Social Learning

**Practical Curiosity: Learning from Everyday Data** How do we actually get better at utilizing our day-to-day data? Fancy dashboards and complex models might look nice and draw attention, but that’s not where most of us spend our time. In fact those shiny outputs frequently sit unused, while the real insights are drawn from the analyst’s daily practice. Sometimes it’s as simple and as powerful as noticing that a segment is shrinking, a channel is underused, or certain links keep getting all the clicks. There’s many different places that the spark of insight can come from, but you have to keep your head in the data and know where to look. In this session, we’ll explore real-world examples of how segmentation, testing, and click behavior can uncover practical digital marketing opportunities. You’ll leave with inspiration for your own use cases, along with a few simple ways to ask better questions, spot meaningful patterns, and make smarter decisions without overcomplicating it. **About Our Speaker:** [Elaine Armbruster](https://www.linkedin.com/in/elainearmbruster/) is a Director of Digital Experience at the [American Diabetes Association](https://diabetes.org/), where she focuses on using data and insights to create smarter, more effective digital experiences. A lifelong Columbus resident, she has built her career in email marketing and the broader digital user journey, and is finding she most enjoys working in the messy middle where systems, data, and big ideas don’t quite line up yet. 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)

If you enjoy knitting, crocheting, working with yarn, this is the group for you. Meet new friends, bring your projects, learn from others.
We normally meet a few times a month during the week from 6-8pm. We will occasionally meet on weekends during daytime hours.

📈 **Win on Prediction Markets – Polymarket Masterclass** Learn to read and win prediction markets consistently. Data-driven and repeatable. ⚠️ Register below to confirm — RSVP is not your ticket in. ### [🔗 REGISTER NOW](https://aiventurelab.org/product/Polymarket?city=Columbus&groupurlname=the-book-lovers-journey-discussion-group&startgmtdatetime=2026-07-07T22:00:00Z) --- What you'll learn: - Risk management techniques for prediction markets - The edge that separates profitable traders from the rest - How to read market signals others miss *The forecasters who win have a system. Get yours.* 🎯

Want to learn pickleball in a fun, low-pressure setting? I’m hosting a free beginner-friendly meetup at Olentangy Parklands to help new players learn the basics and get comfortable on the court. I’m a pretty skilled player and will walk everyone through the essentials, including rules, scoring, serving, basic strategy, and how to start playing real games. No experience needed. We’ll meet on the upper courts. Bring a pickleball paddle if you have one. If not, no problem, I’ll have some extras available for people to use. This event is meant for beginners and anyone curious about trying pickleball for the first time. Come ready to move, learn, and have fun.

Most people use LLMs by feel: ask a question, read the answer, decide whether it “seems good,” and move on. That works for casual use. It does not work when you are building software, automating workflows, writing important documents, or relying on AI for anything that needs to be repeatable. In this talk, we’ll look at how to improve and evaluate the inputs and outputs of LLMs using practical measurement techniques. We’ll cover how prompt changes affect results, how to compare outputs, how to build simple evaluation sets, and how math-based methods like similarity scoring can help you move beyond guesswork. This will be beginner-friendly, so even if you don't know anything about AI, you should get something out of it. However, this will be a little more technical than our intro talks. You do not need to be an AI researcher, but programmers and technically curious attendees will get a lot out of it. We’ll cover: * Why “it looks good” is not enough * How to improve prompts by changing the input, context, and constraints * How to compare LLM outputs more systematically * Basic evaluation techniques for accuracy, consistency, and usefulness * How embeddings, cosine similarity, and scoring can help evaluate results * Where automated evaluation works — and where humans still need to stay in the loop By the end, you’ll have a practical mental model for treating LLMs less like magic and more like systems you can test, measure, and improve. LOGISTICS AND PARKING: The talk starts at 7:00 PM. The first half hour is reserved for everyone to get set up and mingle. Free pizza and drinks! The cheapest parking option is to find street parking, which will only cost you a few bucks. Otherwise, park in the nearby veteran's museum lot for $8. It's highly recommended you avoid the nearby $15 garage parking.

Whether you're a big baseball fan or not, you might like the social twist we put on a Clippers game! $5.00 Fridays: Select small beers are $5! They also have your favorite hard seltzers and wine. **PREGAME**: Meet at ***Barley's Brewing on 467 N High Street***, just a few blocks east of the ballpark. **HAPPY HOUR** is 4-7pm with pregame specials and $4 pints! *At 7pm, we'll walk from Barleys to Huntington Field.* **TICKETS**: $10.00 at gate, purchase **STANDING ROOM ONLY**. **MEETUP**: We'll be near the Right Field bar stools/picnic tables. **RAIN?** Unless it's a thunderstorm or heavy rain, they play. We have a nearby plan B, indoors at Grandview Yard, if raining. **PARKING**: The garages near Nationwide will be busy with concert goers. *Find space in lots next to the ballpark (along W Nationwide Blvd) and near Crew Stadium. Short walk.* SRO (standing room only). These are the cheapest seats to purchase. WE WILL NOT BE STANDING much at all. The areas we land on have bar stools or picnic tables. There are also plenty of "lean on" along the first and third base line. Play ball!

🚀 **Go Viral with AI – Faceless Content on Autopilot** Launch a content brand that grows on autopilot using AI-generated media. ⚠️ Complete registration to confirm your seat. RSVP is not enough. ### [🔗 SAVE YOUR SEAT](https://aiventurelab.org/product/AiInfluencer?city=Columbus&groupurlname=the-book-lovers-journey-discussion-group&startgmtdatetime=2026-07-07T22:00:00Z) --- What you'll create: - A monetisation path from day one - AI tools to generate, edit, and post content automatically - A faceless brand that runs without your time *Your brand. Your rules. No face needed.* 🚀