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DTSTART:20260308T030000
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DTSTART:20261101T010000
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DTSTART;TZID=America/Los_Angeles:20260928T170000
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DESCRIPTION:Artificial Intelligence is rapidly progressing from systems tha
 t generate responses to intelligent agents capable of reasoning\, planning
 \, using tools\, maintaining context\, and executing multi-step tasks. As 
 organizations move toward agentic AI\, the opportunity is no longer limite
 d to helping employees find information—it is increasingly about enablin
 g AI systems to participate in and automate real business processes.\n\nFo
 llowing our August session on Connecting AI to Enterprise Data using Model
  Context Protocol (MCP)\, the IEEE Orange County Computer Society GET-AI S
 eries continues in September with a practical\, demo-driven exploration of
  AI Agents and Autonomous Operations.\n\nThis double-feature session begin
 s with the foundations of agentic AI—what makes an AI system an agent\, 
 how agents reason and plan\, how they use tools\, memory\, and context\, a
 nd how to build a simple agent capable of completing a multi-step task. Th
 e second session builds on those concepts to explore how autonomous and mu
 lti-agent systems can orchestrate complex enterprise workflows while maint
 aining security\, governance\, observability\, human oversight\, and opera
 tional reliability.\n\nBy combining foundational concepts with architectur
 e patterns and live demonstrations\, the September session will help atten
 dees understand how organizations can progress from AI assistance to intel
 ligent\, governed autonomous operations.\n--------------------------------
 -------------------------------\n\n[]\n\nSession 1: AI Agents 101: Build Y
 our First Intelligent Agent\n\n45 minutes\n\nThrough practical explanation
 s and a live demonstration\, this session introduces the fundamentals of A
 gentic AI and explains how AI agents differ from traditional chatbots and 
 standalone LLM applications.\n\nAttendees will explore the core building b
 locks of an AI agent\, including reasoning\, planning\, memory\, context\,
  tools\, and actions. The session will then demonstrate how these componen
 ts work together by building a simple agent capable of interpreting a goal
 \, selecting appropriate tools\, executing multiple steps\, and returning 
 a meaningful result.\n\nTopics Include\n\n-  What Is an AI Agent? From Ass
 istants to Agentic AI\n\n- Core Agent Components: Reasoning\, Planning\, M
 emory &amp; Actions\n- Tools\, Function Calling &amp; Context Management\n- Human-
 in-the-Loop Controls and Common Agent Design Patterns\n- Build and Demonst
 rate a Simple Multi-Step AI Agent\n\n👉 Takeaway\n\nUnderstand how AI ag
 ents reason\, plan\, use tools\, and take actions—and learn how to build
  a basic intelligent agent capable of executing a multi-step task.\n\n----
 -----------------------------------------------------------\n\nSession 2: 
 Autonomous Enterprise AI: Orchestrating Agents\, Tools &amp; Business Workflow
 s\n\nBuilding on the agent foundations introduced in Session 1\, this sess
 ion explores what it takes to move from a single AI agent to reliable\, go
 verned autonomous enterprise operations.\n\nAttendees will examine archite
 cture patterns for orchestrating agents across applications\, APIs\, enter
 prise data\, and business processes. The session will explore when to use 
 a single agent versus multiple specialized agents\, how agents collaborate
