User Group

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!

**We'll have two meetings covering AI - this second one is for Positron** We will review which AI features are linked in for Positron, and how to use them. **Location:** The meetup will be at SPARK's ([https://annarborusa.org/](https://annarborusa.org/)) Ann Arbor site: [SPARK HQ (Ann Arbor)](https://urldefense.com/v3/__https://www.google.com/maps/place/Ann*Arbor*SPARK*Headquarters/@42.2792515,-83.7447708,17z/data=!3m1!4b1!4m5!3m4!1s0x883cae3effe193cb:0x5296a53db2a282bf!8m2!3d42.2792515!4d-83.7447708?hl=en-US__;Kysr!!HXCxUKc!3EEdBNXRJKknP6LCGkZetSuEsdtChFojQnOVitFUC5C0fyilqXEbiMstT9ajBR3Cw-55qoFkrElCjQvjMdTxUw$). There is on street parking, and parking at local structures. **This will be a hybrid meeting - the Zoom session starts at 6:30 PM.** **Time:** The doors will be open at 6:00, with pizza and beverages provided. We will have a meet-and-greet-and-pizza session, and then at 6:30 we'll have a presentation. **Zoom information:** https://us06web.zoom.us/j/86862937929?pwd=woa95D1r85dobjqxQ07NfBLNdTa9hc.1 Passcode: 705462 **If you can't get in, please call me at: 734 223-3307** **Document source:**

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) Sign up also accessible via [Transform Labs Luma](https://luma.com/55umjqta)

This trail is a meandering path through the woods. There will be some overlooks and a couple stops at the creek as well as time along a waterway. It will not be a fast paced hike. There is some elevation change and uneven terrain. I will be using poles just to be safe! Will aim to get in about three miles. Optional lunch after if there is an interest.

We're bringing the community together for a casual happy hour with ServiceNow-themed trivia, food and drinks, and great conversation. Details coming soon - for now, save the date and plan to join us for connection and fun.

Are you passionate about supporting other men on their mental health journey? We’re building a movement of virtual and in-person men’s groups across Ohio — and we’re looking for group leaders who want to make a real difference with us. As a group leader, you’ll create a safe space where men can connect, reflect, and grow together. Training and support are provided — you just need heart, presence, and a willingness to lead. **Apply now to lead a group in your area:** 👉 https://form.jotform.com/taketimespeakyourmind/sym-group-leader-application Speak Your Mind is a mental health non profit dedicated to bringing our community together to end the isolation that leads to mental struggle and suicide. Learn more about them here: https://linktr.ee/taketimespeakyourmind

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.