LLMday is a worldwide series of community events for engineers building with large language models, AI agents and machine learning. Across cities around the world, we bring together practitioners working on AI-powered products and systems to share real-world experience, learn from each other and explore how software engineering is changing in the age of AI.
Midtown Tel Aviv, Derech Menachem Begin 144, Level 50
Tel Aviv-Yafo 6492102, Israel
Sponsors & Partners
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Sharone Revah Zitzman
RTFM Please LTD
MC & Opening Words
Abstract
We're bringing LLMDay + Data to Tel Aviv for the first time ever in partnership with Microsoft and TeraSky to focus on the intersection between LLMs, AI and Big Data Engineering. Expect excellent talks on everything from LLMs to data engineering, analytics and how all of this powers what's coming next with AI.
Join us at the Microsoft Reactor, in Midtown Tel Aviv with 200 data and LLM enthusiasts - and get your talks submitted, CFP is open until October 17th!
Bio
Sharone Zitzman, is a developer relations professional and an open source community builder, who likes to work with engineering teams that are building products that developers love. Having built both the DevOps Israel and Cloud Native & OSS Israel communities from the ground up, today she spends her time at her company RTFM Please, building dev-first adoption strategies to bring excellent technology and people together. You can find her at rtfmplease.dev, or on Twitter & Github as @shar1z.
Haggai Zohar
TeraSky
WorkshopCompany Brain with Fabric and Claude
Abstract
Most enterprise knowledge doesn't answer questions — it sits locked in
semantic models, dashboards, and databases, waiting for someone who
knows DAX or SQL to ask. This workshop shows you how to connect
Claude AI to a Microsoft Fabric semantic layer using the Model Context
Protocol (MCP), turning your organization's data into a conversational
Company Brain that any business user can talk to.
We'll build an end-to-end agentic RAG architecture on Azure: indexing your
Fabric schema into Azure AI Search, generating embeddings with Azure
OpenAI, and deploying a Remote MCP Server on Azure Container Apps
that exposes structured tools — schema retrieval, DAX execution, and
dataset discovery — to Claude. You'll see how a business user can ask
"what were our top products by revenue last quarter?" in plain English and
get an accurate, governed answer in seconds, with no DAX knowledge
required.
We'll also cover the security layer: OAuth 2.0 with Azure Entra ID, On-
Behalf-Of token flow, and automatic row-level security — so your
Company Brain respects the same governance policies as your Fabric
workspace. You'll leave with a working architecture pattern you can adapt
to your own data models, and a clear understanding of when RAG-over-
schema beats fine-tuning or search-only approaches.
Bio
Haggai Zohar is a Data Tech Lead at TeraSky, where he designs cloud data platforms and the AI systems built on top of them. A Technion graduate (cum laude), he holds AWS Machine Learning Specialty and AWS Solutions Architect certifications and works across AWS, Azure and Microsoft Fabric. He recently spoke on "RAG on Your Data Lake" at TLV Community's AWS DevOps 2026 conference, and he loves turning messy company data into something an LLM can actually use.
