstrati
 ng how MCP can be used to connect AI assistants and agents with enterprise
  applications\, APIs\, databases\, and business workflows.\n\nBy combining
  foundational concepts with real-world integration patterns and live demon
 strations\, the August session will help attendees understand how MCP enab
 les secure\, scalable\, and intelligent enterprise AI solutions.\n\n------
 ---------------------------------------------------------\n\n🔒 August F
 ocus: Connect AI to Enterprise Data\n\n[]\n\nSession 1: MCP Foundations—
 Building Your First Model Context Protocol Server (45 mins)\n\nThrough pra
 ctical 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\, an
 d data sources. Attendees will learn how MCP provides a standardized frame
 work for supplying AI systems with the context and capabilities required t
 o perform meaningful tasks.\n\nThe session will move from core concepts to
  a hands-on demonstration of building and connecting a simple MCP server.\
 n\nTopics include:\n\n- What MCP is and why it matters in the AI era\n- MC
 P architecture and core components\n- MCP Hosts\, Clients\, and Servers\n-
  Tools\, Resources\, and Prompts\n- Connecting AI assistants to external d
 ata and capabilities\n- Building a simple MCP server\n- Defining and expos
 ing an MCP tool\n\n👉 Takeaway: Understand how MCP connects AI assistant
 s and agents with external systems\, and learn how to build a basic MCP se
 rver that exposes tools\, resources\, and prompts through a standardized i
 nterface.\n\n-------------------------------------------------------------
 --\n\nSession 2: Connecting Enterprise AI Using MCP (45 mins)\n\nBuilding 
 on the MCP foundations introduced in Session 1\, this session explores how
  organizations can use the Model Context Protocol (MCP) to connect AI assi
 stants and agents with enterprise applications\, APIs\, databases\, knowle
 dge sources\, and business workflows. Through architecture examples and li
 ve demonstrations\, attendees will learn how MCP can enable secure\, scala
 ble\, and governed access to enterprise capabilities.\n\nThe session will 
 focus on moving from a basic MCP implementation to practical enterprise us
 e cases that support intelligent workflows and real-world business outcome
 s.\n\nTopics include:\n\n- Connecting AI assistants and agents to enterpri
 se systems using MCP\n- Exposing enterprise APIs\, applications\, and data
  as MCP capabilities\n- Integrating databases\, file repositories\, busine
 ss systems\, and knowledge sources\n- Combining MCP with Retrieval-Augment
 ed 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 sys
 tems\n\n👉 Takeaway: Learn how to use MCP to securely connect AI assista
 nts and agents with enterprise applications\, data\, and workflows\, enabl
 ing intelligent automation\, faster access to business information\, and s
 calable enterprise AI solutions.\n----------------------------------------
 -----------------------\n\nAbout the Organizer\n\nPradyumna Kodgi\nPrincip
 al Product Manager | Oracle Health &amp; AI\nIEEE Senior Member | Vice Chair\,
  IEEE EMBS – Orange County\nMember\, IEEE AI Agentic Systems &amp; AI Policy
  Committees\n\n📍 California\, USA\n📧 pkodgi@ieee.org\n🔗 linkedin.
