Data Community DC, Inc., is an organization committed to promoting data and statistical sciences in the Washington Metropolitan Area by fostering education, opportunity and professional development through high-quality, community-driven events, content, resources, products and services.
External link for Data Community DC, Inc.
Washington, DC 20024, US
Thanks to Arlington Economic Development and Ballston BID for making educational meetup events like this possible through their sponsorship and partnership!
I’m looking forward to tomorrow’s Data Visualization with AI workshop with Ballston BID! I’ll be teaching people techniques for using AI to make charts, graphs, and infographics, as well as covering limitations and pitfalls of the technology.
Data Community DC, Inc. reposted this
I make clothes. The hardest question is always what to make next. By the time a trend shows up in sales data, it is already peaking. The people who set trends talk about them years earlier, in public, for free. Example: baggy overtook tight in Reddit fashion chatter in 2019. Today baggy holds 72% of the conversation. Most of the industry retooled years after the flip. So I built a trend detector, and the origin story is one meetup. Data Engineers DC: DuckDB and Quack as a Postgres Replacement, moderated by 📈 William Angel and Jabari Grubb, organized by Data Community DC, Inc. , hosted at Prefect's DC office. I walked in with no experience using DuckDB. I went home and pointed it at the 1.1 TB Reddit archive on Hugging Face. 12.1 billion items scanned in place. 67.5 million fashion comments, 158 straight months, one SQL pass, one laptop. Now Nyce Days has a data source for which silhouettes and trends to watch. Slide 4 of the carousel is the fastest-rising cuts that are still early, led by barrel-leg jeans at x12.3. To be clear about what this is: a signal detector for shifts in the fashion market. It will never replace taste, studying fashion history, or the tastemakers who create the shifts. My favorite collection of all time is Alexander McQueen Spring 1998, and no query will ever produce that craft or attention to detail. Where the data earns its place: choosing pieces that will move quickly instead of mass-producing into a fading trend, and knowing which basics belong in a capsule. If you make or buy clothing: what signal decides your next production run? #DuckDB #DataEngineering
Mary Gibbs gave a great talk on AI & LLM evals last night at Prefect !
We often get so caught up in perfecting models and tools that we forget to ask the most important question: Does this actually solve the user's problem? Mary Gibbs delivered a fantastic talk on evaluations that pushed far past the surface level. Instead of just focusing on technical mechanics, she presented a framework for baking evaluations directly into the development process. Her approach highlights two critical benefits: - Catching issues early: Identifying gaps before they become costly fixes. - Long-term maintenance: Ensuring applications remain effective and reliable over time. It was a great reminder that technical excellence doesn't matter if the application doesn't serve the person using it.
How do you know that your AI systems are working and that your models are getting better? Mary Gibbs will tell you how on May 26th at Prefect!
This is a great title and a topic that I definitely need! Join us next Tuesday at Prefect in Foggy Bottom. Mary Gibbs 📈 William Angel Jeff Hale Link: https://luma.com/27ja5gwl
Data Community DC, Inc. reposted this
Last night I had the pleasure of attending Data Viz DC's meetup on Generative User Interfaces with Prefab and it was a great reminder of why I'm so passionate about the intersection of data and decision-making. Two talks really stood out: 1. The Prefab demo showed how AI can generate reactive, streaming UIs on the fly, interactive dashboards, FastMCP apps, and generative interfaces that adapt in real time. ( Still have a lot to learn here to confidently share about it). 2. Aaron Schumacher's talk on "Pavement Plots" challenged us to rethink the histogram and boxplot, drawing on the classic critique that these are a poor method for comparing groups especially where there are significant number of outliers. A good reminder that chart choice isn't cosmetic; it shapes how well people understand the data. This is what excites me most about data visualization: it's never just about the charts. The real value is in helping businesses ask better questions and make better decisions from their data. A beautiful dashboard that no one acts on is just wallpaper. Grateful to the DVDC organizers Will, Joy, Alex, and Jamahl for building such a thoughtful community here in DC. It was a pleasure to meet you 📈 William Angel , San Winter , Wayne Grigsby and Alexander Chen . #DataVisualization #DataVizDC #GenerativeUI #DataDriven #BusinessIntelligence #DataCommunity
