Automated Data Science

**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 :)

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 :)

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.

AI agents are quickly moving from buzzword to workplace reality. These systems can research, write, analyze data, interact with software, and even coordinate other tools — tasks that were traditionally performed by knowledge workers. But what exactly is an AI agent, and why is it becoming so important? This session breaks down how AI agents actually work in plain language. We will explore the components that make an agent “agentic,” how they plan and execute tasks, and how organizations are beginning to use them to augment teams and automate complex workflows. More importantly, we will discuss what this shift means for professionals, managers, and entrepreneurs: how roles are changing, why directing intelligent systems is becoming a core skill, and how individuals can use AI agents to increase their impact or even build new businesses. Attendees will leave with a clear mental model of AI agents, practical examples of real-world use, and an understanding of how to prepare for a future where humans increasingly work alongside — and supervise — intelligent digital workers.

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 another session of our study group as we continue our coverage of the book Domain-Specific Small Language Models. In this session, we will attempt to cover Chapters 5 on "Exploring ONNX" and Chapter 6, on "Quantizing for your Production Environment". This isn't just a lecture! Come ready to ask questions, share insights, and code along. Whether you're a beginner or have some experience, this is the perfect opportunity to continue to learn together. If you plan to work with the code on your own laptop during the session, try and download the code from here https://github.com/virtualramblas/Domain-Specific-Small-Language-Models ahead of time.