Computer History

Christians in Tech is a community at the intersection of faith and technology. Our meetups are designed to spark meaningful conversations, promote knowledge sharing, and encourage growth—both in your career and your spiritual walk with God. Whether you're an experienced professional or just starting your tech journey, CIT welcomes you. Our Website [https://linktr.ee/citcbus](https://linktr.ee/citcbus) Sponsors and Partners * Improving (Venue Sponsor) * Bethel World Prayer Center (Fiscal Sponsor) * Fruits & Roots (Coffee Partner)

Want to be a speaker? submit your talk to our Call for Presenters!!! https://sessionize.com/azure-cbus-2026/

The Humanist Monthly Program is our longest running event and still a community favorite. In the old days it used to be called "Going to HCCO" and we still like to think of it as our flagship event. We will be hearing from Becca Powell, Director of Advocacy and Outreach at Unchained At Last, an organization whose mission is dedication to ending forced and child marriage in the United States through direct services and systems change. Unchained At Last's mission clearly meshes and addresses several of our Humanist Ten Commitments. Becca will educate us about an issue many of us may not be familiar with--but should be. Food and drinks will be provided at the event. Feel free to show up a little bit early to hang out and talk. Going forward our meetings will be hybrid. You can meet us in-person or attend online Join Zoom Meeting [https://us02web.zoom.us/j/87836564953?pwd=4Mi57ElZkDIFlb1fnlNwOJ0NiOK4tP.1](https://us02web.zoom.us/j/87836564953?pwd=4Mi57ElZkDIFlb1fnlNwOJ0NiOK4tP.1) Meeting ID: 878 3656 4953 Passcode: 760812 One tap mobile +19292056099,,87836564953#,,,,\*760812# US (New York) +13017158592,,87836564953#,,,,\*760812# US (Washington DC) The formal presentation will start at noon

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 **WiFi HaLow: Introduction and Practical Use** with **Alex Barbur**. Details are are [core.radio](https://core.radio).

**First meetup of the Columbus AI Engineering group.** We’ll kick things off with a practical, beginner-friendly discussion on: **How LLMs like ChatGPT actually work — and how to build real applications with them.** We’ll cover: * what’s actually happening under the hood (at a high level) * why LLMs behave the way they do (hallucinations, prompt sensitivity, etc.) * how people are building real systems with them today * where things break in practice This will be a **short, informal talk (\~15–20 min)** followed by open discussion and Q&A. Whether you’re an engineer, builder, or just curious about how modern AI systems work, you’re welcome to join. No slides, no fluff — just real conversation about real systems. We’ll hang out afterward and get to know each other.

**Improving Office in Franklinton** Physical location: Improving Office 330 Rush Alley Suite #150 Columbus, OH 43215 Schedule: 6:00 p.m.: Socialize, eat, and drink. Improving will be providing pizza and beverages. 6:30 to 8:00 pm. Main meeting and presentation(s). Topic: Type Annotations with John Cassidy We meet on the last Monday of each Month. Presentations are given by members and friends of this group. If you would like to do a presentation (small or large) on a python topic, please contact Central OH Python at centralohpython@gmail.com

The Fellowship of the Star Schema: Transforming OLTP Data for Power BI One does not simply build reports on OLTP data. Join us on an epic journey from the depths of raw, normalized tables to the shining halls of a well-modeled star schema fit for Power BI greatness. We will demystify the differences between OLTP and OLAP, walk through star schema vs snowflake (and why Power BI has a clear favorite), and show you the compression differences between normalized and columnar storage that will make you never look at an OLTP model the same way again. We will cover the different types of dimensions, when to use them, and how to handle Slowly Changing Dimensions without losing your mind. You will leave knowing exactly how to identify a bad model, how to convert OLTP data into a clean star schema, and how to forge relationships that rule them all. Whether you are a data wizard, a curious hobbit, or somewhere in between, your models will never be the same.