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Accepting submissions till 25 Jun 2026, 11:59 PM

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Resources: How to create a strong proposal - by Vivek Pemavat, editor of Rootconf Platform Engineering meet-ups: https://hasgeek.com/rootconf/call-for-submissions-platform-engineering-meet-ups/sub/rootconf-platform-engineering-talk-guidelines-MWUtatELnYgQb3dLeU2FA6 expand

Resources:

  1. How to create a strong proposal - by Vivek Pemavat, editor of Rootconf Platform Engineering meet-ups: https://hasgeek.com/rootconf/call-for-submissions-platform-engineering-meet-ups/sub/rootconf-platform-engineering-talk-guidelines-MWUtatELnYgQb3dLeU2FA6
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Accepting submissions till 25 Jun 2026, 11:59 PM

sooraj shankar

Memory Is a Data System: State, Search, and History for AI Agents

AI agent memory is often discussed as a prompting problem or a vector search problem. In production, it behaves much more like a data system. Agents need to store facts, preferences, decisions, intermediate notes, and shared organizational context. That memory has to be named, scoped, searched, updated, versioned, inspected, and eventually corrected. more
  • 1 comment
  • Submitted
  • 30 May 2026
I am submitting for: Track 1 - Data engineering & infrastructure Type of session: 30 mins talk

Vivek Sinha

High Concurrency & Low Latency Serving on Apache Iceberg

Description Everyone is putting their data into Apache Iceberg; almost no one is serving sub-second queries directly from it. Once data lands in Iceberg, a familiar question arises: how do you power real-time experiences without duplicating it in yet another serving system? This challenge is especially sharp in observability workloads like RUM, clickstream, and APM, and in customer-facing analyti… more
  • 0 comments
  • Submitted
  • 01 Jun 2026
I am submitting for: Track 1 - Data engineering & infrastructure Type of session: 30 mins talk
Siddhant Agarwal

Siddhant Agarwal

Your AI Agent is lying to you: Observability for LLM systems in production

You have shipped your LLM-powered agent. Congrats. Now do you actually know what it is doing? Most teams flying blind in production only discover issues when users complain, by which point the damage is already done. This talk dives deep into the observability gap in GenAI systems: why traditional APM tools were never designed for non-deterministic, multi-step agentic workflows, and why bolting t… more
  • 0 comments
  • Submitted
  • 01 Jun 2026
I am submitting for: Track 2 - Building & implementing AI tools & agents in production Type of session: 30 mins talk

Karthik Shashidhar

How to drive adoption and derive value from your AI-for-data agent

Describe your session in 2 paragraphs Companies are struggling to get value from AI-for-data agents. They have invested considerable time and energy in onboarding such systems but found usage and adoption lacking. The reasons are manifold - business users lack confidence in the systems, providing the right context is a challenge, people simply don’t know what questions to ask. So rather than usin… more
  • 0 comments
  • Submitted
  • 03 Jun 2026
I am submitting for: Track 2 - Building & implementing AI tools & agents in production Type of session: 30 mins talk

krishan goyal

Optimizing Data Ingestion in Apache Pinot

Optimizing Data Ingestion in Apache Pinot The Problem more
  • 0 comments
  • Submitted
  • 04 Jun 2026
I am submitting for: Track 1 - Data engineering & infrastructure Type of session: 30 mins talk
Pramod Biligiri

Pramod Biligiri Editor, The Fifth Elephant 2024 & 2025 editions

Session formats at The Fifth Elephant: Birds of Feather sessions

Birds of a Feather (BOF) sessions A Birds of a Feather session is a focused, practitioner-led conversation on a specific topic. It is not a talk, not a panel, and not a product demo. It is a room of people who share a problem, a craft, or a question — and want to think through it together. more
  • 0 comments
  • Submitted
  • 09 Jun 2026
I am submitting for: Track 1 - Data engineering & infrastructure Type of session: Birds of Feather (BOF) session

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