 com/in/pkodgi\n\nCo-sponsored by: Pradyumna Kodgi\n\nSpeaker(s): Laxman Ta
 nk\n\nAgenda: \nAugust Session Agenda\n\n4:30 PM – 5:00 PM — Registrat
 ion\, Check-In &amp; Networking\n\n5:00 PM – 5:15 PM — Welcome\, Introduct
 ions &amp; Opening Remarks\nGoogle Meet opens at 5:00 PM. Virtual attendees ma
 y join at this time.\n\n5:15 PM – 6:00 PM — Session 1: MCP Foundations
 —Building Your First Model Context Protocol Server\n\n6:00 PM – 6:15 P
 M — Dinner &amp; Networking\n\n6:15 PM – 7:00 PM — Session 2: Connecting
  Enterprise AI Using MCP\n------------------------------------------------
 ---------------\n\nThis session will equip attendees with the practical kn
 owledge needed to understand MCP\, build foundational MCP capabilities\, a
 nd apply the protocol to create secure\, scalable\, and intelligent enterp
 rise AI solutions.\n\nRoom: Emerald Cove Conference Room\, Bldg: Beall App
 lied Innovation\, 5270 California Ave\, 2nd Floor \, IRVINE\, California\,
  United States\, 92617\, Virtual: https://events.vtools.ieee.org/m/570942
LOCATION:Room: Emerald Cove Conference Room\, Bldg: Beall Applied Innovatio
 n\, 5270 California Ave\, 2nd Floor \, IRVINE\, California\, United States
 \, 92617\, Virtual: https://events.vtools.ieee.org/m/570942
ORGANIZER:pkodgi@ieee.org
SEQUENCE:20
SUMMARY:2026 GET-AI SERIES: 5 . Connect AI to Enterprise Data
URL;VALUE=URI:https://events.vtools.ieee.org/m/570942
X-ALT-DESC:Description: &lt;br /&gt;&lt;p data-start=&quot;0&quot; data-end=&quot;409&quot;&gt;&amp;nbsp\;&lt;/p&gt;\
 n&lt;p class=&quot;PDq2pG_selectionAnchorContainer&quot; data-start=&quot;0&quot; data-end=&quot;402&quot;&gt;
 Artificial Intelligence is rapidly evolving from generating content and im
 proving individual productivity to securely interacting with enterprise sy
 stems\, applications\, APIs\, and organizational data. As AI assistants an
 d agents become more capable\, organizations need standardized and governe
 d ways to provide them with the context\, tools\, and business capabilitie
 s required to perform meaningful work.&lt;/p&gt;\n&lt;p data-start=&quot;404&quot; data-end=&quot;
 693&quot;&gt;Following our July session on &lt;strong data-start=&quot;434&quot; data-end=&quot;473&quot;
 &gt;Driving Business Efficiency with AI&lt;/strong&gt;\, the IEEE Orange County Com
 puter Society GET-AI Series continues with a practical\, demo-driven Augus
 t session focused on the &lt;strong data-start=&quot;599&quot; data-end=&quot;631&quot;&gt;Model Con
 text Protocol (MCP)&lt;/strong&gt; and its role in connecting AI to enterprise d
 ata and systems.&lt;/p&gt;\n&lt;p class=&quot;&quot; data-start=&quot;695&quot; data-end=&quot;1070&quot;&gt;This do
 uble-feature session will first introduce MCP fundamentals\, including its
  architecture\, core components\, tools\, resources\, prompts\, and the de
 velopment of a simple MCP server. The second session will build on that fo
 undation by demonstrating how MCP can be used to connect AI assistants and
  agents with enterprise applications\, APIs\, databases\, and business wor
 kflows.&lt;/p&gt;\n&lt;p data-start=&quot;1072&quot; data-end=&quot;1293&quot; data-is-last-node=&quot;&quot; dat
 a-is-only-node=&quot;&quot;&gt;By combining foundational concepts with real-world integ
 ration patterns and live demonstrations\, the August session will help att