  and delegate tasks\, and how organizations can maintain control through a
 pprovals\, identity\, policy\, observability\, evaluation\, and operationa
 l guardrails.\n\nThe session will also examine the production challenges t
 hat arise when agents begin taking actions—including incorrect tool sele
 ction\, uncontrolled loops\, unreliable outputs\, excessive autonomy\, and
  failure recovery—and practical strategies for addressing them.\n\nA liv
 e demonstration can showcase an end-to-end autonomous workflow in which an
  agent receives a business objective\, gathers context\, selects tools\, p
 erforms multiple steps\, requests approval when appropriate\, and complete
 s the workflow.\n\nTopics Include\n\n- From AI Agents to Autonomous Operat
 ions\n\n- Enterprise Agent Architecture: Single-Agent &amp; Multi-Agent System
 s\n- Agent Orchestration\, Delegation &amp; Enterprise Tool Integration\n- Gov
 ernance\, Human Oversight\, Observability &amp; Failure Recovery\n- Production
 -Ready Agentic Systems with Live End-to-End Demonstration\n\n👉 Takeaway
 \n\nLearn how to design secure\, observable\, and governed agentic systems
  that coordinate tools\, data\, and business processes to enable reliable 
 autonomous enterprise operations.\n---------------------------------------
 ------------------------\n\nAbout the Organizer\n\nPradyumna Kodgi\nPrinci
 pal Product Manager | Oracle Health &amp; AI\nIEEE Senior Member | Vice Chair\
 , IEEE EMBS – Orange County\nMember\, IEEE AI Agentic Systems &amp; AI Polic
 y Committees\n\n📍 California\, USA\n📧 pkodgi@ieee.org\n🔗 linkedin
 .com/in/pkodgi\n\nCo-sponsored by: Pradyumna Kodgi\n\nAgenda: \nSeptember 
 Session Agenda\n\nFollowing the same format as August:\n\n4:30 PM – 5:00
  PM — Registration\, Check-In &amp; Networking\n\n5:00 PM – 5:15 PM — We
 lcome\, Introductions &amp; Opening Remarks\nGoogle Meet opens at 5:00 PM. Vir
 tual attendees may join at this time.\n\n5:15 PM – 6:00 PM — Session 1
 : AI Agents 101 — Build Your First Intelligent Agent\n\n6:00 PM – 6:15
  PM — Dinner &amp; Networking\n\n6:15 PM – 7:00 PM — Session 2: Autonomo
 us Enterprise AI — Orchestrating Agents\, Tools &amp; Business Workflows\n\n
 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/575018
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/575018
ORGANIZER:pkodgi@ieee.org
SEQUENCE:41
SUMMARY:2026 GET-AI SERIES: 6 — Enabling Autonomous Operations
URL;VALUE=URI:https://events.vtools.ieee.org/m/575018
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;1118&quot; data-end=&quot;15
 38&quot;&gt;Artificial Intelligence is rapidly progressing from systems that gener
 ate responses to intelligent agents capable of reasoning\, planning\, usin
 g tools\, maintaining context\, and executing multi-step tasks. As organiz
 ations move toward agentic AI\, the opportunity is no longer limited to he
 lping employees find information&amp;mdash\;it is increasingly about enabling 
 AI systems to participate in and automate real business processes.&lt;/p&gt;\n&lt;p
  data-start=&quot;1540&quot; data-end=&quot;1807&quot;&gt;Following our August session on &lt;strong
  data-start=&quot;1572&quot; data-end=&quot;1643&quot;&gt;Connecting AI to Enterprise Data using 
 Model Context Protocol (MCP)&lt;/strong&gt;\, the IEEE Orange County Computer So
 ciety GET-AI Series continues in September with a practical\, demo-driven 
 exploration of &lt;strong data-start=&quot;1767&quot; data-end=&quot;1806&quot;&gt;AI Agents and Aut
 onomous Operations&lt;/strong&gt;.&lt;/p&gt;\n&lt;p data-start=&quot;1809&quot; data-end=&quot;2294&quot;&gt;Thi
 s double-feature session begins with the foundations of agentic AI&amp;mdash\;
