UI/UX Design

**Sistema de Reconocimiento Facial** *Reconocimiento facial en la nube con AWS y Machine Learning* ¿Te gustaría aprender cómo funciona el reconocimiento facial y cómo construir una solución real usando servicios de AWS? En este meetup exploraremos los fundamentos de visión por computadora y desarrollaremos un sistema práctico de reconocimiento facial en la nube utilizando **Amazon Web Services**. Veremos cómo registrar rostros, validar identidades y crear flujos de acceso inteligente con herramientas de Inteligencia Artificial listas para usar. Este evento está pensado tanto para personas que quieren dar sus primeros pasos en IA aplicada, como para developers y profesionales tech interesados en conocer casos reales con cloud computing. Además, podrás hacer networking y conectar con la comunidad tech de **San Luis Potosí** en un ambiente relajado y colaborativo. 🤝 Networking con la comunidad tech de San Luis Potosí 🧠 Taller práctico de reconocimiento facial con AWS ☁️ Introducción a Machine Learning aplicado a imágenes 🚀 Caso real: control de acceso inteligente 😄 Evento abierto para todos los niveles 📌 **Requisitos para seguir el taller** Para participar activamente, te recomendamos traer: 💻 Computadora personal 🧑‍💻 Visual Studio Code 🌱 Git instalado Cuenta activa en **Amazon Web Services** Muchas ganas de aprender 🗓 **Fecha:** 7 de mayo 🕕 **Hora:** 6:00 PM 📍 **Lugar:** Oficinas de Encora 💡 Evento gratuito – cupo limitado ¡Regístrate y acompáñanos a aprender, conectar y construir soluciones inteligentes con AWS! 🔐☁️

**Building a great product is one thing—building momentum behind it is another.** Join **Senior Product Manager Adam Solaiman** and **User Experience Manager Tyson Smith** for a behind-the-scenes look at what it takes to turn complex ideas into scalable products inside large organizations. In this session, they’ll share how teams move from ambiguity to execution—navigating organizational complexity, aligning stakeholders, and continuously evolving products after launch. You’ll walk away with insights on how to: * Build and sustain momentum across teams * Adapt to changing priorities without losing direction * Scale products thoughtfully in complex environments Whether you're driving a new initiative or growing an existing product, this conversation will give you practical strategies to keep things moving forward. Come connect, learn, and swap stories with fellow product professionals. \-\-\- Food and drinks will be provided by Switchbox, our generous host. Free parking will be available at the front and back sides of the Switchbox Office.

We meet to learn and practice American Sign Language and to grow our familiarity with Deaf culture. Facilitated by hearing folks (with a connection to a professional interpreter) using Deaf-created content. People of all ASL skill levels are welcome! As we learn, we hope to connect more with the Deaf community in Central Ohio. Join us as you're able! Come regularly or just once - whatever you're looking for! Each meetup will explore different topics related to ASL/Deaf culture, and will feature time to practice conversation with one another. Just bring yourself and a willingness to learn!

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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.

**Total Eclipse of the Chart: School Redistricting Dashboards** In this presentation, we will explore the utilization of maps, sets, and SQL within a Tableau dashboard to help provide “what-if” analyses generated through the use of a mapped dashboard, providing different scenarios and the potential implications of these. While in this use case we are focused on a large school district, the concepts of utilizing existing data to explore the future impacts of modifying different geographic boundaries can be useful to many industries, balancing the mix of maps with visual analytics. **About Our Speaker** Robert Kramer is the Data Systems and State Reporting Coordinator at South Western City Schools in Grove City. He has worked there for 17 years, serving previously in the roles of Data Analyst, Programmer, and Operations Coordinator. Prior to working at South Western, he worked as a Systems Engineer at Pinnacle Data Systems in Groveport. He graduated in 2005 from The University of Toledo with his Bachelor’s in Computer Science and Engineering, and a minor in Mathematics. Robert resides in Obetz with his wife, and their 15 and 12 year-old daughters. He was also just elected to his 3rd four-year term on the Obetz City Council. Thanks to our 2026 sponsors: [Clarivoy](https://www.clarivoy.com), [What Box Consulting Group](https://www.whatboxconsultinggroup.com), [Conductrics](https://www.conductrics.com), and [Piwik PRO](https://piwik.pro) More info at [cbusdaw.com](https://cbusdaw.com)

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

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