Streaming Analytics

**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)

We're planning a hands-on technical session focused on building AI solutions in ServiceNow - think skills, agents, and real-world use cases. If you’re curious about AI on the platform, RSVP now and stay tuned for more details. Let's build together!

Our next much-awaited **COLUMBUS** meetup is **Tuesday June 30th from 7-10 pm EST at ACE OF CUPS**. Meet patients, cultivators, processors, dispensary managers/staff, physicians, home growers, educators, activists, nonprofits, artists, attorneys, business owners, writers, students, and supporters to network, share our knowledge, collaborate, support each other and make new ones! Hope you will be there too! Save the date and pass the word. **Please RSVP** so we know who is coming and how many to expect. Find us to say hi and we will introduce you to others. We should be easy to spot. (The happy-looking group wearing cool nametags! See photos from our past events.) Sign in, grab a name tag, start your own bar/food tab, meet old friends and make new ones! Everyone is welcome. SEE YOU THERE!

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

**🔥 Lincoln Street Salsa HAS MOVED TO EVERY FRIDAY, NO MORE SATURDAYS!** **🔥 Lincoln Street Salsa @ 1717 Brice Rd, Reynoldsburg 43068** **🔥 Salsa, Bachata, Merengue Dancing!** **🔥 NO PARTNER OR EXPERIENCE NEEDED!** **🔥 Every FRIDAY, 8 pm - 1 am** **🔥 8:00 pm - 8:30 pm = Registration** **🔥 8:30 pm - 9:30 pm = Beginner Dance Class** **🔥 9:30 pm - 1:00 am = Open Dance Party** **🔥 LincolnStreetSalsa.com** **🔥 Questions? Text Todd 614-774-8146**

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.