BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//HasGeek//NONSGML Funnel//EN
DESCRIPTION:Call for Proposals
X-WR-CALDESC:Call for Proposals
NAME:Enterprise AI in Production
X-WR-CALNAME:Enterprise AI in Production
REFRESH-INTERVAL;VALUE=DURATION:PT12H
SUMMARY:Enterprise AI in Production
TIMEZONE-ID:Asia/Kolkata
X-PUBLISHED-TTL:PT12H
X-WR-TIMEZONE:Asia/Kolkata
BEGIN:VEVENT
SUMMARY:Enterprise AI in Production
DTSTART:20260619T083000Z
DTEND:20260619T123000Z
DTSTAMP:20260622T005145Z
UID:session/smDc6DRnijsbjn8bZeNPQ@hasgeek.com
SEQUENCE:34
CREATED:20260420T050805Z
DESCRIPTION:# Enterprise AI in Production — Meet-up\n**[Register for the
  meet-up](http://has.gy/oWAP)** | Members-only | 19 June 2026 | PhonePe\, 
 Bellandur\, Bengaluru\n\nThe focus is on executable knowledge\, operationa
 l depth\, and systems that are already meeting reality.\n\nThe central que
 stion driving this event is:\n\n> **How do you know it's working?**\n\nEve
 ry submission should answer this with concrete evidence drawn from evaluat
 ion pipelines\, observability and tracing\, architecture decisions\, opera
 tional trade-offs\, failure analysis\, latency and reliability data\, or c
 ost benchmarks.\n\nIf you can show it running in production\, show it.\n\n
 ---\n\n## Submissions open: demos and lightning talks\nAnchor talks are co
 nfirmed. We are still accepting submissions for live demos and lightning t
 alks.\n\n**Deadline: 15 June 2026**\n\n---\n\n### Live demos — 15 minute
 s\nLive demonstrations of production-grade AI systems. Not prototypes. Not
  conceptual walkthroughs.\n\nShow execution traces\, failure handling\, ev
 aluation outputs\, rollback behavior\, observability tooling\, orchestrati
 on logic\, cost signals\, or operational controls. We especially value dem
 os that show failures\, debugging\, trade-offs\, and operational safeguard
 s.\n\n---\n\n### Lightning talks — 12 minutes\nShort\, sharp\, and insig
 ht-dense. One orientation slide\, then the thing itself.\n\nStrong lightni
 ng talks are grounded in operational metrics\, incident learnings\, deploy
 ment trade-offs\, and architectural revisions.\n\n---\n\n## Who should sub
 mit?\n- AI/ML and platform engineers operating production systems\n- Backe
 nd engineers building AI systems\n- DevOps\, SRE\, and AppSec practitioner
 s\n- Engineering leads running AI initiatives\n- Governance and compliance
  practitioners\n\nYou do not need a perfect success story. Operational fai
 lures\, architectural rewrites\, and hard-earned lessons are equally valua
 ble.\n\n---\n\n## About the editor\nRamakrishna Reddy Yekulla leads techni
 cal strategy and AI operationalization at Red Hat's Data + AI group. A lon
 g-time open-source contributor across Fedora\, Django\, GNOME\, and Gluste
 rFS\, his interests span AI infrastructure\, systems architecture\, functi
 onal programming\, and large-scale operational engineering.\n\n---\n\n💬
  [Leave a comment](https://hasgeek.com/fifthelephant/enterprise-ai-in-prod
 uction/comments)  \n📞 Call/WhatsApp: +91 7676332020  \n📧 Email: info
 @hasgeek.com
LAST-MODIFIED:20260618T151556Z
LOCATION:Bangalore - https://hasgeek.com/fifthelephant/enterprise-ai-in-pr
 oduction-cfp/
ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com
URL:https://hasgeek.com/fifthelephant/enterprise-ai-in-production-cfp/
BEGIN:VALARM
ACTION:display
DESCRIPTION:Enterprise AI in Production in 5 minutes
TRIGGER:-PT5M
END:VALARM
END:VEVENT
END:VCALENDAR
