Modeling

**Optional movie afterwards**

Columbus Code & Coffee is an inclusive, informal co-working session. People of all skill levels attend, and we love it that way. Many people (optionally) bring projects to work on, and many other people (optionally) socialize the entire time. It's entirely up to you! **What to Expect at the Intro Circle** \~\~\~\~\~\~\~\~\~\~\~\~\~ Near the beginning of the event (1:30 pm), we do a standup: * Organizer announcements, updates, and logistics Round 1 - (7 secs max): * Your name * What you're working on * What you can help others with Round 2: * Community events you wanna plug. If none, that's cool too. Round 3: * Job opportunities you're hiring for OR announce that you are looking for one. If none, that's cool. After the introduction circle, everything is self-organized! Feel free to work alone, pair up, attend one of our workshops/presentations, or mingle!

Tickets are now on sale!🥳We also will have lunch before. At the Rusty Bucket in Easton which is posted separately. 😊 Park in the East Garage.The restaurant is across the street then we can walk back together to the movie! 🥳

**TBA**

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Customer identity resolution becomes increasingly complex as organizations scale across multiple systems, regions, and data formats. Traditional rule-based approaches often fail to keep up with data variability, require constant manual tuning, and struggle with real-time processing needs. This session presents a practical approach to building a scalable identity resolution pipeline using AWS services and modern AI techniques. The architecture combines data ingestion through Amazon S3 and AWS Glue, transformation pipelines using Spark on EMR, and machine learning models deployed via SageMaker for entity matching and standardization. Graph-based relationship modeling is implemented using Amazon Neptune to improve resolution accuracy by incorporating household and shared attribute context. We will walk through how machine learning models can be used for name and address normalization, how intelligent blocking strategies improve matching efficiency, and how feedback loops can be introduced to continuously improve accuracy. The session also highlights how serverless components such as AWS Lambda can be used for orchestration and real-time processing. **SPEAKER BIO** Mosaic Syed is a Senior Data Engineering and Cloud Solutions Architect with over 20 years of experience designing and delivering scalable, secure, and high-performance data solutions across global enterprise environments. https://www.linkedin.com/in/mosaic-basha-syed-92300856 **CALL FOR SPEAKERS** Learn more: [https://www.awscolumbus.com/get-involved/](https://www.awscolumbus.com/get-involved/) **THANK YOU** *VEEAM* for hosting our meetup! To learn more about *Veeam*, please visit their website: [https://www.veeam.com/](https://www.veeam.com/) **DIRECTIONS** 8800 Lyra Dr #450 · Columbus, OH go to 4th floor. **Want to sponsor the pizza and/or bar tab?** Please contact me if you would like to sponsor this meetup's pizza and/or bar tab: angelo@mandato.com

Practical AI for Power BI Developers A year ago, “agentic AI” was mostly hype for Power BI teams. Today, it deserves your undivided attention. For Power BI pros, there is now a real opportunity to reduce repetitive development work, accelerate delivery, and help developers do more, but only when strong DataOps practices are in place to make AI workflows effective. This session is a no-nonsense introduction to effective AI patterns for Power BI and Fabric development. Along the way, we will make sense of the growing pile of terminology, including skills, plugins, hooks, and MCP. You will see examples of how modern AI tooling can help with development tasks across Power BI and Fabric, along with the prerequisites, guardrails, and DataOps principles needed to use it responsibly. Whether you're burned out on AI hype or already using Copilot CLI daily, this session will show you the foundations that are finally making AI-assisted development genuinely useful.