Data Architecture

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 :)

This training is designed for real estate agents who want to learn how to play the Agent Investor game. The goal of this training is to help you flip your income into ownership. ━━━━━━━━━━━━━━━━━ **Traditional buyers transact once every 7–10 years. Investors transact 3–10 times a year.** If you want predictable income, consistent deal flow, and a long-term wealth ecosystem, you don’t need more leads—you need a better list: a database of committed investors who buy repeatedly. The Investor Goldmine teaches you how to build, grow, and activate an investor database that becomes your most valuable asset in real estate. Instead of competing for one-time transactions, you position yourself as the Agent Investor—someone who understands strategy, leverage, and wealth building. In this session, you’ll learn the proven systems to build your investor list from scratch, including: * Where to network to meet real investors already buying * A simple “one lunch a week” strategy to build relationships fast * How to use giving and social currency to become the trusted connector * How absentee owners and business owners can become your best investor pipeline * Why community accelerates database growth—even if you don’t run one You’ll also get a clear activation plan to start growing and converting your investor database immediately. Because the model is simple: Build the list. Call the list. Market to the list. And your income becomes repeatable. ━━━━━━━━━━━━━━━━━ **Did you miss it?** [Watch all GRID Reston event playback on YouTube](https://www.youtube.com/playlist?list=PLOTh5kxLLJI1G3VH6Pqhlhu0uTA8yrdpi) ━━━━━━━━━━━━━━━━━ **Join the GRID Facebook Community** [Join the online GRID community here](https://www.facebook.com/groups/gridinvestor) to post deals, ask questions, and connect with other investors across the globe.

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.

**DC Service Jam is back.** This March, SD:DC is hosting the DC edition of Global Service Jam 2026 week. We are part of a worldwide movement of designers, strategists, and curious minds who come together to build real service concepts from scratch. From **Saturday March 14 to Sunday March 15**, you'll work in a small team around a secret theme revealed at kick-off. No briefs, no client. Just hands-on design, rapid prototyping, and plenty of Post-its. This year we're bringing AI into the mix. Throughout the weekend we'll look at how AI tools can support service design work, as a sensemaking tool, to build artifacts faster, and to push prototypes further. **WHAT TO EXPECT** **Saturday March 14th** * **9 - 10am:** social / breakfast (theme reveal + team formation) * **10am - 6pm:** full day of research, ideation, and prototyping (meals provided) * **6:30pm (optional):** social / happy hour (nearby bar) **Sunday March 15th** * **9 - 10am:** social / breakfast * **10am - 12pm:** finalize prototyping & storytelling * **12pm - 2pm:** present your work and share what DC made with the world **WHO SHOULD COME** You don't need to be a service designer. If you're a UX or product designer, strategist, public servant, researcher, or just someone curious about how services actually work, you're welcome here. **LOGISTICS** * **Dates:** Saturday March 14th & Sunday 15th (ending at 2pm) * **Venue:** SteamPunk, McLean, VA * **Capacity:** 50 spots only (first come, first served) * **Attendee fee:** $60\* (covers meals, materials, and space) *\* If the fee is a barrier for you, we have a limited number of discounted tickets available, just reach out to Sergio Venegas directly for a code.* **WHAT TO BRING** ✔️ An open mind and a willingness to make things ✔️ Laptop and charger ✔️ Curiosity about Service Design (no experience needed) **Follow SD:DC on LinkedIn and @DCServiceJam on Instagram for updates!** \*\*\* Many thanks to our host and sponsor, **SteamPunk** *Design. Disrupt, Repeat. Steampunk is anchored by a startup culture with a customer-centered delivery approach. We put our Federal government clients in the center of everything we design, develop, and deliver to drive high quality mission impacts and user experiences at speed.*

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!

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.