 what makes an AI system an agent\, how agents reason and plan\, how they u
 se tools\, memory\, and context\, and how to build a simple agent capable 
 of completing a multi-step task. The second session builds on those concep
 ts to explore how autonomous and multi-agent systems can orchestrate compl
 ex enterprise workflows while maintaining security\, governance\, observab
 ility\, human oversight\, and operational reliability.&lt;/p&gt;\n&lt;p data-start=
 &quot;2296&quot; data-end=&quot;2537&quot;&gt;By combining foundational concepts with architectur
 e patterns and live demonstrations\, the September session will help atten
 dees understand how organizations can progress from &lt;strong data-start=&quot;24
 72&quot; data-end=&quot;2537&quot;&gt;AI assistance to intelligent\, governed autonomous ope
 rations.&lt;/strong&gt;&lt;/p&gt;\n&lt;hr data-start=&quot;751&quot; data-end=&quot;754&quot;&gt;\n&lt;h2 data-sect
 ion-id=&quot;7mtamf&quot; data-start=&quot;756&quot; data-end=&quot;795&quot;&gt;&lt;img src=&quot;https://events.v
 tools.ieee.org/vtools_ui/media/display/113abf2e-ffa3-4b51-a265-f439d742183
 a&quot; alt=&quot;&quot; width=&quot;1067&quot; height=&quot;1067&quot;&gt;&lt;/h2&gt;\n&lt;h2 data-section-id=&quot;7mtamf&quot; d
 ata-start=&quot;756&quot; data-end=&quot;795&quot;&gt;&lt;span role=&quot;text&quot;&gt;&lt;strong data-start=&quot;2581&quot;
  data-end=&quot;2634&quot;&gt;Session 1: AI Agents 101: Build Your First Intelligent Ag
 ent&lt;/strong&gt;&lt;/span&gt;&lt;/h2&gt;\n&lt;p data-start=&quot;2637&quot; data-end=&quot;2651&quot;&gt;&lt;strong dat
 a-start=&quot;2637&quot; data-end=&quot;2651&quot;&gt;45 minutes&lt;/strong&gt;&lt;/p&gt;\n&lt;p data-start=&quot;265
 3&quot; data-end=&quot;2861&quot;&gt;Through practical explanations and a live demonstration
 \, this session introduces the fundamentals of &lt;strong data-start=&quot;2754&quot; d
 ata-end=&quot;2768&quot;&gt;Agentic AI&lt;/strong&gt; and explains how AI agents differ from 
 traditional chatbots and standalone LLM applications.&lt;/p&gt;\n&lt;p data-start=&quot;
 2863&quot; data-end=&quot;3212&quot;&gt;Attendees will explore the core building blocks of a
 n AI agent\, including reasoning\, planning\, memory\, context\, tools\, a
 nd actions. The session will then demonstrate how these components work to
 gether by building a simple agent capable of interpreting a goal\, selecti
 ng appropriate tools\, executing multiple steps\, and returning a meaningf
 ul result.&lt;/p&gt;\n&lt;h3 data-section-id=&quot;1rbyca0&quot; data-start=&quot;3214&quot; data-end=&quot;
 3232&quot;&gt;Topics Include&lt;/h3&gt;\n&lt;ul data-start=&quot;3234&quot; data-end=&quot;3601&quot;&gt;\n&lt;li dat
 a-section-id=&quot;1y8pijd&quot; data-start=&quot;3234&quot; data-end=&quot;3256&quot;&gt;&amp;nbsp\;What Is an
  AI Agent? From Assistants to Agentic AI&lt;/li&gt;\n&lt;/ul&gt;\n&lt;ul&gt;\n&lt;li data-secti
 on-id=&quot;1l6zpdr&quot; data-start=&quot;57&quot; data-end=&quot;123&quot;&gt;Core Agent Components: Reas
 oning\, Planning\, Memory &amp;amp\; Actions&lt;/li&gt;\n&lt;li data-section-id=&quot;1dka08
 5&quot; data-start=&quot;124&quot; data-end=&quot;174&quot;&gt;Tools\, Function Calling &amp;amp\; Context
  Management&lt;/li&gt;\n&lt;li data-section-id=&quot;kls1a2&quot; data-start=&quot;175&quot; data-end=&quot;
 240&quot;&gt;Human-in-the-Loop Controls and Common Agent Design Patterns&lt;/li&gt;\n&lt;li
  data-section-id=&quot;141s1h&quot; data-start=&quot;241&quot; data-end=&quot;297&quot; data-is-last-nod
 e=&quot;&quot;&gt;Build and Demonstrate a Simple Multi-Step AI Agent&amp;nbsp\;&lt;/li&gt;\n&lt;/ul&gt;
