Computer Forensics

# 🌟 Season of AI – Episode 01 \| Hosted by Nepal Cloud Professionals 📅 Date: Saturday, May 09, 2026 🕑 Time: 2:00 PM – 4:00 PM NPT (UTC+5:45) 📍 Venue: Microsoft Teams **([Click here to join the meeting](https://teams.microsoft.com/l/meetup-join/19%3ameeting_ZGQyNjM0ZjYtZjcwZS00Y2RiLWJjMjktODRhM2E0MGJjNjUz%40thread.v2/0?context=%7b%22Tid%22%3a%22942f34d1-b21c-46c1-a4e8-c79db96ed93d%22%2c%22Oid%22%3a%22f1522c8b-70ee-46af-bcab-e645a23d62df%22%7d))** (If you wish to receive occasitional community updates, do sign up at [https://forms.microsoft.com/r/q2NZr5YUhF](https://forms.microsoft.com/r/q2NZr5YUhF) Welcome to the Season of AI Series, a community-driven initiative by Nepal Cloud Professionals in collaboration with Microsoft and supporting partners. This series is dedicated to exploring the latest innovations in Microsoft AI, including Azure OpenAI, Microsoft Copilot Studio, and other cutting-edge technologies. Join us for Episode 02 as we kick off this exciting journey with expert-led sessions, hands-on demos, and networking opportunities. Whether you're a developer, IT professional, student, or AI enthusiast, this event is designed to help you learn, connect, and grow. ## 🎤 Agenda Highlights ### Session 1 – From Prototype to Production: The AI App Lifecycle in Azure AI Foundry **By Rijwan Ansari (Solutions Architect, Microsoft MVP)** 🔗 Connect on LinkedIn – [https://www.linkedin.com/in/rijwanansari/](https://www.linkedin.com/in/rijwanansari/) In this session, Rijwan will walk through the complete lifecycle of building AI-powered applications using **Azure AI Foundry**—from prototyping with prebuilt models to deploying scalable solutions in production. He will demonstrate how Azure’s integrated tools streamline development, testing, and monitoring, enabling faster innovation and enterprise-grade reliability. *** ### Session 2 – Model Context Protocol (MCP): The Key To Agentic AI **By Pasang Tamang (Solutions Architect, C# Corner MVP)** 🔗 Connect on LinkedIn – [https://www.linkedin.com/in/ptamang/](https://www.linkedin.com/in/ptamang/) In this session, Pasang will introduce the concept of **Model Context Protocol (MCP)** and its role in enabling **Agentic AI** systems. He will explain how MCP structures context for autonomous agents, allowing them to reason, adapt, and collaborate more effectively. This session is ideal for developers and researchers exploring the next frontier of intelligent systems. ## 🎙️ Want to Speak at a Future Meetup? We’re always looking for passionate speakers to share their insights and experiences. If you're interested in presenting at an upcoming session, please fill out the speaker form here: 👉 [https://forms.microsoft.com/r/cywefzeBAV](https://forms.microsoft.com/r/cywefzeBAV) Note: Speaking slots are limited and typically fill up at least 2 weeks before the event. For questions, reach out to us at 📧 [mailto:info@nepalcloudpro.org](http://mailto:info@nepalcloudpro.org/). ## 🤝 Hosting Partner • Microsoft Most Valuable Professionals (MVPs), NCP Volunteers' Leadership Board ## 🤝 Digital Partner • Makura Creations ## 🤝 Supporting Partner • Microsoft ## 🔗 Connect with Us 🌐 Website: [https://nepalcloudpro.org](https://nepalcloudpro.org/) 👍 Facebook: [https://www.facebook.com/NepalCloudPro](https://www.facebook.com/NepalCloudPro) 💼 LinkedIn: [https://www.linkedin.com/company/NepalCloudPro](https://www.linkedin.com/company/NepalCloudPro) 🐦 X: [x.com/NepalCloudP](http://x.com/NepalCloudP) 📧 Email: [mailto:info@nepalcloudpro.org](http://mailto:info@nepalcloudpro.org/) ## 📣 Social Hashtags #NepalCloudPro #ArtificialIntelligence #AI #MicrosoftAI #AzureAI ## 👥 About Nepal Cloud Professionals Nepal Cloud Professionals is a vibrant community of IT professionals, developers, solution architects, and tech enthusiasts passionate about cloud computing and emerging technologies. We host regular meetups, discussions, and mentorship opportunities to foster learning and collaboration. Whether you're just starting out or are a seasoned expert, we welcome you to be part of our growing community.

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

**Total Eclipse of the Chart: School Redistricting Dashboards** In this presentation, we will explore the utilization of maps, sets, and SQL within a Tableau dashboard to help provide “what-if” analyses generated through the use of a mapped dashboard, providing different scenarios and the potential implications of these. While in this use case we are focused on a large school district, the concepts of utilizing existing data to explore the future impacts of modifying different geographic boundaries can be useful to many industries, balancing the mix of maps with visual analytics. **About Our Speaker** Robert Kramer is the Data Systems and State Reporting Coordinator at South Western City Schools in Grove City. He has worked there for 17 years, serving previously in the roles of Data Analyst, Programmer, and Operations Coordinator. Prior to working at South Western, he worked as a Systems Engineer at Pinnacle Data Systems in Groveport. He graduated in 2005 from The University of Toledo with his Bachelor’s in Computer Science and Engineering, and a minor in Mathematics. Robert resides in Obetz with his wife, and their 15 and 12 year-old daughters. He was also just elected to his 3rd four-year term on the Obetz City Council. 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)

We will show how to build custom agents with Microsoft Agent Framework. Attendees will learn how to build and custom host agents when Microsoft Foundry is not a viable option.

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.

Join the Columbus AI community for our quarterly gathering — a casual, community-focused evening where everyone has a chance to share, learn, and connect. These open mic–style events give anyone in the community up to **5 minutes** to present a project, share a tool, pose a question, or offer a perspective on the evolving AI space. No slides required — just a welcoming space to exchange ideas and keep the local AI conversation moving. If you’d like to take the stage, message \*\*Chris (the organizer)\*\*with a **title and short description** of what you’d like to share. Whether you’re deep in the field or just getting curious, come connect with others building and exploring AI in Columbus. Sponsored by [Transform Labs](https://www.linkedin.com/company/transformlabs/) Sign up also accessible via [Transform Labs Luma](https://luma.com/transformlabshq)

Christians 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)

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?