Microsoft Excel

I love my job and one of the main things I do is help customers get going with any of the data technologies at Microsoft. Right now there are a lot of my customers asking about Microsoft Fabric. It's hard to weave across all the shiny new options across the Fabric landscape, let alone figure out where it fits into your organization. In this session we'll focus on answering one question - how can I get data into Fabric? We'll talk through the "it depends" options and see some of the options in live demos.

**People Analytics 101: Making Sense of Compensation Data** Compensation data is one of the most widely used and widely misunderstood forms of people analytics. The session will cover where compensation data comes from, including market pricing data, internal payroll data, and benchmarking sources, and how companies think about structuring and analyzing that information. We will explore how compensation data is leveraged to set salary ranges, manage internal equity, support hiring and retention, and align pay with business strategy. A portion of the session will address common data challenges and limitations, such as market noise, inconsistent job matching, and incomplete datasets, while keeping the primary focus on practical use rather than technical depth. The session will also look ahead at where the space is going, including the growing impact of pay transparency laws, expanding pay equity requirements, and emerging regulations in the US and Europe that require organizations to report on gender and pay gaps. The goal is to give attendees a clear mental model for how compensation analytics works today and why getting it right is becoming increasingly critical. (note: we are back at Rev1 this month!) **About Our Speaker** [Alex Moore](https://www.linkedin.com/in/alexscottmoore/) is the founder of [Moore Cooperative](https://moorecooperative.com/), where he advises organizations on compensation strategy, pay equity, and people analytics. His work focuses on helping organizations like the Ohio Supreme Court design, analyze, and communicate compensation systems that are data-informed, defensible, and aligned with organizational goals. Alex lives in Granville, Ohio and has three little kiddos. More info at [cbusdaw.com](https://cbusdaw.com)

As you may or may not know--I didn't until late last year--Aristotle wrote extensively on "friendship" in the Nicomachean Ethics. After 69 years the concept of friendship still creates questions and uncertainty. I had close friends in high school and for a few years after high school but our interests diverged and people moved all over the country so it was hard to maintain connections. * So if I/you haven't talked with a friend for several years, are you still friends? Are we friends who meet at Drunken Philosophy or Omnipresent Atheists? * Can you be friends with someone with whom you have virulently divergent political views? Sartre and Camus could not. * Aristotle regarded friendship as essential to a good life, not merely an added "bonus." Do you agree? * In the Nicomachean Ethics (Books VIII and IX), he claims that wealth and power are meaningless without friends. Trump has wealth and power but seems to have no real friends, but wealth and power seem meaningful to him in perverted ways. Can you have meaning in your life without friends? * Do men and women view and maintain friendships in different ways? * Aristotle categorizes friendship into three types, based on what forms the bond: * **Utility**: Based on mutual benefit, but this type is fragile and ends when the usefulness ceases. * **Pleasure**: Based on shared enjoyment (e.g., humor, hobbies). Common among youth but fades as interests change. * **Virtue (The "Complete" Friendship)**: Based on mutual respect for each other's character and goodness. You wish good for the other for their sake, not yours. * **Key Principles of "True" (Virtuous) Friendship:** * **Permanence**: Virtuous friendships last a lifetime whereas those based on utility and pleasure are fleeting. * **Reciprocity**: Requires mutual goodwill; secret or unreciprocated affection does not qualify. * **The "Second Self"**: A true friend is "another self"—their virtue helps you understand and improve yourself. * **Time and Intimacy**: Deep ("complete") friendships are few, built on time and shared experiences. * **Self-Love and Friendship:** * Good friendship starts with being a friend to yourself. * They distinguish shallow egoism (chasing honors) from real self-love (pursuing virtue). * A virtuous person’s pleasant self-company allows them to be a stable, good friend to others. * Aristotle argues that one's social circle ultimately reflects one's character—a view with striking relevance today. Well--the Drunken Philosophy social circle certainly reflects good character!

### Tools in your AI's Toolbox : An introduction to MCP Servers The generative AI revolution has unlocked unprecedented capabilities, but the next frontier is agency: empowering models to interact with, query, and act upon the world. The current challenge is the “N x M integration problem,” where every AI model requires a custom, brittle integration for each external tool or data source. This approach simply doesn’t scale. How can we give an AI access to our sales leads, code repositories, or IoT devices in a standardized, secure, and reusable way? This session introduces Anthropic’s Model Context Protocol (MCP), the open-source framework designed to solve this challenge and become the universal connector—the USB-C port—for AI. MCP standardizes how AI models discover and use external tools, moving beyond simple function-calling to a robust, client-server architecture. We will dive into how this open protocol is creating a new ecosystem for building powerful, context-aware AI agents. Join this session for a developer-focused introduction where you will learn how to: Understand the core concepts of the open-source Model Context Protocol and its architecture. Utilize pre-built, open-source MCP servers to instantly connect AI to tools like Git, Slack, and databases. Build a custom MCP server to securely expose your own proprietary data and APIs as tools for any compliant AI. Move beyond bespoke integrations and contribute to a standardized, collaborative, and open ecosystem. Stop building one-off connectors and start building intelligent agents. This session will give you the practical knowledge to leverage MCP and create the next generation of AI that doesn’t just talk, but does. Want to be a speaker? submit your talk to our Call for Presenters!!! [https://sessionize.com/azure-cbus-2026/](https://sessionize.com/azure-cbus-2026/)

Let's Crop!

**NEW LOCATION: Improving Office in Franklinton** Physical location: Improving Office 330 Rush Alley Suite #150 Columbus, OH 43215 Schedule: * 6:00 p.m.: Socialize, eat, and drink. Improving will be providing pizza and beverages. * 6:30 to 8:00 pm. Main meeting and presentation(s). Lonnie Morgan will be presenting information about the DLT Library. "The Python library `dlt` provides a powerful [REST API toolkit](https://dlthub.com/docs/dlt-ecosystem/verified-sources/rest_api/basic) to ingest data. Combined with our [LLM scaffolds](https://dlthub.com/workspace) and [MCP server](https://dlthub.com/docs/hub/features/mcp-server), you can build a custom connector for any of the 8k+ available sources in 10 minutes by following this guide. Building with LLMs is an iterative process. We will follow this general workflow and give practical tips for each step." See Our [Parking Map](https://docs.google.com/presentation/d/1u2A4fLNlxwLJn0KA_hKc8bnFlFHLvsHBDh-_8wzX_tk/edit?usp=sharing) We meet on the last Monday of each Month. Presentations are given by members and friends of this group. If you would like to do a presentation (small or large) on a python topic, please contact centralohpython@gmail.com