 endees understand how MCP enables secure\, scalable\, and intelligent ente
 rprise AI solutions.&lt;/p&gt;\n&lt;p data-start=&quot;411&quot; data-end=&quot;643&quot;&gt;&amp;nbsp\;&lt;/p&gt;\n
 &lt;hr data-start=&quot;751&quot; data-end=&quot;754&quot;&gt;\n&lt;h2 data-section-id=&quot;7mtamf&quot; data-st
 art=&quot;756&quot; data-end=&quot;795&quot;&gt;🔒 August Focus: &amp;nbsp\;Connect AI to Enterpris
 e Data&lt;br&gt;&lt;br&gt;&lt;img src=&quot;https://events.vtools.ieee.org/vtools_ui/media/dis
 play/7ace20be-5b58-4a02-8b76-fcb1de3a92ed&quot; alt=&quot;&quot; width=&quot;961&quot; height=&quot;541&quot;
 &gt;&lt;/h2&gt;\n&lt;h3 class=&quot;PDq2pG_selectionAnchorContainer&quot; data-section-id=&quot;nlw2d
 i&quot; data-start=&quot;0&quot; data-end=&quot;90&quot;&gt;Session 1: MCP Foundations&amp;mdash\;Building
  Your First Model Context Protocol Server (45 mins)&lt;/h3&gt;\n&lt;p data-start=&quot;9
 2&quot; data-end=&quot;500&quot;&gt;Through practical explanations and live demonstrations\,
  this session introduces the &lt;strong data-start=&quot;176&quot; data-end=&quot;208&quot;&gt;Model
  Context Protocol (MCP)&lt;/strong&gt; 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 f
 ramework for supplying AI systems with the context and capabilities requir
 ed to perform meaningful tasks.&lt;/p&gt;\n&lt;p data-start=&quot;502&quot; data-end=&quot;618&quot;&gt;Th
 e session will move from core concepts to a hands-on demonstration of buil
 ding and connecting a simple MCP server.&lt;/p&gt;\n&lt;p data-start=&quot;620&quot; data-end
 =&quot;639&quot;&gt;&lt;strong data-start=&quot;620&quot; data-end=&quot;639&quot;&gt;Topics include:&lt;/strong&gt;&lt;/p
 &gt;\n&lt;ul data-start=&quot;641&quot; data-end=&quot;1094&quot;&gt;\n&lt;li data-section-id=&quot;bpuzi&quot; data
 -start=&quot;641&quot; data-end=&quot;689&quot;&gt;What MCP is and why it matters in the AI era&lt;/
 li&gt;\n&lt;li data-section-id=&quot;conf73&quot; data-start=&quot;690&quot; data-end=&quot;730&quot;&gt;MCP arch
 itecture and core components&lt;/li&gt;\n&lt;li data-section-id=&quot;1noywb6&quot; data-star
 t=&quot;731&quot; data-end=&quot;766&quot;&gt;MCP Hosts\, Clients\, and Servers&lt;/li&gt;\n&lt;li data-se
 ction-id=&quot;1vzq8yu&quot; data-start=&quot;767&quot; data-end=&quot;800&quot;&gt;Tools\, Resources\, and
  Prompts&lt;/li&gt;\n&lt;li data-section-id=&quot;79550y&quot; data-start=&quot;801&quot; data-end=&quot;863
 &quot;&gt;Connecting AI assistants to external data and capabilities&lt;/li&gt;\n&lt;li dat
 a-section-id=&quot;eqy9ey&quot; data-start=&quot;864&quot; data-end=&quot;896&quot;&gt;Building a simple MC
 P server&lt;/li&gt;\n&lt;li data-section-id=&quot;1312dvf&quot; data-start=&quot;897&quot; data-end=&quot;93
 4&quot;&gt;Defining and exposing an MCP tool&lt;/li&gt;\n&lt;/ul&gt;\n&lt;p data-start=&quot;1096&quot; dat
 a-end=&quot;1307&quot; data-is-last-node=&quot;&quot; data-is-only-node=&quot;&quot;&gt;👉 &lt;strong data-s
 tart=&quot;1099&quot; data-end=&quot;1112&quot;&gt;Takeaway:&lt;/strong&gt; 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 s
 tandardized interface.&lt;/p&gt;\n&lt;p data-start=&quot;1521&quot; data-end=&quot;1770&quot;&gt;&amp;nbsp\;&lt;/
 p&gt;\n&lt;hr data-start=&quot;2353&quot; data-end=&quot;2356&quot;&gt;\n&lt;h3 class=&quot;PDq2pG_selectionAnc
