Secure your spot now! The Government Data Science & AI Conference is Oct 28–29 in DC + online, w/ workshops Oct 27. Connect w/ leaders in policy, defense, healthcare & more exploring the future of #GovAI & #DataScience. 🎟️ & info: dataconf.ai/gov

The future of AI in government starts here! 🤩 The Government Data Science & AI Conference is happening Oct 28–29 in Washington, D.C. + online, w/ workshops Oct 27 (TBA). 🎟️ Register today: dataconf.ai/gov #DataScience #AIinGovernment

Tickets are on sale 🥳 Join us Oct 28–29 in DC + virtual (workshops Oct 27) for The Government Data Science & AI Conference. Policymakers, technologists & data pros will explore AI’s impact on the public sector! 🎟️ Tix & more info: dataconf.ai/gov #GovAI #DataScience

🧠📊 3 days. 2 workshops. 20 talks. 1 amazing community. #dataconfAI is officially wrapped! Thanks for showing up with insights, ideas, inspiration, and curiosity. And to all who made it unforgettable—speakers, attendees, sponsors, and volunteers. See you at the next one! 🚀

Behind every great conference is a team of great sponsors. Thank you for backing the ideas 💡, energy ⚡, and people 🧑‍🤝‍🧑 of #dataconfAI - 2 days of learning 📚, connecting 🤝, and inspiring ✨ wouldn’t happen without you. #AI #DataScience #RStats #LLMs

📊 Last two talks! Chiraag Kala (Airbnb) explained why A/B tests must evolve for team-based platforms—capturing collaboration & spillover effects. Kelsey McDonald (NY Yankees) followed with how R helps forecast attendance & rank opponents by impact. ⚾📈 #dataconfAI #rstats #AI

📸 The best part of The New York Data Science & AI Conference? The people. From hallway chats to coffee-fueled brainstorms, the energy at #dataconfAI is unmatched. Swipe through some networking moments in action! 🤝☕✨

🧠 What’s going on inside our models? Andrew Gelman (Columbia) shared Bayesian tools for probing fitted models—R², influence plots and sensitivity analysis. Max Kuhn (Posit) showed how to statistically measure LLM performance with simpler, broader methods.📊 #dataconfAI #Rstats

⚙️ AI agents aren’t just helping—they’re leading. Jay Sen & Vikas Sawhney (Microsoft) showed how Agentic AI is transforming enterprise ops 🤖📈. Karen Moon (Spangle AI) shared how teams are scaling faster than ever with copilots ✨ and org design hacks 🧩. #dataconfAI #AI

Efficiency + empowerment! 💡 Ben Lerner (Espresso AI) revealed how ML can make data warehouses faster and cheaper, followed by Rick Saporta (OSiLLiA) sharing 🔑 insights on how to thrive + lead in a fast-changing data career. #dataconfAI #DataScience #AI #machine_learning

Ever faced a mountain of docs? 📚 Andrew Wallender (Bloomberg IG) showed how open-source embeddings can uncover themes+semantic meaning. Then Abigail Haddad built on that with practical LLM workflows for processing entire document collections. #dataconfAI #LLMs #DataScience #AI

☀️📊 Day 2 of The New York Data Science & AI Conference kicks off now! More cutting-edge talks, more networking, more chances to shape the future of data & AI together. Let’s go, NYC! 🚀🤖💡 #dataconfAI #AI #DataScience #RStats #LLMs #machine_learning

That’s a wrap on Day 1 of #dataconfAI! From NFL sims & AI-powered dashboards to NYC traffic data & hospital analytics, today was packed with insight + impact. Big thanks to all our speakers & attendees—see you tomorrow for more! 💡📊 #DataScience #AI

Huge thanks to our amazing sponsors for powering The New York Data Science & AI Conference 🙌 Your support helps bring the data science & AI community together to learn, connect, and innovate. We couldn’t do it without you! 💙 #dataconfAI #AI #DataScience

The food at The New York Data Science & AI Conference was amazing! Special shoutout to Sweet Francesca for the incredible desserts🍰 & Joe Coffee for keeping us caffeinated with barista-crafted drinks all day long☕. Data’s better with good coffee and great treats! #dataconfAI

📊🏥 Policy+Healthcare! Gayan Seneviratna (MTA) showed how to use toll data to understand effects of NYC’s congestion pricing. Xilin Chen (Michigan Med) shared how Quarto+real-time EHR data help hospitals reduce unnecessary cesareans. #dataconfAI #AI #DataScience #RStats

🧠 Deep learning in healthcare and 🧹 data cleaning in R! Jon Sege & Vincent Pan (White Plains Hospital) demoed EMR-powered patient care optimization, while Erin Grand (TRAILS) gave practical tips to tackle duplicate data. #dataconfAI #dataBS #RStats