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DTSTART;TZID=America/Los_Angeles:20260928T170000
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SUMMARY:2026 GET-AI SERIES: 6 — Enabling Autonomous Operations
DESCRIPTION:Artificial Intelligence is rapidly progressing from systems that 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 limited to helping employees find information—it is increasingly about enabling AI systems to participate in and automate real business processes.\nFollowing our August session on Connecting AI to Enterprise Data using Model Context Protocol (MCP)\, the IEEE Orange County Computer Society GET-AI Series continues in September with a practical\, demo-driven exploration of AI Agents and Autonomous Operations.\nThis double-feature session begins 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\, and how to build a simple agent capable of completing a multi-step task. The second session builds on those concepts to explore how autonomous and multi-agent systems can orchestrate complex enterprise workflows while maintaining security\, governance\, observability\, human oversight\, and operational reliability.\nBy combining foundational concepts with architecture patterns and live demonstrations\, the September session will help attendees understand how organizations can progress from AI assistance to intelligent\, governed autonomous operations.\n—————————————————————\n[]\nSession 1: AI Agents 101: Build Your First Intelligent Agent\n45 minutes\nThrough practical explanations and a live demonstration\, this session introduces the fundamentals of Agentic AI and explains how AI agents differ from traditional chatbots and standalone LLM applications.\nAttendees will explore the core building blocks of an AI agent\, including reasoning\, planning\, memory\, context\, tools\, and actions. The session will then demonstrate how these components work together by building a simple agent capable of interpreting a goal\, selecting appropriate tools\, executing multiple steps\, and returning a meaningful result.\nTopics Include\n–  What Is an AI Agent? From Assistants to Agentic AI\n– Core Agent Components: Reasoning\, Planning\, Memory & Actions\n– Tools\, Function Calling & Context Management\n– Human-in-the-Loop Controls and Common Agent Design Patterns\n– Build and Demonstrate a Simple Multi-Step AI Agent\n👉 Takeaway\nUnderstand how AI agents reason\, plan\, use tools\, and take actions—and learn how to build a basic intelligent agent capable of executing a multi-step task.\n—————————————————————\nSession 2: Autonomous Enterprise AI: Orchestrating Agents\, Tools & Business Workflows\nBuilding on the agent foundations introduced in Session 1\, this session explores what it takes to move from a single AI agent to reliable\, governed autonomous enterprise operations.\nAttendees will examine architecture patterns for orchestrating agents across applications\, APIs\, enterprise 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 approvals\, identity\, policy\, observability\, evaluation\, and operational guardrails.\nThe session will also examine the production challenges that arise when agents begin taking actions—including incorrect tool selection\, uncontrolled loops\, unreliable outputs\, excessive autonomy\, and failure recovery—and practical strategies for addressing them.\nA live demonstration can showcase an end-to-end autonomous workflow in which an agent receives a business objective\, gathers context\, selects tools\, performs multiple steps\, requests approval when appropriate\, and completes the workflow.\nTopics Include\n– From AI Agents to Autonomous Operations\n– Enterprise Agent Architecture: Single-Agent & Multi-Agent Systems\n– Agent Orchestration\, Delegation & Enterprise Tool Integration\n– Governance\, Human Oversight\, Observability & Failure Recovery\n– Production-Ready Agentic Systems with Live End-to-End Demonstration\n👉 Takeaway\nLearn how to design secure\, observable\, and governed agentic systems that coordinate tools\, data\, and business processes to enable reliable autonomous enterprise operations.\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:\nSeptember Session Agenda\nFollowing the same format as August:\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: AI Agents 101 — Build Your First Intelligent Agent\n6:00 PM – 6:15 PM — Dinner & Networking\n6:15 PM – 7:00 PM — Session 2: Autonomous Enterprise AI — Orchestrating Agents\, Tools & Business Workflows\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/575018
URL:https://svec.org/event/2026-get-ai-series-6-enabling-autonomous-operations/
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/575018
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DTSTART;TZID=-07:00:20260928T190000
DTEND;TZID=-07:00:20260928T210000
DTSTAMP:20260602T223307Z
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SUMMARY:Practical Lessons from Building AI Infrastructure for Billion User Products
DESCRIPTION:Practical Lessons from Building AI Infrastructure for Billion-User Products with ML Systems \nLOCATION ADDRESS (Hybrid\, in person or by zoom\, you choose)\nValley Research Park\n319 North Bernardo Avenue\nMountain View\, CA CA 93043\nIf you want to join remotely\, you can submit questions via Zoom Q&A. The zoom link:\n[https://acm-org.zoom.us/j/](https://acm-org.zoom.us/j/99320216248?pwd=hmIZXJbNiS0F4hrJerx0ffnI8rbYOr.1)\nJoin via YouTube:\nhttps://youtube.com/live/sJ38lsfLfeU \nAGENDA\n6:30 Door opens\, SFBAY ACM 68 anniversary Cake and networking (we invite honor system contributions)\n**7:00** Upcoming events\, introduction of the speaker\n7:15 Speaker presentation\n8:15- 8:30 finish\, depending on Q&A \nJoin SF Bay ACM Chapter for an insightful discussion on: \nAbstract\nThis talk covers what it takes to move ML/AI systems from promising prototypes to production systems that are reliable\, observable\, scalable\, and maintainable. I will discuss common architecture patterns\, rollout strategies\, evaluation and monitoring loops\, operational failure modes\, and engineering tradeoffs that show up at large scale. The talk is intended for experienced computing professionals and can be adjusted to a 45-60 minute format with Q&A. \nSpeaker bio:\nSilu Panda is a Sr. Software Engineer at Linkedin.com. He has 6 years of experience building ML infrastructure used by billions of users\, including 4 years at LinkedIn. He holds a bachelors degree in computer science from IIT Bombay. His focus areas are ML systems\, scalable infrastructure\, software engineering\, and practical AI product execution.. \nhttps://www.linkedin.com/in/silupanda/ \n— \nValley Research Park is a coworking research campus of 104\,000 square feet hosting 30+ life science and technology companies. VRP has over 100 dry labs\, wet labs\, and high power labs sized from 125-15\,000 square feet. VRP manages all of the traditional office elements: break rooms\, conference rooms\, outdoor dining spaces\, and recreational spaces. \nAs a plug-and-play lab space\, once companies have secured their next milestone and are ready to expand\, VRP has 100+ labs ready to expand into.\nhttps://www.valleyresearchpark.com/
URL:https://svec.org/event/practical-lessons-from-building-ai-infrastructure-for-billion-user-products/
LOCATION:Valley Research Park\, 319 N Bernardo Ave\, Mountain View\, CA\, 94043\, United States
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