 \n&lt;h3 data-section-id=&quot;q6w97r&quot; data-start=&quot;3603&quot; data-end=&quot;3618&quot;&gt;👉 Take
 away&lt;/h3&gt;\n&lt;p data-start=&quot;3620&quot; data-end=&quot;3779&quot;&gt;&lt;strong data-start=&quot;3620&quot; 
 data-end=&quot;3779&quot;&gt;Understand how AI agents reason\, plan\, use tools\, and t
 ake actions&amp;mdash\;and learn how to build a basic intelligent agent capabl
 e of executing a multi-step task.&lt;/strong&gt;&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_selectionAnchorContainer&quot; data-section-id=&quot;1kwt2pe&quot; data-start=&quot;0&quot;
  data-end=&quot;59&quot;&gt;&lt;strong&gt;Session 2: Autonomous Enterprise AI: Orchestrating 
 Agents\, Tools &amp;amp\; Business Workflows&lt;/strong&gt;&lt;/h3&gt;\n&lt;p class=&quot;PDq2pG_s
 electionAnchorContainer&quot; data-start=&quot;3923&quot; data-end=&quot;4108&quot;&gt;Building on the
  agent foundations introduced in Session 1\, this session explores what it
  takes to move from a single AI agent to &lt;strong data-start=&quot;4052&quot; data-en
 d=&quot;4107&quot;&gt;reliable\, governed autonomous enterprise operations&lt;/strong&gt;.&lt;/p
 &gt;\n&lt;p data-start=&quot;4110&quot; data-end=&quot;4513&quot;&gt;Attendees will examine architectur
 e patterns for orchestrating agents across applications\, APIs\, enterpris
 e data\, and business processes. The session will explore when to use a si
 ngle agent versus multiple specialized agents\, how agents collaborate and
  delegate tasks\, and how organizations can maintain control through appro
 vals\, identity\, policy\, observability\, evaluation\, and operational gu
 ardrails.&lt;/p&gt;\n&lt;p data-start=&quot;4515&quot; data-end=&quot;4777&quot;&gt;The session will also 
 examine the production challenges that arise when agents begin taking acti
 ons&amp;mdash\;including incorrect tool selection\, uncontrolled loops\, unrel
 iable outputs\, excessive autonomy\, and failure recovery&amp;mdash\;and pract
 ical strategies for addressing them.&lt;/p&gt;\n&lt;p data-start=&quot;4779&quot; data-end=&quot;5
 020&quot;&gt;A live demonstration can showcase an &lt;strong data-start=&quot;4816&quot; data-e
 nd=&quot;4850&quot;&gt;end-to-end autonomous workflow&lt;/strong&gt; in which an agent receiv
 es a business objective\, gathers context\, selects tools\, performs multi
 ple steps\, requests approval when appropriate\, and completes the workflo
 w.&lt;/p&gt;\n&lt;h3 data-section-id=&quot;1rbyca0&quot; data-start=&quot;5022&quot; data-end=&quot;5040&quot;&gt;To
 pics Include&lt;/h3&gt;\n&lt;ul data-start=&quot;5042&quot; data-end=&quot;5632&quot;&gt;\n&lt;li data-sectio
 n-id=&quot;pczo6j&quot; data-start=&quot;5042&quot; data-end=&quot;5083&quot;&gt;From AI Agents to Autonomo
 us Operations&lt;/li&gt;\n&lt;/ul&gt;\n&lt;ul&gt;\n&lt;li data-section-id=&quot;eny2aw&quot; data-start=&quot;
 46&quot; data-end=&quot;117&quot;&gt;Enterprise Agent Architecture: Single-Agent &amp;amp\; Mult
 i-Agent Systems&lt;/li&gt;\n&lt;li data-section-id=&quot;1f4ibq9&quot; data-start=&quot;118&quot; data-
 end=&quot;185&quot;&gt;Agent Orchestration\, Delegation &amp;amp\; Enterprise Tool Integrat
 ion&lt;/li&gt;\n&lt;li data-section-id=&quot;rtfwb2&quot; data-start=&quot;186&quot; data-end=&quot;253&quot;&gt;Gov
 ernance\, Human Oversight\, Observability &amp;amp\; Failure Recovery&lt;/li&gt;\n&lt;l
 i data-section-id=&quot;1rsdsle&quot; data-start=&quot;254&quot; data-end=&quot;327&quot; data-is-last-n
 ode=&quot;&quot;&gt;Production-Ready Agentic Systems with Live End-to-End Demonstration
 &lt;/li&gt;\n&lt;/ul&gt;\n&lt;h3 data-section-id=&quot;q6w97r&quot; data-start=&quot;5634&quot; data-end=&quot;564
