BEGIN:VCALENDAR PRODID:-//zoom.us//iCalendar Event//EN VERSION:2.0 CALSCALE:GREGORIAN METHOD:PUBLISH CLASS:PUBLIC BEGIN:VTIMEZONE TZID:America/New_York LAST-MODIFIED:20260306T231828Z TZURL:https://www.tzurl.org/zoneinfo-outlook/America/New_York X-LIC-LOCATION:America/New_York BEGIN:DAYLIGHT TZNAME:EDT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 DTSTART:19700308T020000 RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU END:DAYLIGHT BEGIN:STANDARD TZNAME:EST TZOFFSETFROM:-0400 TZOFFSETTO:-0500 DTSTART:19701101T020000 RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260519T095109Z DTSTART;TZID=America/New_York:20260610T110000 DTEND;TZID=America/New_York:20260610T114500 SUMMARY:Atlan in Action: Full Platform Demo UID:20260519T095109Z-85425089258@web-prod-us06-va1-webok-786478c9f9-4jhsc TZID:America/New_York DESCRIPTION:Topic: Atlan in Action: Full Platform Demo\nDescription: Abou t the session:\nMost teams have data. What they're missing is the layer that makes AI trustworthy. In this 45-minute live session\, you'll see A tlan's context layer in action — from enriching raw data assets to engin eering a semantic model\, running evals\, and watching an AI analyst ans wer business questions correctly.\n\n\nWhat you'll learn:\n\n1. Don't st art on a blank page: The knowledge AI needs already exists in your stack . Watch Atlan identify the assets that matter most using popularity\, li neage\, and usage signals across hundreds of thousands of assets. AI age nts enrich automatically: generating descriptions\, linking business ter ms\, applying context at scale. Every asset is understood before AI touc hes it.\n\n2. Bootstrap context. Test it. Ship what's correct: Type what you want to analyze. Watch Atlan find the relevant tables\, generate a semantic model from your SQL history and BI dashboards\, and run evals — auto-generated from your actual queries and reports. See a failing quer y traced to the exact missing context. Watch the model tighten with AI f inding the gaps and humans verifying what ships.\n\n3. Same question. Sa me answer. Every agent: Ask a business question live. Watch it route to the right semantic model\, generate SQL\, and return a traceable answer. Then see Observability: every interaction tracked\, every failure flagg ed\, every correction tightening the context layer. One Context Repo\, s hared across every agent in your stack via MCP and native integrations.\ n\nJoin from PC\, Mac\, iPad\, or Android:\nhttps://atlan.zoom.us/s/8542 5089258\n\nPhone one-tap:\n+15074734847\,\,85425089258# US\n+15642172000 \,\,85425089258# US\n\nJoin via audio:\n+1 507 473 4847 US\n+1 564 217 2 000 US\n+1 646 931 3860 US\n+1 669 444 9171 US\n+1 669 900 6833 US (San Jose)\n+1 689 278 1000 US\n+1 719 359 4580 US\n+1 929 436 2866 US (New Y ork)\n+1 253 205 0468 US\n+1 253 215 8782 US (Tacoma)\n+1 301 715 8592 U S (Washington DC)\n+1 305 224 1968 US\n+1 309 205 3325 US\n+1 312 626 67 99 US (Chicago)\n+1 346 248 7799 US (Houston)\n+1 360 209 5623 US\n+1 38 6 347 5053 US\nWebinar ID: 854 2508 9258\nInternational numbers availabl e: https://atlan.zoom.us/u/kc2MRmSeQt\n\n\n LOCATION:https://atlan.zoom.us/s/85425089258 BEGIN:VALARM TRIGGER:-PT10M ACTION:DISPLAY DESCRIPTION:Reminder END:VALARM END:VEVENT END:VCALENDAR