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

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 #dataBS

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. Smart tools, real-world change! #dataconfAI #DataScience #dataBS

🧠 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

📊🤖 Data + policy in focus! Daniel Chen (UBC) demoed AI-powered dashboards built on LLM strengths. After lunch, Swaptik Chowdhury (RAND) mapped out a 🗂️ framework for discussing AGI futures—clarifying assumptions & sparking better dialogue. #dataconfAI #AI #DataScience #dataBS #RStats #LLMs

📊 From LLM evaluations to vibe coding! Bill Gold (Citizens Bank) showed how to turn GenAI hype into measurable value with smarter evaluation. Then our very own Jared Lander (@landeranalytics.com) revealed lessons from coding with AI on complex projects. #AI #DataScience #dataBS #dataconfAI #LLMs

✅ First two talks done! 🎤📊✨ Ally Blake (NFL) showed how simulating an NFL game can reveal the impact of rule changes, followed by Princess Onyiri (Bloomberg Law) walking us through the data powering the SV150 list. #dataconfAI #AI #DataScience #dataBS

Good morning from NYC! 🚀 We’re kicking off Day 1 of the New York Data Science & AI Conference—bringing together leaders in tech, healthcare, finance, sports & more for two days of insight, innovation & connection. #AI #DataScience #dataconfAI

A full day of learning is underway at The New York Data Science & AI Conference with hands-on workshops: 📊 Machine Learning in R w/ Max Kuhn 🤖 Intro to LLMs & AI w/ Daniel Chen Can’t wait to welcome everyone tomorrow for the main event! #rstats #AI @topepo.bsky.social @chendaniely.bsky.social

⏳ It’s almost here! The NY Data Science & AI Conference kicks off next week, Aug 26–27 in NYC + online, with workshops on Aug 25. Join us for two days of inspiring talks, hands-on learning & networking. 🎟️ It's not too late to register for your ticket at dataconf.ai/nyc! #AI #DataScience #dataBS

🔮 Data careers are changing fast. Rick Saporta (OSiLLiA) explores which skills matter most, how to grow as a leader, and how to future-proof your career in data! 📍 See him at The New York Data Science & AI Conference | Aug 26–27 in NYC & online 🎟️ dataconf.ai/nyc #FutureOfWork #DataCareers #dataBS

🚀 Karen Moon (Spangle AI) explores how AI is enabling lean teams to work smarter, faster & more effectively. Discover her evolving playbook at The New York Data Science & AI Conference, Aug 26–27 in NYC & online! 🎟️ Secure your spot before it's too late: dataconf.ai/nyc #AI #FutureOfWork #dataBS

Kelsey McDonald (New York Yankees) reveals how they tier teams and predict attendance using R. A data-driven look into baseball strategy! ⚾ 📍 Join us at The NY Data Science & AI Conference Aug 26–27 in NYC or online 🎟️ Learn more & register at dataconf.ai/nyc #RStats #SportsAnalytics #dataBS

AGI futures need clearer language. Swaptik Chowdhury (RAND) shares a new framework to discuss risks, scenarios & policy at The New York Data Science & AI Conference! 🗽 Aug 26–27 in NYC & online 🎟️ To register & for more info: dataconf.ai/nyc #AI #AGI #Governance #dataBS

EMRs to action: Jon Sege & Vincent Pan (White Plains Hospital) share how deep learning optimizes patient care pathways. 🧠 See them at The NY Data Science & AI Conference, Aug 26–27 in NYC & online! 🎟️Secure your spot before it's too late: dataconf.ai/nyc #AIinHealthcare #DeepLearning #dataBS

Just ☝️ week until The NY Data Science & AI Conference! 🎉 Aug 26–27 in NYC + online (workshops Aug 25)! 🎤 Talks from Columbia, NFL, Espresso AI, Microsoft & more, plus ML in R + AI hands-on workshops. 🎟️ Secure your spot & learn more at dataconf.ai/nyc #AI #DataScience #Workshops #DataBS

Start off The NY Data Science & AI Conference w/ hands-on workshops on Aug 25 in NYC or online: 📊 Machine Learning in R w/ Max Kuhn 🤖 Intro to LLMs/AI w/ Daniel Chen 🎟️ Learn more & register at dataconf.ai/nyc #RStats #AI #Workshops #databs @topepo.bsky.social @chendaniely.bsky.social

