The World of Data
Experience the data event of the year!

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Nov 11, 2026

On-site hackathon | November 11, 2026 | 8:30 AM CET | Vienna
Join b.telligent and Snowflake for a half-day hackathon where enterprise teams and data leaders go from raw data to a working solution: hands-on, guided and live. Data engineers, developers, software architects, analysts and business leaders work on real-world data and AI challenges, supported throughout the morning by technical experts from b.telligent and Snowflake.
You leave with something you can take back to your team: an agent over your own data, a pipeline that turns documents into structured insight, or a natural-language interface over your business metrics.
No pre-formed team or pre-built idea required. Register as a complete team with a specific business challenge or attend solo and collaborate with industry peers.
Familiarity with SQL or Python is helpful, but no prior Snowflake experience is required. Bring your laptop and charger. For the BYOD track, have your anonymized sample dataset (CSV, JSON or Parquet) ready on your machine. Please do not bring confidential data.
Seats are limited, so register early.
Address
Ruby Paul Workspaces
Postgasse 8b
1010 Vienna, Austria
Date
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Nov 11, 2026
Target Group
Data engineers, software architects, BI & analytics professionals and enterprise AI strategy leads
Costs
free
Event Language
English

8:30 AM – 9:00 AM
Welcome & Registration
9:00 AM – 9:15 AM
Opening
Overview, scope & event goals
9:15 AM – 9:45 AM
Hackathon Prep
Environment setup, task selection & team matchmaking
9:45 AM – 12:30 PM
Hackathon
Build with Snowflake & SE mentorship (incl. break)
12:30 PM – 1:00 PM
Wrap-Up
Live demos & audience voting
1:00 PM – 2:00 PM
Lunch & Networking
The Multi-Modal Feedback Processor
Build an automated pipeline that ingests customer reviews, audio voicemails and documents, then extracts sentiment, categories and actionable metadata directly in SQL using Cortex AI functions such as AI_SENTIMENT, AI_CLASSIFY and AI_EXTRACT.
Self-Service Business Q&A
Define a semantic view over a complex business schema and deploy an agent that lets colleagues ask plain-English questions and get precise SQL, a grounded answer and a chart back.
The Multi-Task Enterprise Agent
Create a secure, governed AI assistant in Snowflake CoWork. Combine structured metrics from a semantic view with unstructured support tickets or reports via Cortex Search, so the agent can explain a number, cite the narrative behind it and draft the summary.
AI-Powered Data Engineering
Use Cortex Code to build, debug and deploy dbt models, troubleshoot pipeline failures and spin up interactive Streamlit apps using natural-language commands.



