Machine Intelligence

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.

**Talk Description** For most of Python's history, the predominant option for documentation has been Sphinx and reStructuredText. However, a majority of other ecosystems have adopted Markdown. There are historical reasons for reStructuredText being a better choice, however, Markdown is now up to the task. In this talk, you'll learn why Markdown is a better option for your project's documentation. You'll be introduced to MkDocs, a static site generator built around Markdown content, and a series of associated plugins and extensions that you need to bring Sphinx-like capabilities to Markdown documentation. You'll hear a case study of migrating multiple large, existing Sphinx-based documentation bases to Markdown, including the tools used for automating the process. You'll learn how you can engage the community to assist with the effort. Finally, you'll learn why it's worth the effort to make a change of this magnitude. **Agenda:** 7:00pm - Opening announcements 7:10pm - Switching from Sphinx to Markdown 7:50pm - Q&A

You have heard about AI. You know it can benefit your business. \- Can it save you time? \- Respond to customers faster? \- Allow you to take extra profits? Each meetup will break down 1-2 real example scenarios of how AI implementation can relieve stress or even push you further towards your goals. Free. No hype. Just discussing how AI can be implemented in your small business. Rise Commercial District 1509 Blatt Blvd Gahanna, Ohio 43230 Conference Room: Once inside building, conference room is down the left hallway

NFT's are here to stay folks! This is a group for like minded people interested in understanding, leveraging, using, creating for, profiting from, trading too i suppose, NFT's.. everything around them, complexity, fear and exploits, best practices and more. **PLUS** This group will talk AI ART tools, techniques, artists, video, audio, prototypes and more in the AI assisted production space- ART specifically, but we can get into any aspect of some of the cooler things happening in AI in general.

Central Ohio Radio Enthusiasts—CORE—is an informal community for anyone enthusiastic or curious about radio—whether you're new to radio and want to learn or you've been tinkering for years and want to share. Ham radio operators, GMRS users, Meshtastic fans, software-defined radio nerds, makers, and technical and non-technical folks are all welcome. No experience required or expected. This month we have **Radio Signal Analysis Using SDRs and OpenWebRX+** with **Scott McCrory**. Details are are [core.radio](https://core.radio/).