Data Community DC, Inc. reposted this
Presenting at Data Engineering DC tomorrow. Honestly still a little surprised I get to say that. Spicy Regs started as a volunteer civic tech project to make federal regulatory data actually usable. Millions of public comments, queryable in your browser, no database, no login, no cost. Just a scrappy open source build that somehow keeps working. Tomorrow I'll talk through how -- Parquet, DuckDB, Cloudflare R2, and everything that broke along the way. Free event in DC: https://luma.com/54v22f2n Hope to see you there. #DataEngineering #CivicTech #OpenSource #DuckDB #WashingtonDC
🚀 DC’s Largest AI Hackathon is Here! It has been so inspiring to see the DC tech community coming together like this. I’m genuinely honored to help host what’s shaping up to be our city's largest AI hackathon yet—the talent and curiosity coming from local builders and students is exactly why we started this. We are very close to capacity, so if you’re planning to build the next generation of agentic workflows or venture-scale AI products, now is the time to secure your spot. 💰 $5,000 in Cash Prizes We aren’t just looking for "cool demos." We are looking for production-grade innovation. Our judging criteria are rigorous, focusing on: 🎨 Product Quality: UX and user-centric design. 🏗️ Technical Execution: Robustness and architectural integrity. ✨ Use of AI: Innovative application of LLMs/ML. 🚀 Venture-Scale Potential: Can this scale into a real-world business? As I spend more time deep-diving into Cloud Platform Evaluations and the science of AI Evals, I’m particularly excited to see how teams handle model reliability and performance at scale. Building a prototype is easy; building a system that stands up to rigorous evaluation is where the real challenge lies. Don’t miss out—register below before we hit the ceiling: https://luma.com/bmabw4qr See you there, builders! George Zoto Truc Phan David Patton Robert Kraig Jeff Hale 📈 William Angel Deep Learning Adventures Data Community DC, Inc. Transpose Platform #AIDev #GenerativeAI #DCCoding #LLMOps #CloudComputing #AIHackathon #DeepLearningAdventures #GoogleCloud #TechLeadership
George Zoto is organizing an AI for Goverment Hackathon. With prizes!!
AI in Government Hackathon on April 24th! https://luma.com/bmabw4qr
Data Community DC, Inc. reposted this
The AI community in the DMV is thriving, but it’s often difficult to find a single source for what’s actually happening across the area. I’ve spent the last year and a half deeply embedded in this ecosystem. Because I'm often asked which events to attend or where the latest hackathons are, I decided to build a "Front Porch" to centralize everything: aihub-dmv.com This is a curated selection. Everything listed comes from organizations or organizers I’ve worked with and can personally vouch for. I’ll be maintaining the site to highlight high-signal events happening about 1–2 weeks out. Organizers: If I’ve worked with you, if you have a cool open-source project, or if you’re planning a hackathon, I’d love to include your work. Attendees: If you’re looking to get more involved with these organizations, please reach out via the methods on the website it helps me keep track of everything in one place! Looking forward to seeing you all at the next one. And more additions to the website soon!
Hands on Hackathon on April 24th!
Deep Learning Adventures and the larger Data Community DC, Inc. are thrilled to collaborate with www.compiled.sh by Transpose Platform and co-organize the largest AI hackathon event in DC so far! We are excited to collaborate with Truc Phan as well as Jeff Hale and 📈 William Angel to make this large scale effort a reality. If you are an AI enthusiast, builder, product manager, UI/UX designer, student or simply enjoy using AI tools effectively, this event is made for you! We are looking for talented individuals and teams to showcase their skills and build awesome products during our hackathon event. There are significant monetary ($5K+) and swag prizes for you as well as direct feedback from selected Y Combinator startups. Join us today!!! https://luma.com/bmabw4qr If you have any questions feel free to reach out directly! Thank you, George Zoto, Truc Phan, Deep Learning Adventures and Data Community DC, Inc. #community #builders #product #ai #hackathon #prizes #swag #team #event