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:20260610T005153Z UID:session/smDc6DRnijsbjn8bZeNPQ@hasgeek.com SEQUENCE:31 CREATED:20260420T050805Z DESCRIPTION:# Enterprise AI in Production ā€” Meet-up\n**[Register for the meet-up](http://has.gy/oWAP)** | Members-only | 19 June 2026 | InMobi\, M arathahalli\, Bengaluru\n\nThe focus is on executable knowledge\, operatio nal depth\, and systems that are already meeting reality.\n\nThe central q uestion driving this event is:\n\n> **How do you know it's working?**\n\nE very submission should answer this with concrete evidence drawn from evalu ation pipelines\, observability and tracing\, architecture decisions\, ope rational trade-offs\, failure analysis\, latency and reliability data\, or cost 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 confirmed. We are still accepting submissions for live demos and lightning talks.\n\n**Deadline: 15 June 2026**\n\n---\n\n### Live demos ā€” 15 minu tes\nLive demonstrations of production-grade AI systems. Not prototypes. N ot conceptual walkthroughs.\n\nShow execution traces\, failure handling\, evaluation outputs\, rollback behavior\, observability tooling\, orchestra tion logic\, cost signals\, or operational controls. We especially value d emos that show failures\, debugging\, trade-offs\, and operational safegua rds.\n\n---\n\n### Lightning talks ā€” 12 minutes\nShort\, sharp\, and ins ight-dense. One orientation slide\, then the thing itself.\n\nStrong light ning talks are grounded in operational metrics\, incident learnings\, depl oyment trade-offs\, and architectural revisions.\n\n---\n\n## Who should s ubmit?\n- AI/ML and platform engineers operating production systems\n- Bac kend engineers building AI systems\n- DevOps\, SRE\, and AppSec practition ers\n- Engineering leads running AI initiatives\n- Governance and complian ce practitioners\n\nYou do not need a perfect success story. Operational f ailures\, architectural rewrites\, and hard-earned lessons are equally val uable.\n\n---\n\n## About the editor\nRamakrishna Reddy Yekulla leads tech nical strategy and AI operationalization at Red Hat's Data + AI group. A l ong-time open-source contributor across Fedora\, Django\, GNOME\, and Glus terFS\, his interests span AI infrastructure\, systems architecture\, func tional programming\, and large-scale operational engineering.\n\n---\n\n šŸ’¬ [Leave a comment](https://hasgeek.com/fifthelephant/enterprise-ai-in- production/comments) \nšŸ“ž Call/WhatsApp: +91 7676332020 \nšŸ“§ Email: info@hasgeek.com LAST-MODIFIED:20260608T112541Z 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