What could you build with AI if you had 5 hours, powerful data, and no limits on your imagination? Find out at our upcoming hackathon, AI at Work: Hack the Everyday an opportunity to get hands-on with how AI is changing data workflows and put AI coding agents to work designing and deploying real data solutions.
Dive into a two-hour interactive workshop on building modern, end-to-end data pipelines. Through live demos and hands-on labs, you'll learn how to extract complex enterprise data from SAP ERP, orchestrate and transform it, and connect governed data to AI workflows through agentic platforms.
We’ll open with a quick look at Omni: what it is, why brands like BuzzFeed, Mercury, and Condé Nast run on it, and a few of our favorite demos. Then it’s your turn to get hands-on with the Kaggle Big Data Bowl 2026 dataset in your own Omni environment (bring your laptop). You’ll ask questions of the data in plain English, have AI build a dashboard, use Excel-style calculations, and describe an app idea for Omni to build in front of you. The best apps win Lions-themed swag and bragging rights. Se
Talk with their teams about scenarios specific to your role / your organization, ask more detailed questions, gain a better understanding of their products and services, etc.
The Tableau Demo will include 3 use case based highlights at 3:00 & 4:00 covering:Tableau Knowledge - Power trustworthy AI agents with unified enterprise knowledgeTableau MCP (The Power of Tableau + Your Agent of Choice) - Deploy on any surface to enable trusted answers anywhereTableau Studio - An AI-assisted workspace for building dashboards, data analyses, and data applications
This hands on workshop will take the audience from zero to end to end pipelines created by agents. In as little as a single prompt, the MotherDuck platform can ingest data with Python, transform it with Python or SQL, curate business context about that data, and then visualize it in a highly interactive and shareable data app. No prior experience is needed, but there will still be plenty of best practices for even savvy AI users. Everything is still manually controllable if desired as well. Whil
Talk with their teams about scenarios specific to your role / your organization, ask more detailed questions, gain a better understanding of their products and services, etc.
