Watch this clip from Chiraag Kala of Airbnb explaining why classic A/B testing fails when users collaborate and how network-based experimentation leads to better insights. Catch the full talk here: youtu.be/O4wrB6Z5i1Q #DataScience #Experimentation #DataBS

Karen Moon from Spangle AI shares how AI copilots and agents are reshaping team structures and leadership in startups. Here’s a clip from her session! See the full talk here: youtu.be/qD2YnQ-cn_c #AI #Innovation #DataBS

Here’s a clip from Max Kuhn (@topepo.bsky.social) of Posit breaking down how we can truly quantify LLM performance using a clear, generalizable framework. See the full conference talk here: youtu.be/TQKbaIR-8J4 #AI #MachineLearning #DataBS

Andrew Gelman of Columbia University walks through how Bayesian tools reveal what your fitted models are actually saying about your data. Here’s a short clip & watch the full keynote talk here: youtu.be/aNjUIP1p1HM #Bayesianash #Statistics #DataBS

Abigail Haddad walks through a hands-on workflow for processing document collections with LLMs, from messy input to automated results. Here’s a clip & watch the full conference talk here: youtu.be/Lja1rK-fr6w #LLMs #DataScience #DataBS

Jay Sen & Vikas Sawhney from Microsoft explain how enterprises evolve from automation to intelligent, agentic systems. Here’s a clip from their talk and watch the full video here: youtu.be/S8_J-nIdBcQ #EnterpriseAI #AgenticAI #datbs

Rick Saporta from OSiLLiA talks about what the future of data work looks like and how to take ownership of your career growth in a changing industry. Here’s a clip! Watch the full talk here: youtu.be/KSNvgAaxTbs #DataCareers #Analytics #databs

Ben Lerner from Espresso AI dives into how machine learning can reduce data warehouse costs by optimizing job scheduling and queries. Check out this clip and see the full talk here: youtu.be/RNziL3scSk8 #ML #DataEngineering #databs

Xilin Chen from Michigan Medicine explains how her team uses Quarto to create flexible, data-driven hospital reports that improve maternal care during her conference talk. Here’s a clip & see the full talk here: youtu.be/vmyHLkO6Cz4 #RStats #HealthcareData #databs

Andrew Wallender from Bloomberg Industry Group shares how open-source text embeddings can power advanced text analysis, without the high cost of LLMs. Here's the clip! Watch the full talk here: youtu.be/40WuXmK5MzY #NLP #OpenSource #databs

Here’s a clip of Gayan Seneviratna from the MTA sharing what the first seven months of congestion pricing data tell us about traffic, emissions, and city life. Watch the full conference talk here: youtu.be/bgkNz0kpWCc #DataStorytelling #UrbanAnalytics #databs

Erin Grand from TRAILS to Wellness shares practical ways to identify and remove duplicate data using R’s {{janitor}} package. Here’s a clip! See the full talk here: youtu.be/Cx-UxNCONaE #RStats #DataCleaning #databs

Jon Sege & Vincent Pan from White Plains Hospital share how they built neural networks that predict medical follow-ups and optimize patient care. Here’s a clip & watch the full talk here: youtu.be/7unhUK-7K7U #DeepLearning #HealthcareAI #databs

Swaptik Chowdhury from RAND Corporation shares a framework for describing AGI futures using six key dimensions, helping policymakers better align on AI strategy. Here’s a clip! Watch the full conference talk here: youtu.be/N0pCoPlS20g #AGI #AIpolicy #databs

Here’s a clip of @jaredlander.com from @landeranalytics.com sharing what he discovered using coding agents to build a complex Kubernetes app and how it changed how he codes. See the full talk here: youtu.be/Efj1P4pBLBY #AICoding #DataScience #databs

Princess Onyiri from Bloomberg Law walks through how the Bloomberg Law–Fenwick SV150 list comes together, navigating messy data and ranking complexities. Here's the clip! See the full conference talk here: youtu.be/zwkspVzbIEU #DataAnalysis #LawTech #databs

Daniel Chen from the University of British Columbia shows how to integrate LLMs into dashboards using Ellmer and Chatlas for R + Python. Here’s a clip! See the full conference talk here: youtu.be/ESUvuemGmPQ #LLMs #DataViz #databs @chendaniely.bsky.social

Bill Gold from Citizens Bank breaks down how to evaluate LLMs effectively, balancing benchmarks, human feedback, and real-world use cases. Here’s a clip! 📽️ Watch the full conference talk here: youtu.be/x87jPznuddo #GenAI #LLMevaluation #databs

Here’s a clip from Ally Blake at NFL showing how simulated games can generate new data and evaluate how potential rule changes might affect gameplay. See the full conference talk here: youtu.be/SpjFVoaFg_4 #SportsAnalytics #Simulation #databs

🎉 Tickets are now available! The Government Data Science & AI Conference Presented by Lander Analytics happening Oct 28–29 in Washington, D.C., w/ workshops Oct 27. Join leaders shaping the future of data, AI & innovation in the public sector! 🎟️ More info & tickets: dataconf.ai/gov #databs

🧠📊 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. #dataBS #AI

📊 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 #dataBS

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

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

Ever faced a mountain of docs? 📚 Andrew Wallender (Bloomberg IG) showed how free, 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 #dataBS

☀️📊 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 #dataBS

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 #dataBS