Binokel

Join us for happy hour and then **BINGO**! *Bingo starts at 6:30pm*. Feeling lucky? Many from our group win cash and prizes at this bingo! Great happy hour prices and maybe some 💰! Three games, 5 rounds each. Each game, buy 2 cards/$5, 4 cards/$10, etc. **BRING CASH!** [Pastimes](https://www.pastimespubandgrill.com/crosswoods/) is a neighborhood sports bar with a creative and fresh food menu, delicious cocktails, infused liquors, and very cold beer!

Pay attention! We’re delaying a week for those of you who may be on Spring break and/or celebrating the holiday. Ok, no pancakes, but waffles-a-plenty. Join the local UX and Digital Design community for a casual monthly breakfast. Look for us upstairs!

Bring your Raspberry Pi, Arduino, microcontroller, or any other electronic project and join fellow electronics makers for a night of creativity and collaboration! This session is open forum to share your current projects—whether complete or in progress, it’s all interesting! Whether you’re deep into embedded systems, exploring new ideas, or just getting started, you’ll find a welcoming space to collaborate, share, and get inspired. **New to electronics or curious about tinkering?** You’re absolutely welcome. If you’re a beginner and want to experiment, I’ll have a couple of starter kits available so you can try things out—whether that’s blinking your first LED, putting something on a display, or experimenting with simple sensors. No pressure and no experience required—just an interest in learning and building. While we continue to pursue a more permanent venue for this Meetup, we’ll be using public library facilities based on availability. This session will be at the Worthington Park Library in the Olentangy Meeting Room.

AI is changing how art is made. But when does it stop being your work and start being the machine’s? This month we're going to be doing a panel with with digital image, music, and written word artists, talking about at what point, while using AI in the creation process, does the work become not the artist creation? We encourage audience participation during this event that will be moderated by Chris Slee. Whether you’re deep in the field or just getting curious, come connect with others building and exploring AI in Columbus. Sponsored by [Transform Labs](https://www.transformlabs.com/services)

**Important time note:** Please plan on arriving between 5:30 and 6:00 as the elevators lock after 6 and you'll need to message us and we'll need to come get you. The building address is 4450 Bridge Park The entrance is 6620 Mooney St, Suite 400 You will need to scan your ID at the door to get a visitor badge. **Abstract** GitHub Copilot is powerful, but what if you could scale from a solo AI assistant to an entire team of specialized agents working in parallel? This session introduces Squad: an open-source framework for multi-agent orchestration that lets you define teams of AI agents with specific roles, responsibilities, and expertise. We'll progress from Copilot basics to the Copilot CLI, explore how Agents add autonomy, and see how Instructions and Skills let you customize agent behavior. Then, the climax: a live demo where a Squad team of 3 agents (Lead, Developer, Tester) stands up and builds a working application in real-time, showcasing true multi-agent collaboration. Whether you're new to AI or exploring how to scale your use of Copilot, this session will show you what's possible when agents work as a team. **YouTube Link** TBD

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.