Kibana

Zapraszamy na kolejne spotkanie planszówkowe! Mamy parę gier w spejsie, ale zachęcam przynieść również własne gry! Chętnie zagramy w coś nowego. Jest też miejsce na zostawienie gier na jakiś czas w spejsie, żeby nie musieć ich targać tutaj co tydzień. \-\-\- Zaczynamy o 19:00, ale warto sprawdzić [https://at.hs-ldz.pl](https://at.hs-ldz.pl) – być może ktoś otworzy siedzibę wcześniej. Jeżeli masz problem z wejściem, zadzwoń na 42-203-20-50 albo wejdź na naszego chata (patrz poniżej). Potrzebujesz więcej informacji? Skontaktuj się z nami na czacie lub mailowo. Szczegóły znajdziesz tutaj: [https://lodz.hackerspace.pl/](https://lodz.hackerspace.pl/) Więcej szczegółów uzgodnimy na naszym chacie telegram/matrix: [https://t.me/hsldz_planszowki](https://t.me/hsldz_planszowki) [https://matrix.to/#/#hs-ldz-board-games:matrix.org](https://matrix.to/#/#hs-ldz-board-games:matrix.org)

First ever Brainstorming Event coming to Łódź! 🔥🚀💰 This event is designed for business owners who want to get to know their 2-3 opportunities of their current growths. Its tailored, thats why there are limited spots. Save your seat here until 25th June: https://makeform.ai/f/SXpswO0y (Location will be anounced 2 days before the event.) See you soon!

**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)

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

Click Here For More Videos: [https://www.facebook.com/share/r/17vTa7EuwG/](https://www.facebook.com/share/r/17vTa7EuwG/) The Biggest Salsa Night to hit your mid-week is happening at Latin City Wednesdays. Get the feel of the Latin Beat as your hips and feet groove the right way. Viva Dance Columbus (2809 Festival Lane Dublin, OH 43017) 830pm-930pm Cuban Salsa Lessons 930pm-Midnight Open Latin Dance Party 15 With Lesson 10 Just Open Dance Free Parking, No Need to Bring a dance partner, No Sandals Please and Plenty of Space to Move Around.

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!

**Latest Dojo Location!** **Knotty Pine Brewing** 1765 W 3rd Ave, Columbus, OH 43212 We're going to try a new dojo location for a few weeks and see how it works Dojos are informal Python group study sessions where everyone interested in Python gathers to learn about Python, help others with Python, or just hang out. Everyone is welcome from Python beginners to experts. Bringing a laptop is encouraged (we'll have extension cords and power strips). If there's something you want to learn leave a comment on this invite so we can plan ahead. We're looking for speakers for our Monthly Meetups! Fill out the form if you are interested in presenting to the Python Community. https://forms.gle/ehSfUAC2WgR34Crq9

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.