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DESCRIPTION:The Fifth Elephant Mini Conf
X-WR-CALDESC:The Fifth Elephant Mini Conf
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:20260522T063000Z
DTEND:20260522T123000Z
DTSTAMP:20260420T143125Z
UID:session/smDc6DRnijsbjn8bZeNPQ@hasgeek.com
SEQUENCE:16
CREATED:20260420T050805Z
DESCRIPTION:## Call for talks\, demos & discussions\nThis event is not a t
 raditional conference\n\nWe are inverting the industry standard of 80% sli
 des and 20% substance\, prioritizing executable knowledge and real-world a
 rchitectures. **Submissions must adhere to our core principle: _If you can
  show it running in production\, show it._**\n\n**The unifying theme acros
 s all sessions is "How do you know it's working?" Submissions must answer 
 this question with concrete details drawn from:**\n* Evaluation pipelines 
 and methods\n* Observability and tracing\n* Cost data and benchmarks\n* Re
 al architecture and engineering decisions\n\n### We are seeking submission
 s for five primary formats\n1. **Anchor talks - deep talks of 25 minutes d
 uration + 5 minutes Q&A**\nAnchor Talks set the intellectual frame for the
  day by addressing the "production gap". We are looking for CTOs or princi
 pal engineers with a live system to share the real architecture of a produ
 ction system.\n* Workflow Orchestration: Moving from standalone chatbots t
 o deep integration with legacy ERP/CRM systems via event-driven architectu
 res.\n* Sovereign & Localized AI: Architectures for air-gapped\, regulated
 \, or high-security environments where cloud APIs are not an option.\n**Fo
 cus:** What is working\, what was thrown away\, and the one decision you w
 ould make differently.\n**Requirement:** No slides featuring roadmaps.\n\n
 2. **Live demos - 15 minutes each**\n**_These sessions are the core of the
  conference (30% of content) and must be genuine\, live demonstrations of 
 production-ready AI features._** We are looking for submissions that tackl
 e hard technical problems\, including:\n* Agentic Systems: multi-agent wor
 kflows with visible execution traces\, showing failure and escalation live
 .\n* Evaluation in CI/CD: demonstrating an evaluation pipeline catching a 
 real regression (e.g.\, a "harmless" prompt change breaking a faithfulness
  eval and blocking a CI merge).\n* Retrieval-Augmented Generation (RAG): l
 ive query across an enterprise corpus\, comparing hybrid retrieval vs. nai
 ve RAG\, and showing hallucination reduction as a metric.\n* Multimodal pi
 pelines: unifying invoices\, contracts\, and images in one retrieval syste
 m with sub-second query speed and live source attribution.\n* AI for devel
 opment: demonstrating AI code review and auto-PR workflows\, where an agen
 t generates tests\, documents changes\, and creates a PR with a plain-Engl
 ish diff explanation.\n* Judge models: a live reveal of LLM-as-a-Judge bia
 s (e.g.\, score flipping when answers are swapped) and the applied mitigat
 ion.\n* Agentic Protocols: Live implementation of communication standards 
  to manage multi-agent handshakes and stateful memory.\n* Defensive AI in 
 CI/CD: Automated red teaming and policy-as-code filters that block non-com
 pliant outputs in real-time.\n* Reliable Agent Skills: A live demo of "Too
 l Use" or "Function Calling" at scale—specifically how agents discover\,
  select\, and recover from failures across hundreds of internal APIs.\n\n*
 *3. Lightning talks - 12 minutes each**\nLightning talks are short\, sharp
  takes\, structured around one orientation slide\, then the thing itself. 
 We are seeking practitioners who can deliver maximum insight in minimum ti
 me.\n**Focus areas:**\n* Architecture & governance: running a global AI pr
 ogram (e.g.\, GCC perspective on governance handshakes with HQ).\n* Genera
 lizable patterns: RAG or other patterns that generalize across enterprise 
 client engagements (GSI perspective)\, and the ones that never do.\n* Cost
  reality: real inference cost data from a production workload (e.g.\, GPT-
 4o vs fine-tuned SLM)\, where the audience votes before the reveal.\n* Out
 come Economics: Moving beyond cost-per-token to measuring the "unit econom
 ics" of an AI action and true business ROI.\n* Skill Composition: Patterns
  for building "composable" agent skills that can be reused across differen
 t departments without re-training or hard-coding logic.\n* Governing the A
 DLC: How do we handle "Pull Requests" and "Unit Tests" when the output is 
 generated by an autonomous agent\n\n4. **Startup Showcase: A live product 
 demo presented to a room of practitioners - strictly no pitch deck.**\n\n5
 . **Birds of Feather (BOF) sessions:** If you have a hard unsolved problem
 \, bring it to the BOF. While the final parallel BOF rooms are set by atte
 ndee voting on the day\, we invite submissions for high-value discussion t
 opics that could cluster organically\, such as:\n* Agent systems that brok
 e in unexpected ways\n* Evals that are effective in production\n* Making t
 he CFO understand GPU costs\n* The engineering specifics of good AI govern
 ance\n* RAG vs. fine-tuning—the conditions that change the answer\n* Man
 aging Agent Sprawl: Preventing cascading logic loops in complex multi-agen
 t systems.\n* AI Supply Chain Security: Verifying the integrity of model w
 eights and data in an open-source/fine-tuned ecosystem.\n* Agent Skill Dis
 covery: The challenge of "Skill Sprawl"—how do agents know what tools ar
 e available in a massive enterprise ecosystem.\n\n###  Deadline for submis
 sions: 9 May 2026\n\n### About the editor\nRamakrishna Reddy Yekulla (Ramk
 y) is a Senior Principal Product Manager at Red Hat’s data + AI group\, 
 leading the technical strategy and operationalization of AI models. He ens
 ures seamless integration of AI into Red Hat’s products while managing c
 ompliance\, governance\, and scalability. \nA seasoned open-source contrib
 utor\, Ramky has worked on projects like Fedora\, Django\, GNOME\, and Glu
 sterFS. His expertise spans system design\, functional programming\, and A
 I infrastructure.\n\n## Queries & contact information\n💬 Comment on the
  [discussion forum](https://hasgeek.com/fifthelephant/enterprise-ai-in-pro
 duction/comments)  \n📞 Call: **+91 7676332020**  \n📧 Email: **info@h
 asgeek.com**  
LAST-MODIFIED:20260420T052523Z
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/
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DESCRIPTION:Enterprise AI in Production in 5 minutes
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