--- title: "Taste of IT 2026: Meet Smart Data in Dayton | Smart Data" url: https://www.smartdata.net/events/taste-of-it-2026 description: "Join Smart Data at Taste of IT 2026 in Dayton on November 18: our booth all day, Chris St. Amand and Chad Puterbaugh on the medallion architecture, and the data readiness assessment." source: "Smart Data (smartdata.net). Markdown copy of the page; the HTML page is canonical." --- # Join us at Taste of IT 2026 We’re a Bronze sponsor at Ohio’s 20th annual technology conference. The whole team is at our booth all day, and Chris St. Amand and Chad Puterbaugh take the stage after lunch to talk through the medallion architecture. Date Wednesday, Nov 18 30 days away Our talk 1:20 to 2:10 p.m. Session 3, after lunch Venue Sinclair Conference Center North entrance; parking under Building 12. [Directions](https://www.google.com/maps/search/?api=1&query=Sinclair+Conference+Center+444+W+Third+St+Dayton+OH) Find us The Smart Data booth All day, 8:30 a.m. to 5:00 p.m. At the booth, all day ## Meet the team at the booth Connect before the event so we know to look for you. Chris St. Amand Co-CEO Chad Puterbaugh Data Architect Riel St. Amand AI Solutions Advocate Alexa Murrietta Chief of Staff Justin Smith Solutions Architect Robyn Miller Business Development and Partnership Manager Ask us about Data in a dozen systems and reports that disagree We build the platform that pulls it together on Microsoft Fabric or Databricks, with governance from the first decision. AI pilots that never make it to production We ground AI in your own governed data, so its answers can be checked and its cost planned. Build with us in Dayton and Hyderabad We’re hiring engineers and analysts. Ask the team what working here is actually like. Speaking session ## Wrangling Your Data with the Medallion Architecture > “AI is good at finding patterns. It can’t tell you a pattern came from a bug.” Chris St. Amand Why two reports never agree The problems every data team knows Bronze A raw copy of every source Silver Where trust gets built Gold Business-ready for dashboards and AI On your platform Fabric, Databricks or Snowflake Where to start And the prize draw Technology First ## Back at Taste of IT for another year Named Best IT Services Company by Technology First Two talks and a booth “Hype or Help? Real-World Lessons from Applying AI to IT Software Projects” Recent work ## The work we’ll be talking about ### SAP ECC 6.0 to Microsoft Fabric for a global industrial group Six operating entities on one SAP ECC 6.0 system, brought into Fabric with no RFC bulk extraction and entity-level security. The client's Basis and SAP teams found the process much easier than they expected. - Microsoft Fabric - SAP Integration - Lakehouse Architecture [SAP ECC 6.0 to Microsoft Fabric for a global industrial group](https://www.smartdata.net/case-studies/sap-ecc-microsoft-fabric-industrial) 78% ### of legacy transformation types handled by the AI-assisted migration tool An AI-assisted tool that converts legacy ETL into tested Databricks pipelines. In a three-month first phase across 177 legacy jobs and scripts, it handled 78% of the legacy transformation types, with tests generated alongside every conversion. - Databricks - ETL & Data Pipelines - Claude [Legacy ETL to Databricks for a major national retailer: of legacy transformation types handled by the AI-assisted migrat](https://www.smartdata.net/case-studies/databricks-migration-national-retailer) ### Unified data pipeline from three charging platforms to a Snowflake dashboard Charger and fleet data from Synop, Geotab and Ampcontrol unified through AWS serverless pipelines into Snowflake, behind a customer dashboard on live data. - React - TypeScript - AWS [Unified data pipeline from three charging platforms to a Snowflake dashboard](https://www.smartdata.net/case-studies/project-ev-data-pipeline) Not going to Taste of IT? ## Talk to us about scope One call about what you’re trying to do. You get a written proposal if the work fits. ### A short call What runs today, what needs to change and where the medallion layers would start for you. ### An engineer looks at what’s running Scope comes from your systems as they are, before anything is priced. ### You get a written proposal Covering scope, team, approach and price. [info@smartdata.net](mailto:info@smartdata.net)[(937) 886-9166](tel:+19378869166)