Max Kuhn (Posit) presents a simpler, more flexible way to measure LLM effectiveness across diverse use cases, cutting through the complexity of current approaches. 📊 📍The NY Data Science & AI Conference, Aug 26–27 🎟️ & info: dataconf.ai/nyc #MachineLearning #LLMs #AI #dataBS @topepo.bsky.social

Dirty data? Erin Grand (TRAILS) shares how to identify & remove duplicates with R, & how to avoid them in the first place. Hear her talk at The New York Data Science & AI Conference! 📅 Aug 26–27 w/ workshops on Aug 25 | NYC & virtual 🎟️ Grab your tix: dataconf.ai/nyc #DataCleaning #RStats #dataBS

From automation to proactive AI agents, Jay Sen & Vikas Sawhney (Microsoft) share how Agentic AI is transforming enterprises, boosting productivity & unlocking new business value. 🔓 📍 The New York Data Science & AI Conference | Aug 26–27 🎟️ More info & tix: dataconf.ai/nyc #AI #AgenticAI #Databs

How do you A/B test when users work in networks? Chiraag Kala (Airbnb) shares a better way to measure impact among connected teams. Hear the talk at The NY Data Science & AI Conference! 📅 Join us in NYC or online Aug 26–27 🎟️ Info & tix: dataconf.ai/nyc #ExperimentDesign #DataScience #dataBS

Ben Lerner (Espresso AI) shows how to use ML to slash your Snowflake bill, via smarter job scheduling & incremental queries. If you're working with large data pipelines, you need this talk. 📍The NY Data Science & AI Conference | Aug 26–27 🎟️ dataconf.ai/nyc #AI #BigData #DataEngineering #dataBS

Abigail Haddad shares a complete workflow for using LLMs to process doc collections like resumes, complaints, logs & more. Hear it at The New York Data Science & AI Conference happening Aug 26–27, w/ workshops on Aug 25! 🗽 🎟️ More details & tickets: dataconf.ai/nyc #LLMs #AIWorkflow #dataBS

Just 2 weeks until The New York Data Science & AI Conference! 🗽 It's happening Aug 26–27 w/ workshops on Aug 25 in NYC & online. 🤩 Talks from Columbia, NY Yankees, Bloomberg, Arbor & more! 🎟️ Visit dataconf.ai/nyc for more info & to register! #DataScience #AI #MachineLearning #Workshops #dataBS

Overwhelmed by text data? Andrew Wallender (Bloomberg Industry Group) shows how to extract insights using free text embeddings. Smarter NLP, no LLM required! 🎤 Hear his talk at The NY Data Science & AI Conference | Aug 26–27 🎟️ Tix & info at dataconf.ai/nyc #OpenSource #NLP #TextMining #dataBS

🏥 Xilin Chen shares how Quarto + R are used to create dynamic hospital reports that help lower unnecessary C-sections at The New York Data Science & AI Conference! 📍Catch her talk Aug 26–27 in NYC or online 🎟️Tix & more info: dataconf.ai/nyc #HealthcareAnalytics #RStats #dataBS

Gayan Seneviratna (MTA) reveals how NYC’s congestion pricing roll-out is performing using data storytelling, Airflow & analytics.🚇 📍Join us on Aug 26–27 at The New York Data Science & AI Conference in NYC & online! 🎟️For info & to register: dataconf.ai/nyc #UrbanAnalytics #Transportation #dataBS

What’s going on inside your model? 🤔 Andrew Gelman will share new Bayesian tools for understanding fitted models, including sensitivity analysis, influence plots & more. 📍The NY Data Science & AI Conf, Aug 26–27 in NYC & online! 🎟️ Tix & info: dataconf.ai/nyc #DataScience #BayesianStats #dataBS

LLMs can be unpredictable, but powerful! Daniel Chen shares how to build AI dashboards with Chatlas & Ellmer, & where LLMs fit into reproducible data science. 📍The NY Data Science & AI Conf I Aug 26–27 in NYC & Online 🎟️ & info: dataconf.ai/nyc #LLMs #AI #ShinyApps #dataBS @chendaniely.bsky.social