Systems Thinking

**Building a great product is one thing—building momentum behind it is another.** Join **Senior Product Manager Adam Solaiman** and **User Experience Manager Tyson Smith** for a behind-the-scenes look at what it takes to turn complex ideas into scalable products inside large organizations. In this session, they’ll share how teams move from ambiguity to execution—navigating organizational complexity, aligning stakeholders, and continuously evolving products after launch. You’ll walk away with insights on how to: * Build and sustain momentum across teams * Adapt to changing priorities without losing direction * Scale products thoughtfully in complex environments Whether you're driving a new initiative or growing an existing product, this conversation will give you practical strategies to keep things moving forward. Come connect, learn, and swap stories with fellow product professionals. \-\-\- Food and drinks will be provided by Switchbox, our generous host. Free parking will be available at the front and back sides of the Switchbox Office.

When judging morality, should we prioritize **intentions/duty** or **outcomes/results**? It introduces two influential philosophers as representatives of these approaches. * **Immanuel Kant (deontology):** An action is moral when it is done from **duty** and follows rational, universal principles (the **categorical imperative**). Certain acts—like lying—are wrong regardless of the consequences; you can’t do a wrong thing for a right reason. * **John Stuart Mill (utilitarian consequentialism):** The morality of an action is determined by its **effects**, specifically how much **happiness/well-being** it produces. Mill argues that some pleasures are “higher” than others, and that good intentions don’t redeem harmful outcomes. ## Discussion Questions 1. **The lying dilemma:** A murderer comes to your door and asks if your friend is hiding inside. Kant would say you must not lie. 2. **Can good intentions rescue a bad outcome?** 3. **The organ harvest problem:** A surgeon has five patients dying of organ failure and one healthy patient in for a checkup. Killing the one to harvest organs would save five lives, and the math works out for the utilitarian. Why does this feel so deeply wrong? Is that feeling a point in Kant's favor, or just a bias we should overcome? 4. **Do rules need exceptions?** Kant insists moral rules must be universal, with no exceptions. But most of us can imagine extreme scenarios where any rule seems like it should bend. Does the need for exceptions fatally undermine deontology, or is the strength of the system precisely that it refuses to bend? 5. **Who gets to calculate the consequences?** Utilitarianism asks us to maximize good outcomes, but we're notoriously bad at predicting consequences. If we can't reliably know the results of our actions, is it practical to base our entire moral system on outcomes? Does this uncertainty push us back toward rules and principles? 6. **Everyday morality:** Think about a real moral decision you've made recently, even a small one. Did you reason more like a Kantian (what's the right thing to do in principle?) or more like a utilitarian (what will produce the best result?)? Do most people naturally lean one way? 7. **Justice vs. the greater good:** A town can prevent a deadly plague by sacrificing one innocent person. The greater good is clearly served. But is it just? Can an action be morally right and deeply unjust at the same time? 8. **The big synthesis question:** Are these two systems actually opposed, or do they often arrive at the same answers by different paths? Is it possible that we need both: rules to guide us in the moment and consequences to evaluate systems and policies over time?

How do we recover from having had a toxic or narcissistic ex? How do we move on from the past, especially something as traumatic as a divorce or breakup? How do we avoid anxiety and depression? How do we have more self esteem? In this meeting, you will learn the mental health secrets to help you quickly get over the past and heal your mind. Be sure to click on the red "Attend" button below to come to this local event. We look forward to seeing you there. This group is created by the Dianetics & Scientology life improvement center.

Practical AI for Power BI Developers A year ago, “agentic AI” was mostly hype for Power BI teams. Today, it deserves your undivided attention. For Power BI pros, there is now a real opportunity to reduce repetitive development work, accelerate delivery, and help developers do more, but only when strong DataOps practices are in place to make AI workflows effective. This session is a no-nonsense introduction to effective AI patterns for Power BI and Fabric development. Along the way, we will make sense of the growing pile of terminology, including skills, plugins, hooks, and MCP. You will see examples of how modern AI tooling can help with development tasks across Power BI and Fabric, along with the prerequisites, guardrails, and DataOps principles needed to use it responsibly. Whether you're burned out on AI hype or already using Copilot CLI daily, this session will show you the foundations that are finally making AI-assisted development genuinely useful.

It's official, submissions for "Resistance, Resilience, Utopia" are are on their way from being independent pieces to becoming the second volume of gINKgo. This year we are going to have a launch party at Birdie Books on May 15th from 6-8pm open to the whole community! Come on over and help us support the creators with food, drinks, art, writing, open mic, music, community activities and more.

Customer identity resolution becomes increasingly complex as organizations scale across multiple systems, regions, and data formats. Traditional rule-based approaches often fail to keep up with data variability, require constant manual tuning, and struggle with real-time processing needs. This session presents a practical approach to building a scalable identity resolution pipeline using AWS services and modern AI techniques. The architecture combines data ingestion through Amazon S3 and AWS Glue, transformation pipelines using Spark on EMR, and machine learning models deployed via SageMaker for entity matching and standardization. Graph-based relationship modeling is implemented using Amazon Neptune to improve resolution accuracy by incorporating household and shared attribute context. We will walk through how machine learning models can be used for name and address normalization, how intelligent blocking strategies improve matching efficiency, and how feedback loops can be introduced to continuously improve accuracy. The session also highlights how serverless components such as AWS Lambda can be used for orchestration and real-time processing. **SPEAKER BIO** Mosaic Syed is a Senior Data Engineering and Cloud Solutions Architect with over 20 years of experience designing and delivering scalable, secure, and high-performance data solutions across global enterprise environments. https://www.linkedin.com/in/mosaic-basha-syed-92300856 **CALL FOR SPEAKERS** Learn more: [https://www.awscolumbus.com/get-involved/](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/](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