We're using LLMs to do more with more

Loving the #geospatial #databs

Some thoughts about open source vs closed models from Joe Marlo in the age of #GenAI

Some first thoughts on using @anthropic.com's Claude Code with #rstats

My favorite kind of data science is geospatial

So much more than just code

Part 2 of setting up the Dell DGX Spark, now with Claude Code. Or check out the more personal version at www.jaredlander.com/2026/02/conf...

The Dell version of the DGX Spark has been a fun device to play with. Check out the initial setup at the link below or find my more casual review at www.jaredlander.com/2026/02/sett...

See how Mike Band, with his long history of combining football and analytics, uses LLMs to breakdown the game between the Patriots and Seahawks.

See the latest piece from @landeranalytics.com team member Joe Marlo

Apps crashing under load? Servers failing? We use Kubernetes to keep your systems resilient, self-healing clusters, automated scaling, and rolling updates ensure high availability and uninterrupted performance. 📽️ Watch here: youtu.be/Cf_vX-0Qrlc #Kubernetes #CloudComputing #DevOps #databs

Tuesday night (1/27) at the New York Open Statistical Programming Meetup, Bill Gold will share how he vibe coded his recreational schedule. Don’t miss it! 📍 In-person at NYU & virtual | 7 PM ET 🙋 More info & RSVP: nyhackr.org #DataBS #VibeCoding

AI isn’t an arms race for most organizations. This post explains how small and mid-sized teams create real value with AI by focusing on workflows, context, and domain expertise, not massive budgets or moonshots. 🔗: bit.ly/49YekBY #AI #DataScience #SMB #databs

The @landeranalytics.com blog is back. We'll be writing about what happens when AI meets real systems: legacy stacks, production constraints and practical tradeoffs that don’t show up in demos. landeranalytics.com/post/welcome-back-to-the-lander-analytics-blog #DataScience #AI #Analytics #databs

The Lander Analytics blog is live again. We will be sharing what we’re learning as we modernize analytics stacks, deploy models and integrate LLMs into real workflows, alongside the legacy systems most organizations still run on. landeranalytics.com/post/welcome-back-to-the-lander-analytics-blog

At the New York Open Statistical Programming Meetup on Tuesday, January 27, Bill Gold will talk about how he vibe coded his recreational schedule. 📍 In-Person at NYU & Virtual | 7 PM (ET) 🙋‍♀️ More info & RSVP: nyhackr.org #databs

Looking to get people's experience running #rstats on a snapdragon (ARM) processor with Windows. Good, bad, ugly, excellent?

Built a great Shiny app but struggling to share it? We help teams deploy, secure & scale Shiny using Docker, Kubernetes, and full infrastructure support. Your app becomes a fast, reliable web tool accessible across your org—no crashes, no headaches. 📽️ Watch: youtu.be/Tp5eCo0vnLI #Shiny #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

Imagine asking your building: “What’s next Friday’s occupancy?” and getting the answer instantly. AEDify’s chatbot makes it real, fast insights, no guesswork, lower costs. 📽️ See how it works: bit.ly/AEDIFYCBTLL #AI #DataScience #CRE #SmartBuildings

At the New York Open Statistical Programming Meetup on Wed, Sept 17, Frank Kovacs will talk about Model Context Protocol, showing how MCP integrates data sources to enable more agentic AI. 📍 In-Person at NYU & Virtual | 7 PM (ET) 🙋‍♀️ More info & RSVP: nyhackr.org #databs @statkovacs.bsky.social

Was helping a client today with a 500 million row dataset. It took about 42 GB as a CSV & 7 GB as a parquet file. We needed a count of rows per ID. We tried Arrow but gave up after staring at the console for a few minutes. Switched to @duckdb.org & got an answer in less than a second.

📊 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

📸 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! 🤝☕✨

☀️📊 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

⚙️ 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

🧠 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

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

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

🏥 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

Going to see how much coding with AI has improved since my talk about building an R package with LLMs. This time with a new-to-me tech instead of my trusty R.

