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Columbus Women's Investing & Personal Finance Meeting
Sun, Aug 9, 6:00 PM**Welcome to the Women’s Columbus Bogleheads® Sub-Group** This sub-group is for **women who want to learn and discuss finances in a safe, supportive space**. For those interested in moving towards financial independence and retirement by learning investment basics, choosing your 401(k) investments, minimizing taxes, and more. We’re a local chapter of **Bogleheads®**, following a long-term, practical investment philosophy: [Investment Philosophy](https://www.bogleheads.org/wiki/Bogleheads%C2%AE_investment_philosophy): https://www.bogleheads.org/wiki/Bogleheads%C2%AE_investment_philosophy [Bogleheads Forum](https://www.bogleheads.org/index.php): https://www.bogleheads.org/index.php No question is too small, and no experience is too simple. Share, ask, and learn — at your own pace, without judgment, in a group of like-minded women. Let’s build confidence and knowledge **together**!
Investing & Personal Finance Meeting
Sun, Aug 9, 7:00 PMIf you are interested in selecting investment choices for your 401(k) or other workplace savings plan, minimizing your income tax liability, or identifying the most effective investments for your brokerage account, we are the group for you. We are a local chapter of Bogleheads, whose investment strategy can be found here: https://www.bogleheads.org/wiki/Bogleheads%C2%AE_investment_philosophy Or you can peruse the Boglehead forum here: https://www.bogleheads.org/index.php I look forward to seeing you there. Mark Vonder Haar
Christians in Tech - Meetup #41 @ Improving
Sat, Aug 8, 5:00 PMChristians in Tech is a community at the intersection of faith and technology. Our meetups are designed to spark meaningful conversations, promote knowledge sharing, and encourage growth—both in your career and your spiritual walk with God. Whether you're an experienced professional or just starting your tech journey, CIT welcomes you. Our Website [https://linktr.ee/citcbus](https://linktr.ee/citcbus) Sponsors and Partners * Improving (Venue Sponsor) * Bethel World Prayer Center (Fiscal Sponsor) * Fruits & Roots (Coffee Partner)
NFT AI ART Columbus
Thu, Aug 20, 1:30 PMNFT's are here to stay folks! This is a group for like minded people interested in understanding, leveraging, using, creating for, profiting from, trading too i suppose, NFT's.. everything around them, complexity, fear and exploits, best practices and more. **PLUS** This group will talk AI ART tools, techniques, artists, video, audio, prototypes and more in the AI assisted production space- ART specifically, but we can get into any aspect of some of the cooler things happening in AI in general.
Data & Analytics Wednesday - Voice Agents and AI
Wed, Aug 12, 10:30 PM**“I’m Sorry, Can You Repeat That?”** **\- When and Why Voice Agents Fail** Every contact center leader has heard it: a caller repeating their name three times, getting more frustrated with each attempt. The dashboards look clean. Containment is up, confidence scores look fine. The system looks like it’s working, but your customer just had their worst interaction of the week, and none of your metrics caught it. Analyzing voice-driven customer experience today means chasing answers across a dozen scattered signals, transcripts, sentiment scores, handle times, escalation rates, without a comprehensive map of the thing you’re actually measuring: a conversation. That map exists, and it’s called linguistics. With it, the scattered signals fall into their right spots and order, and you stop patching symptoms and start diagnosing the experience. The map starts with a simple model. Every conversation runs on two channels: the form (sounds, words, timing, turns) and the meaning (the task, the situation, the feeling). Customers keep both channels aligned, with each other and with their partner’s, continuously and without thinking. A voice agent that serves them well has to do the same: keeping its form and meaning channels aligned, with each other, and with the customer’s, constantly and seamlessly. The map survives every technology shift, because it describes the conversation, not the implementation. From it, you get both halves of the job: design questions for building better customer experiences, and a matrix that turns “the customer was frustrated” or “the bot just didn’t get it” into concrete, measurable, fixable failure modes, the missing rows in your voice-of-customer analysis. Who this is for: CX and customer service leaders, analysts working with call and chat data, voice AI practitioners, and anyone who’s watched clean dashboards while their customers quietly suffered. **About our Speaker:** [Midam Kim](https://www.linkedin.com/in/midamkim/) is an ML Engineer at [ServiceNow](https://www.servicenow.com/), where she builds and evaluates a multilingual voice AI platform spanning a dozen languages. She holds a PhD in Linguistics from Northwestern University and has backgrounds in linguistics, speech science, cognitive science, machine learning, and business. Her work sits at the rare intersection of production ML engineering and speech science—translating decades of linguistic research into the engineering decisions voice AI teams are making right now. **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/)
CBusData - Translytical Task Flows: So Much More Than Write-Back
Thu, Aug 13, 10:00 PMTranslytical Task Flows: So Much More Than Write-Back When was the last time a dashboard made you reach for your phone to film it? By the end of this 45-minute session, you will want to. With Microsoft introducing Translytical Task Flows, Power BI now has a native Fabric-backed pattern for write-back. Update that row. Approve that line item. Override that forecast. These are all things we have wanted, and they are wonderful. If you are not using Translytical Task Flows for that, start Monday. But there is more. So much more. That button connects to Fabric User Data Functions, and it is not just a write-back widget. It is serverless Python running directly in Fabric. You can pass report context and user input into governed business logic, access Fabric data sources through managed connections, inspect the verified caller’s identity metadata, call external APIs when appropriate, and do it without standing up a separate API server. Write-back is just the beginning. What happens when the button is not constrained to a table update? What happens when it can reach past your warehouse, past your tenant, and into the systems and services your business actually runs on, while still answering the question of who clicked it? That is what this session is about. What you'll see, no spoilers: One button in Power BI. Nothing pre-recorded. Nothing pre-canned. All live, in front of you.
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