Data 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)

Highlights and Hidden Gems in SQL Server 2025 With so much emphasis on cloud data platforms and AI these days, SQL people can feel left behind by all the marketing hype. SQL Server 2025 was officially released in November of 2025, though, and contains a ton of improvements that will make our SQL Server deployments a bit faster, better, and more secure. There are even more improvements tucked into the release that never made a marketing blog or press release that you'll likely be learning about for the first time in this session! Join this session to learn about what makes your high availability a little more available, your performance a bit more performant, and your database more developer and app-friendly. Come spend an hour with SQL people talking SQL Server 2025 – the good, the "not quite ready for prime time", and the hidden awesomeness.

Topic to be announced. **CALL FOR SPEAKERS** Learn more: https://www.awscolumbus.com/get-involved/ **THANK YOU** *VEEAM* for hosting our meetup! To learn more about *Veeam*, please visit their website: https://www.veeam.com/ **DIRECTIONS** 8800 Lyra Dr #450 · Columbus, OH go to 4th floor. **Want to sponsor the pizza and/or bar tab?** Please contact me if you would like to sponsor this meetup's pizza and/or bar tab: angelo@mandato.com

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.

**Title**: PySteak: Simulation, Calibration, and Optimization for a High-Steaks Culinary Problem **Details:** Cooking an expensive cut of steak can be a daunting, high-stakes task for a home cook. From traditional pan-searing to reverse searing, cold searing, sous vide, cryofrying, and grill sous vide, many steak-cooking methods can be viewed as attempts to manage the same fundamental tradeoff: * *Exterior flavor and texture:* The surface typically needs to reach roughly 300–330°F to promote rapid Maillard reaction, producing a crisp texture and complex, aromatic flavors. It is often pushed beyond 350°F to induce pyrolysis and develop deeper browning, smoky notes, and char. * *Interior juiciness and texture:* To retain moisture and maintain a tender texture, the internal temperature should stay near the target temperature for the desired doneness, often around 129–135°F for medium-rare. The laws of physics are unforgiving. The heat equation tells us how the high surface temperatures needed to develop the exterior crust create steep temperature gradients that drive heat inward, often resulting in the dreaded gray band of overcooked meat beneath the surface. In this talk, I will share my journey toward engineering a steak recipe designed to develop a deeply browned crust while minimizing the gray band and preserving as much of the juicy, tender interior as possible. No advanced background in mathematics, physics, or programming is required. I’ll start with a brief and accessible introduction to the principles of heat diffusion and how to simulate it on a computer. Then, I’ll explore the role of data (i.e., measurement) in calibrating the simulation model and optimizing the recipe. **Audience Takeaway:** After this talk, the audience will have a basic understanding of how thermodynamics shapes the tradeoff between crust development and an evenly cooked interior, and how heat transfer can be simulated on a computer. They will leave with computational tools they can use to experiment with measurements, calibration, and optimization, giving them a practical starting point for engineering steak-cooking protocols tailored to their own preferences and equipment. **Zoom: This is a *hybrid* event. To attend online, join us on Zoom here at 6pm:** https://iit-edu.zoom.us/j/89379230295?pwd=NdETyE5sdYuSrvsrBZXSBFkUESBVkg.1 Meeting ID: 893 7923 0295 Passcode: 5t5WYn **Sponsor:** **[AlphaSense](https://www.tegus.com) will provide the meeting site, as well as pizza and soft drinks for the onsite participants.** * **Address:** 200 N. LaSalle Street. Suite 1100. Chicago, IL 60601 * **AlphaSense's Overview:** The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content. * The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. * **Logistics**: To access the Tegus by AlphaSense building, we require **first and last names** of those who RSVP'd by July 15. Attendees will then present their **IDs** when they arrive at the front desk (right when they enter the building). They will be sent up in the elevator to the 11th floor where we will be.

You can sleep in on the Semiquincentennial (observed), we’re shifting to the following Friday. But join the local UX community for a chat and some biscuits to catch up. If you were in CA for Figma Config, tell us all the lines and you can tell me how I can animate an SVG without coding it by hand, and why I’d even want to. Thanks to the team at Nationwide of supporting the group.

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!