 9&quot;&gt;👉 Takeaway&lt;/h3&gt;\n&lt;p data-start=&quot;5651&quot; data-end=&quot;5828&quot;&gt;&lt;strong data-s
 tart=&quot;5651&quot; data-end=&quot;5828&quot;&gt;Learn how to design secure\, observable\, and 
 governed agentic systems that coordinate tools\, data\, and business proce
 sses to enable reliable autonomous enterprise operations.&lt;/strong&gt;&lt;/p&gt;\n&lt;h
 r data-start=&quot;2785&quot; data-end=&quot;2788&quot;&gt;\n&lt;h2 data-section-id=&quot;14d6kv4&quot; data-s
 tart=&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;strong data-start=&quot;2814&quot; data-end=&quot;2833&quot;&gt;Pradyumna Kodgi
 &lt;/strong&gt;&lt;br data-start=&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;Member\, IEEE AI Agentic Systems &amp;amp\; AI Policy Commit
 tees&lt;/p&gt;\n&lt;p data-start=&quot;3004&quot; data-end=&quot;3073&quot;&gt;📍 California\, USA&lt;br da
 ta-start=&quot;3022&quot; data-end=&quot;3025&quot;&gt;📧 &lt;a class=&quot;decorated-link cursor-point
 er&quot; rel=&quot;noopener&quot; data-start=&quot;3028&quot; data-end=&quot;3043&quot;&gt;pkodgi@ieee.org&lt;/a&gt;&lt;b
 r data-start=&quot;3043&quot; data-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_selectionAnchorContai
 ner&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_selectionAnchorContainer&quot; data-section-id=&quot;17ai1td&quot; data-
 start=&quot;0&quot; data-end=&quot;25&quot;&gt;&amp;nbsp\;&lt;/h3&gt;\n&lt;h1 class=&quot;PDq2pG_selectionAnchorCon
 tainer&quot; data-section-id=&quot;1az63y7&quot; data-start=&quot;8118&quot; data-end=&quot;8144&quot;&gt;Septem
 ber Session Agenda&lt;/h1&gt;\n&lt;p data-start=&quot;8146&quot; data-end=&quot;8182&quot;&gt;Following th
 e same format as August:&lt;/p&gt;\n&lt;p data-start=&quot;8184&quot; data-end=&quot;8243&quot;&gt;&lt;strong
  data-start=&quot;8184&quot; data-end=&quot;8205&quot;&gt;4:30 PM &amp;ndash\; 5:00 PM&lt;/strong&gt; &amp;mdas
 h\; Registration\, Check-In &amp;amp\; Networking&lt;/p&gt;\n&lt;p data-start=&quot;8245&quot; da
 ta-end=&quot;8384&quot;&gt;&lt;strong data-start=&quot;8245&quot; data-end=&quot;8266&quot;&gt;5:00 PM &amp;ndash\; 5
 :15 PM&lt;/strong&gt; &amp;mdash\; Welcome\, Introductions &amp;amp\; Opening Remarks&lt;br
  data-start=&quot;8309&quot; data-end=&quot;8312&quot;&gt;&lt;em data-start=&quot;8312&quot; data-end=&quot;8384&quot;&gt;G
 oogle Meet opens at 5:00 PM. Virtual attendees may join at this time.&lt;/em&gt;
 &lt;/p&gt;\n&lt;p data-start=&quot;8386&quot; data-end=&quot;8496&quot;&gt;&lt;strong data-start=&quot;8386&quot; data-
 end=&quot;8407&quot;&gt;5:15 PM &amp;ndash\; 6:00 PM&lt;/strong&gt; &amp;mdash\; &lt;strong data-start=&quot;
 8410&quot; data-end=&quot;8475&quot;&gt;Session 1: AI Agents 101 &amp;mdash\; Build Your First I
 ntelligent Agent&lt;/strong&gt;&lt;/p&gt;\n&lt;p data-start=&quot;8498&quot; data-end=&quot;8541&quot;&gt;&lt;stron
 g data-start=&quot;8498&quot; data-end=&quot;8519&quot;&gt;6:00 PM &amp;ndash\; 6:15 PM&lt;/strong&gt; &amp;mda
 sh\; Dinner &amp;amp\; Networking&lt;/p&gt;\n&lt;p data-start=&quot;8543&quot; data-end=&quot;8678&quot;&gt;&lt;s
 trong data-start=&quot;8543&quot; data-end=&quot;8564&quot;&gt;6:15 PM &amp;ndash\; 7:00 PM&lt;/strong&gt; 
 &amp;mdash\; &lt;strong data-start=&quot;8567&quot; data-end=&quot;8657&quot;&gt;Session 2: Autonomous E
 nterprise AI &amp;mdash\; Orchestrating Agents\, Tools &amp;amp\; Business Workflo
 ws&lt;/strong&gt;&lt;br data-start=&quot;8657&quot; data-end=&quot;8660&quot;&gt;&lt;br&gt;&lt;/p&gt;\n&lt;p data-start=&quot;
 384&quot; data-end=&quot;457&quot; data-is-last-node=&quot;&quot; data-is-only-node=&quot;&quot;&gt;&amp;nbsp\;&lt;/p&gt;
END:VEVENT
END:VCALENDAR