Open Data Circle – Lakehouse Meetup #2, co-hosted with CelerData, explores how modern data platforms are evolving toward an AI-native future — as AI-driven workloads reshape expectations for storage, indexing, and real-time analytics across table formats, compute engines, and retrieval-oriented applications.
This meetup examines these shifts from three complementary perspectives:
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Architectural directions for making lakehouse systems AI-native
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StarRocks as a next-generation high-performance engine for the AI era
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Practical lessons from building RAG systems, including an AI Legal Reviewer demo
Expect concise, insight-driven sessions and opportunities to connect with peers shaping the next generation of data platforms.
👉🏻 Register the event: https://hubs.la/Q03YVj-00 👈🏻
Location
Onsite: LODGE (LY Corporation Head Office, Kioicho, Tokyo). Detailed arrival instructions will be shared later.
Online: Zoom dial-in details will be shared closer to the event via Luma.
Agenda
All sessions will be conducted in English; no live translation will be provided.
18:30 – 19:00: Arrival & Check-In (Late arrivals cannot enter the venue after 19:15)
19:00 – 19:05: Opening Remarks
19:05 – 19:25: Talk #1 – Exploring AI-native Directions for Lakehouse (Zhiyan Xiao, Open Data Circle)
19:25 – 19:45: Talk #2 – StarRocks: A Fast Data Engine for Rapid AI Development (Cheng Sun, CelerData)
19:45 – 20:05: Talk #3 – Exploring the AI Legal Reviewer using RAG (Alec Lee, Open Data Circle)
20:05 – 20:20: Open Discussion (Q&A, sharing, etc.)
20:20 – 21:30: Networking Session
Agenda is subject to minor adjustments before showtime; check this page or your Luma updates for the latest schedule.
Speakers
Organizer, Open Data Circle
Exploring AI-native Directions for Lakehouse
AI-native workloads are redefining expectations for lakehouse systems — requiring table formats and storage layers to support richer semantics, adaptive indexing, and tighter integration with real-time and vector-driven data.
This talk examines emerging approaches for making lakehouses more AI-native, with a focus on architectural shifts happening at the table-format and data-layout layers. By recognizing patterns emerging across modern open formats and storage designs, the session highlights how these developments are opening new possibilities for more adaptive, intelligent, and future-ready data platforms.
Customer Success, CelerData
StarRocks: A Fast Data Engine for Rapid AI Development
With the rapid evolution of Large Language Models (LLMs) and AI Agents, data governance has become a core competitive differentiator for enterprises.
To meet the demanding requirements of modern AI applications, this session explores how CelerData has optimized the essential pillars of a Data Engine: real-time performance, compatibility, and scalability. We will demonstrate how StarRocks delivers a lightning-fast, unified lakehouse architecture, providing the robust data foundation necessary for the AI era.
AX Full-stack Explorer / Contributor, Open Data Circle
Exploring the AI Legal Reviewer using RAG
Alec is a DX & AX (AI Transformation) Specialist who converts strategic vision into measurable execution, experienced in bridging technology and business value, managing complex projects across diverse cultures, organizations and systems.
This talk will explore an AI Legal Reviewer leveraging RAG and open-source systems to ensure contract compliance, focusing on accuracy and safety.
Join StarRocks community to learn more about AI-native Lakehouse!
