BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:US/Pacific BEGIN:DAYLIGHT DTSTART:20250309T030000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:PDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20251102T010000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:PST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20250919T135351Z UID:BD0B93B4-E355-448D-A4D8-D8A31FDAB595 DTSTART;TZID=US/Pacific:20250917T180000 DTEND;TZID=US/Pacific:20250917T190000 DESCRIPTION:Free Registration (with a Zoom account\; you can get one for fr ee if you don't already have it. This requirement is to avoid Zoom bombing . Please sign in using the email address tied to your Zoom account — not necessarily the one you used to register for the event.):\n\nhttps://sjsu .zoom.us/meeting/register/i6n2sgjLQFelwXCNz4-YGQ\n\nSynopsis:\n\nAs large language models (LLMs) evolve from static\, prompt-based tools into autono mous\, agentic systems capable of reasoning\, planning\, and acting with m inimal human oversight\, organizations face an exciting yet complex fronti er. These advanced systems hold the potential to revolutionize enterprise workflows\, developer tools\, and customer-facing applications—but reali zing that potential requires navigating a host of technical and ethical ch allenges.\n\nThis panel brings together leading voices from AI research\, infrastructure engineering\, and real-world application domains to discuss how agentic LLM systems are moving from lab experiments to production-gra de deployments. Panelists will explore critical topics such as orchestrati on\, safety\, observability\, and evaluation\, while offering hard-earned lessons from deploying these systems at scale.\n\nWhether you're building tools for developers\, integrating LLM agents into enterprise pipelines\, or shaping the next wave of intelligent products\, this discussion will eq uip you with the strategic and technical know-how to bring agentic AI into impactful\, everyday use. Don’t miss this opportunity to learn what it truly takes to operationalize the future of AI.\n------------------------- --------------------------------------\n\nBy registering for this event\, you agree that IEEE and the organizers are not liable to you for any loss\ , damage\, injury\, or any incidental\, indirect\, special\, consequential \, or economic loss or damage (including loss of opportunity\, exemplary o r punitive damages). The event will be recorded and will be made available for public viewing.\n\nSpeaker(s): Yubin Kim\, Gautam Solaimalai\, Shalee n Kumar Gupta\, Vishal Jain\, Abhay Khosla\, Rahul Raja\, Harsh Varshney\n \nVirtual: https://events.vtools.ieee.org/m/494702 LOCATION:Virtual: https://events.vtools.ieee.org/m/494702 ORGANIZER:pendyala@ieee.org SEQUENCE:72 SUMMARY:Panel discussion - From Prompt to Production: Operationalizing Agen tic LLM Systems URL;VALUE=URI:https://events.vtools.ieee.org/m/494702 X-ALT-DESC:Description: <br /><p>Free Registration (with a Zoom account\; y ou can get one for free if you don't already have it. This requirement is to avoid Zoom bombing. Please sign in using the email address tied to your Zoom account &mdash\; not necessarily the one you used to register for th e event.):&nbsp\;</p>\n<p><a href="https://sjsu.zoom.us/meeting/register/i 6n2sgjLQFelwXCNz4-YGQ">&nbsp\;https://sjsu.zoom.us/meeting/register/i6n2sg jLQFelwXCNz4-YGQ&nbsp\;</a></p>\n<p><em><strong>Synopsis:<br></strong></em ></p>\n<p data-start="204" data-end="657">As large language models (LLMs) evolve from static\, prompt-based tools into autonomous\, agentic systems capable of reasoning\, planning\, and acting with minimal human oversight\ , organizations face an exciting yet complex frontier. These advanced syst ems hold the potential to revolutionize enterprise workflows\, developer t ools\, and customer-facing applications&mdash\;but realizing that potentia l requires navigating a host of technical and ethical challenges.</p>\n<p data-start="659" data-end="1289">This panel brings together leading voices from AI research\, infrastructure engineering\, and real-world applicatio n domains to discuss how agentic LLM systems are moving from lab experimen ts to production-grade deployments. Panelists will explore critical topics such as orchestration\, safety\, observability\, and evaluation\, while o ffering hard-earned lessons from deploying these systems at scale.</p>\n<p data-start="1291" data-end="1652" data-is-last-node="" data-is-only-node= "">Whether you're building tools for developers\, integrating LLM agents i nto enterprise pipelines\, or shaping the next wave of intelligent product s\, this discussion will equip you with the strategic and technical know-h ow to bring agentic AI into impactful\, everyday use. Don&rsquo\;t miss th is opportunity to learn what it truly takes to operationalize the future o f AI.</p>\n<hr>\n<p class="MsoNormal"><span style="font-size: 10pt\;"><em> By registering for this event\, you agree that IEEE and the organizers are not liable to you for any loss\, damage\, injury\, or any incidental\, in direct\, special\, consequential\, or economic loss or damage (including l oss of opportunity\, exemplary or punitive damages). The event will be rec orded and will be made available for public viewing.</em></span></p> END:VEVENT END:VCALENDAR