Managing office space is tough, empty rooms, high energy bills, surprise costs. AEDify solves this. Our platform predicts future occupancy with AI, helping CRE teams cut waste & plan smarter. 📽️ Watch how it works: bit.ly/AEDIFYTLL #AI #PropTech #CRE #DataScience #Sustainability

🚨 The New York Data Science & AI Conference is just 1 month away! Join us Aug 26–27 in NYC or online. Hear speakers from Bloomberg Industry Group, NFL, Airbnb, Yankees, Michigan Medicine & more + hands-on workshops on Aug 25! 🎟️ Learn more: dataconf.ai/nyc #databs #DataScience #AI #TechConference

At the New York Open Statistical Programming Meetup on Wed, Aug 13, Max Kuhn will share What’s New in Tidymodels?, covering updates on postprocessing, sparse data, parallel processing, catboost, AI & more. 📍 In-Person at NYU & Virtually Online | 7 PM (ET) 🙋‍♀️ More info & RSVP: nyhackr.org #databs

The NY Data Science & AI Conference kicks off w/ workshops on Aug 25! 🧠 Machine Learning in R w/ Max Kuhn (@topepo.bsky.social) 🤖 Intro to LLMs/AI w/ Daniel Chen Join us in NYC or online & level up before the main event! 🎟️ Tix & more info: dataconf.ai/nyc #DataScience #RStats #LLMs #AI #databs

Matching data shouldn’t feel like detective work. Our AI embeddings add meaning, fix inconsistencies, and speed up results, whether you’re reconciling reports or connecting systems. 🎥 Learn more: bit.ly/EMBTLL #AI #ML #DataScience #DataBS

Huge news from us today: data.table is now a @numfocus.bsky.social sponsored project!!! 🤩🤩🤩🤩🤩🤩🤩🤩🤩 Details: rdatatable-community...

At the New York Open Statistical Programming Meetup on Thurs, July 10th, Kevin McBeth will discuss how home location impacts insurance premiums, exploring territory models, data sources & carrier comparisons using R. 📍 In-Person at NYU & Virtually Online | 7 PM (ET) 🙋‍♀️ More info & RSVP: nyhackr.org

🚨 New speakers added to the conference! 🎤 Jon Sege & Vincent Pan from White Plains Hospital 🎤 Bill Gold from Citizens Bank Join us Aug 26–27 in NYC or virtually with workshops on Aug 25! 🎟️ Tix & more info: dataconf.ai/nyc #databs #AI #DataScience #DeepLearning #GenAI

From healthcare to oil & gas, messy data causes errors and delays. Our AI embeddings decode context across formats, like knowing when “LA” means Louisiana, not Los Angeles. Smarter matching. Less cleanup. 🎥 Watch the video: bit.ly/EMBTLL #AI #DataMatching #Embeddings #DataBS

The @landeranalytics.com YouTube channel has been posting #datascience videos for many years. One of the most consistently popular videos is from 2021 and is about using #rstats in @vscode.dev. Seems like there is a large appetite. www.youtube.com/watch?v=9xXB...

I updated my dockerized 🐳 R-dev template: 🔹 Clone my local zsh settings 🔹 Add CLI tools To use it, fork -> modify and create your own GitHub template -> On a new project, clone the template, set the required libraries, and build the image github.com/RamiKrispin/... #Rstats

We're happy to share the main talks for the Shiny in Production Conference 2025! This year's lineup includes some great talks on using Shiny in real-world projects, from building apps to scaling them in production. Looking forward to seeing everyone there! #ShinyInProduction #RStats #DataScience

We’re excited to announce new speakers joining the lineup for the conference! 🎤 Chiraag Kala (Airbnb) 🎤 Xilin Chen (Michigan Medicine) 🎤 Swaptik Chowdhury (RAND Corporation) Join us Aug 26–27 in NYC or virtually w/ workshops on Aug 25! 🎟️ Tickets & info: dataconf.ai/nyc #AI #DataScience

Big geospatial data? No problem. We’re using PostGIS, DuckDB, GeoArrow & deck.gl to turn massive spatial datasets into fast, interactive maps. Watch our short video on high-performance spatial analysis 👉 bit.ly/HPGDTLL #DataScience #Geospatial #deckgl

The R Consortium is thrilled to host Dewey Dunnington on June 24th at 10 am Pacific / 1 PM Eastern for a webinar discussing three broad categories of techniques to scale spatial workflows in R. Use the link to learn more and register, today! r-consortium.org/webinars/sca...

Today we're launching DuckLake, an integrated data lake and catalog format powered by SQL. DuckLake unlocks next-generation data warehousing where compute is local, consistency central, and storage scales till infinity. ⁠ducklake is an open standard and we implemented it in the "ducklake" extension.

We’re chuffed to announce the 0.2 release of the GeoArrow specification! We released the first version in September, 2023 and have since worked with the community towards our vision that getting spatial data from one library to another should be fast, easy, and preserve properties like the CRS.

Really excited for version 0.2 of GeoArrow! This has been years in the making and adds: - Geometry, GeometryCollection, Box types. We can now represent mixed-type geometries in an array - New ways to represent CRS. See the release post for more information: geoarrow.org/news/release...