Data Mining

**Agenda :** * 4.45 to 5.00 PM ET: Food and Networking * 5.00 to 5.50 PM ET: "Data Science & Machine Learning with Microsoft Fabric" Hello Everyone! Please join us for our March 12th edition of the AI-ML MeetUp. **Please note this is an in-person meeting and light refreshments/food will be provided. You will need a government-issued ID to enter the facility.** **Title:** Data Science & Machine Learning with Microsoft Fabric **Description:** Explore Microsoft Fabric’s integrated Data Science experience across ideation, preprocessing, modeling, & deployment. Learn how to ingest and prepare data via OneLake and Lakehouse, leverage Notebooks, Data Wrangler, Spark, SynapseML, MLflow for experimentation, & operationalize predictions with batch scoring and Power BI direct integration. Also, learn to build generative AI Q&A systems using Fabric Data Agents. **Location:** The meeting will be hosted in the Applied Information Sciences ( AIS ) office in Reston, at 11440 Commerce Park Dr # 600 · Reston, VA. The location is also right off the Silver Line metro's Wiehle-Reston Metro Station. **Parking:** Parking is paid and can be validated at the AIS office reception. We will meet in Room Lake Anne. We hope to see you all there!!!!

**Agenda:** * 6-6:30 pm: Networking and food/drinks * 6:30-7:15 pm: Announcements and presentation * 7:15 pm-7:30 pm: Q&A and close-out **Hacking the Stack: Using OpenSearch Dashboards as an Application Framework** Most developers treat OpenSearch Dashboards (OSD) strictly as a visualization layer—a place for charts and graphs. They are missing the bigger picture. OSD is a powerful, untapped environment for full-stack application development. In this session, we peel back the architecture of **an enterprise-grade risk, compliance, and security platform built entirely *on top of* OSD**. We moved beyond simple plugins and pushed OSD to its limits to create a seamless, interactive application experience. Join us for a deep dive into the engineering reality of the OpenSearch stack, including: * **The Analysis:** Why the OpenSearch stack beat out the competition. * **The Build,** **Beyond Visualization:** How to implement custom React components to build complex workflows and interactive UIs within OSD. * **The Integrations:** Integrating Wazuh for agent management and ingesting data at scale. * **The “Gotchas”:** Honest, real-world lessons on data handling, state management, and what to look out for. **If you are ready to push your plugins from “reporting tools” to “robust software,” do not miss this session!**

**Agenda :** * 4.45 to 5.00 PM ET: Food and Networking * 5.00 to 5.50 PM ET: "Data Science & Machine Learning with Microsoft Fabric" Hello Everyone! Please join us for our March 12th edition of the AI-ML MeetUp. **Please note this is an in-person meeting and light refreshments/food will be provided. You will need a government-issued ID to enter the facility.** **Title:** Data Science & Machine Learning with Microsoft Fabric **Description:** Explore Microsoft Fabric’s integrated Data Science experience across ideation, preprocessing, modeling, & deployment. Learn how to ingest and prepare data via OneLake and Lakehouse, leverage Notebooks, Data Wrangler, Spark, SynapseML, MLflow for experimentation, & operationalize predictions with batch scoring and Power BI direct integration. Also, learn to build generative AI Q&A systems using Fabric Data Agents. **Location:** The meeting will be hosted in the Applied Information Sciences ( AIS ) office in Reston, at 11440 Commerce Park Dr # 600 · Reston, VA. The location is also right off the Silver Line metro's Wiehle-Reston Metro Station. **Parking:** Parking is paid and can be validated at the AIS office reception. We will meet in Room Lake Anne. We hope to see you all there!!!!

We will be meeting at Starbucks to learn together. Come with an online class you're already going through or an interest and we will try to connect you with a course where you can learn it. Already have a skill you want to contribute to a Kaggle Datascience competition? We will work on these too! Laptop required :)

Most AI meetups end up as just networking. **We’re different.** At **AI Tool Explorers Night \| Connect & Make New Friends**, you’ll: ✨ Walk away with a *real learning nugget* (a tool, workflow, or strategy you can use immediately) ✨ Connect with people who share your curiosity for AI, productivity, and automation ✨ Enjoy a fun, casual setting where new ideas and friendships spark naturally 👉 **Our promise:** every session delivers structure, substance, and takeaways you can use when you get home. ### 📅 Event Flow * **6:00–6:15 PM** → Arrivals & intros * **6:15–6:45 PM** → AI demo / learning nugget * **6:45–7:00 PM** → Q&A and group discussion * **7:00–8:00 PM** → Networking & contact sharing ⚡ Please hold networking until after the presentation so we can all learn together. Plenty of time at the end to connect and exchange cards! **Let's explore AI Tools that actually *work* in our day-to-day life!** *** #ChatGPT #Claude #Grok #Gemini #Perplexity #DeepSeek #NotebookLM #Cursor #GitHubCopilot #Replit #Windsurf #v0dev #Lovable #Zapier #Makecom #n8n #Descript #OpusClip #Synthesia #Runway #Sora #Kling #Veo #PikaLabs #LTXStudio #AdobeFirefly #Vidu #Hailuo #LumaDreamMachine #Wisecut #Elaiio #Capsule #Filmora #Gling #Magisto #AdobePremierePro #ElevenLabs #Suno #Udio #Soundraw #Riffusion #Mubert #BeatovenAI #AIVA #Loudly #SplashPro #Soundful #MagentaStudio #WavTool #MakeBestMusic #BandLabSongStarter #TadAI #EcrettMusic #Midjourney #DALLE3 #CanvaMagicStudio #NotionAI #Gamma #Fathom #FirefliesAI #MLX

Join us for an evening of great conversations, new connections, and insights at the Data & AI Social Club! This relaxed networking event brings together professionals, enthusiasts, and curious minds from the worlds of data and more!

Leads come in, but they don’t move. Prospects engage, but they don’t convert. Customers join, but they don’t stay. And most teams are guessing where the breakdown actually is. At this DC Marketing Tech Talks event, Geoff Livingston will walk you through a practical, end-to-end AI workflow designed to help you identify and fix the gaps in your customer journey. This session is about using AI to analyze how buyers are actually moving through your funnel, uncover where engagement drops off, and turn that insight into measurable improvements. You’ll learn how to: * Map your real customer journey * Identify friction points across your lead funnel * Use AI to analyze messy marketing data in a structured way. Geoff will show you how to turn disconnected touchpoints into a clear picture of behavior, how to surface usable insights, and how to feed those insights back into your campaigns to improve performance. This session will give you a detailed playbook. You will see the specific tools, the specific processes, and the step-by-step structure to implement this workflow inside your own organization. From auditing your journey to identifying measurable gaps, to prioritizing the highest-impact fixes, to building a repeatable optimization loop, you will walk away knowing exactly how to execute this approach from start to finish.