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We'll meet at the flagpole in the **Ridgeview Middle School** parking lot (4241 Rudy Rd). Parking there is fine on Sundays. From the school, we cross OH-315 and the Olentangy River via the **Olentangy Trail Pedestrian Bridge**, then walk past **Whetstone Pond** and through **Columbus Park of Roses**, turning back at the **Whetstone Branch of Columbus Metropolitan Library**. About 4 miles round trip, roughly 1.5 hours. Click [this Google Maps link](https://maps.app.goo.gl/jPCyEUyA2st8uWks5?g_st=i) to view the route. All paces welcome. See you there.

Join us for 2 loops of the 1.1 mile trail surrounding Civic Park In Reynoldsburg this Thursday (5/7) at 6:30 pm. This is a fully paved trail so no worries about mud after a rainy week. Just come and get some exercise while connecting with others.

Who’s up for a fun night out? Get your boots on, grab your cowboy hat, and let’s have some fun! Thinking about checking out PBR Cowboy Bar & Smokehouse for a lively evening to unwind, connect, and enjoy the night together. • Lively atmosphere with country vibes • Delicious food + drinks • Music, dancing, and lots of laughs • Great conversation and new connections

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

Join us for a practical, beginner-friendly guide to choosing the right large language model. We’ll compare major models like ChatGPT, Claude, Gemini, and Llama, talk about when to use hosted APIs versus local models, and break down the tradeoffs around cost, speed, quality, privacy, context windows, coding ability, and reliability. You’ll leave with a clearer mental model for picking an LLM based on your actual use case instead of hype, benchmarks, or brand names. No deep AI background required. LOGISTICS AND PARKING: The talk starts at 7:00 PM. The first half hour is reserved for everyone to get set up and mingle. Free pizza and drinks! The cheapest parking option is to find street parking, which will only cost you a few bucks. Otherwise, park in the nearby veteran's museum lot for $8. It's highly recommended you avoid the nearby $15 garage parking.