 horContainer&quot; data-section-id=&quot;1kwt2pe&quot; data-start=&quot;0&quot; data-end=&quot;59&quot;&gt;Sessi
 on 2: Connecting Enterprise AI Using MCP (45 mins)&lt;/h3&gt;\n&lt;p data-start=&quot;61
 &quot; data-end=&quot;489&quot;&gt;Building on the MCP foundations introduced in Session 1\,
  this session explores how organizations can use the &lt;strong data-start=&quot;1
 70&quot; data-end=&quot;202&quot;&gt;Model Context Protocol (MCP)&lt;/strong&gt; to connect AI ass
 istants and agents with enterprise applications\, APIs\, databases\, knowl
 edge sources\, and business workflows. Through architecture examples and l
 ive demonstrations\, attendees will learn how MCP can enable secure\, scal
 able\, and governed access to enterprise capabilities.&lt;/p&gt;\n&lt;p data-start=
 &quot;491&quot; data-end=&quot;658&quot;&gt;The session will focus on moving from a basic MCP imp
 lementation to practical enterprise use cases that support intelligent wor
 kflows and real-world business outcomes.&lt;/p&gt;\n&lt;p data-start=&quot;660&quot; data-end
 =&quot;679&quot;&gt;&lt;strong data-start=&quot;660&quot; data-end=&quot;679&quot;&gt;Topics include:&lt;/strong&gt;&lt;/p
 &gt;\n&lt;ul data-start=&quot;681&quot; data-end=&quot;1374&quot;&gt;\n&lt;li data-section-id=&quot;rol6mw&quot; dat
 a-start=&quot;681&quot; data-end=&quot;752&quot;&gt;Connecting AI assistants and agents to enterp
 rise systems using MCP&lt;/li&gt;\n&lt;li data-section-id=&quot;myple7&quot; data-start=&quot;753&quot;
  data-end=&quot;825&quot;&gt;Exposing enterprise APIs\, applications\, and data as MCP 
 capabilities&lt;/li&gt;\n&lt;li data-section-id=&quot;cwblsx&quot; data-start=&quot;826&quot; data-end=
 &quot;911&quot;&gt;Integrating databases\, file repositories\, business systems\, and k
 nowledge sources&lt;/li&gt;\n&lt;li data-section-id=&quot;d5ru8i&quot; data-start=&quot;912&quot; data-
 end=&quot;985&quot;&gt;Combining MCP with Retrieval-Augmented Generation and semantic s
 earch&lt;/li&gt;\n&lt;li data-section-id=&quot;sionui&quot; data-start=&quot;986&quot; data-end=&quot;1045&quot;&gt;
 Designing secure and governed access to enterprise data&lt;/li&gt;\n&lt;li data-sec
 tion-id=&quot;vysln7&quot; data-start=&quot;1046&quot; data-end=&quot;1114&quot;&gt;Authentication\, author
 ization\, and access-control considerations&lt;/li&gt;\n&lt;li data-section-id=&quot;fb5
 w9d&quot; data-start=&quot;1115&quot; data-end=&quot;1179&quot;&gt;Orchestrating multi-step workflows 
 across enterprise systems&lt;/li&gt;\n&lt;/ul&gt;\n&lt;p data-start=&quot;1376&quot; data-end=&quot;1619
 &quot; data-is-last-node=&quot;&quot; data-is-only-node=&quot;&quot;&gt;👉 &lt;strong data-start=&quot;1379&quot;
  data-end=&quot;1392&quot;&gt;Takeaway:&lt;/strong&gt; Learn how to use MCP to securely conne
 ct AI assistants and agents with enterprise applications\, data\, and work
 flows\, enabling intelligent automation\, faster access to business inform
 ation\, and scalable enterprise AI solutions.&lt;/p&gt;\n&lt;hr data-start=&quot;2785&quot; d
 ata-end=&quot;2788&quot;&gt;\n&lt;h2 data-section-id=&quot;14d6kv4&quot; data-start=&quot;2790&quot; data-end=
 &quot;2812&quot;&gt;About the Organizer&lt;/h2&gt;\n&lt;p data-start=&quot;2814&quot; data-end=&quot;3002&quot;&gt;&lt;str
 ong data-start=&quot;2814&quot; data-end=&quot;2833&quot;&gt;Pradyumna Kodgi&lt;/strong&gt;&lt;br data-sta
 rt=&quot;2833&quot; data-end=&quot;2836&quot;&gt;Principal Product Manager | Oracle Health &amp;amp\;
  AI&lt;br data-start=&quot;2882&quot; data-end=&quot;2885&quot;&gt;IEEE Senior Member | Vice Chair\,
  IEEE EMBS &amp;ndash\; Orange County&lt;br data-start=&quot;2943&quot; data-end=&quot;2946&quot;&gt;Mem
 ber\, IEEE AI Agentic Systems &amp;amp\; AI Policy Committees&lt;/p&gt;\n&lt;p data-sta
 rt=&quot;3004&quot; data-end=&quot;3073&quot;&gt;📍 California\, USA&lt;br data-start=&quot;3022&quot; data-
 end=&quot;3025&quot;&gt;📧 &lt;a class=&quot;decorated-link cursor-pointer&quot; rel=&quot;noopener&quot; da
 ta-start=&quot;3028&quot; data-end=&quot;3043&quot;&gt;pkodgi@ieee.org&lt;/a&gt;&lt;br data-start=&quot;3043&quot; d
 ata-end=&quot;3046&quot;&gt;🔗 linkedin.com/in/pkodgi&lt;/p&gt;&lt;br /&gt;&lt;br /&gt;Agenda: &lt;br /&gt;&lt;p
 &gt;&amp;nbsp\;&lt;/p&gt;\n&lt;h3 class=&quot;PDq2pG_selectionAnchorContainer&quot; data-section-id=
 &quot;j4135a&quot; data-start=&quot;0&quot; data-end=&quot;14&quot;&gt;&amp;nbsp\;&lt;/h3&gt;\n&lt;h3 class=&quot;PDq2pG_sele
 ctionAnchorContainer&quot; data-section-id=&quot;17ai1td&quot; data-start=&quot;0&quot; data-end=&quot;2
 5&quot;&gt;August Session Agenda&lt;/h3&gt;\n&lt;p data-start=&quot;27&quot; data-end=&quot;88&quot;&gt;&lt;strong da
 ta-start=&quot;27&quot; data-end=&quot;48&quot;&gt;4:30 PM &amp;ndash\; 5:00 PM&lt;/strong&gt; &amp;mdash\; Reg
 istration\, Check-In &amp;amp\; Networking&lt;/p&gt;\n&lt;p data-start=&quot;90&quot; data-end=&quot;2
 29&quot;&gt;&lt;strong data-start=&quot;90&quot; data-end=&quot;111&quot;&gt;5:00 PM &amp;ndash\; 5:15 PM&lt;/stron
 g&gt; &amp;mdash\; Welcome\, Introductions &amp;amp\; Opening Remarks&lt;br data-start=&quot;
 154&quot; data-end=&quot;157&quot;&gt;&lt;em data-start=&quot;157&quot; data-end=&quot;229&quot;&gt;Google Meet opens 
 at 5:00 PM. Virtual attendees may join at this time.&lt;/em&gt;&lt;/p&gt;\n&lt;p data-sta
 rt=&quot;231&quot; data-end=&quot;335&quot;&gt;&lt;strong data-start=&quot;231&quot; data-end=&quot;252&quot;&gt;5:15 PM &amp;n
 dash\; 6:00 PM&lt;/strong&gt; &amp;mdash\; &lt;strong data-start=&quot;255&quot; data-end=&quot;335&quot;&gt;S
 ession 1: MCP Foundations&amp;mdash\;Building Your First Model Context Protoco
 l Server&lt;/strong&gt;&lt;/p&gt;\n&lt;p data-start=&quot;337&quot; data-end=&quot;382&quot;&gt;&lt;strong data-sta
 rt=&quot;337&quot; data-end=&quot;358&quot;&gt;6:00 PM &amp;ndash\; 6:15 PM&lt;/strong&gt; &amp;mdash\; Dinner 
 &amp;amp\; Networking&lt;/p&gt;\n&lt;p data-start=&quot;384&quot; data-end=&quot;457&quot; data-is-last-nod
 e=&quot;&quot; data-is-only-node=&quot;&quot;&gt;&lt;strong data-start=&quot;384&quot; data-end=&quot;405&quot;&gt;6:15 PM 
 &amp;ndash\; 7:00 PM&lt;/strong&gt; &amp;mdash\; &lt;strong data-start=&quot;408&quot; data-end=&quot;457&quot;
  data-is-last-node=&quot;&quot;&gt;Session 2: Connecting Enterprise AI Using MCP&lt;/stron
 g&gt;&lt;/p&gt;\n&lt;div contenteditable=&quot;false&quot;&gt;&lt;hr&gt;&lt;/div&gt;\n&lt;p data-start=&quot;898&quot; data-
 end=&quot;1115&quot; data-is-last-node=&quot;&quot; data-is-only-node=&quot;&quot;&gt;This session will equ
 ip 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.&lt;/p&gt;
END:VEVENT
END:VCALENDAR