At the New York Open Statistical Programming Meetup on Tuesday, August 11, Eric Leung will be there to talk about Data exploration of Pixar films: Which one is the best? 📍 In-Person at NYU & Virtual | 7 PM (ET) 🙋♀️ More info & RSVP: nyhackr.org
Lander Analytics
@landeranalytics.com
We offer data science consulting and advisory services, infrastructure setup and training in open source software for organizations looking to drive business value from their data assets. Website: landeranalytics.com | Conference Website: dataconf.ai
Twelve years after his original Pizza Principle analysis, Jared Lander revisited the data. This time, AI agents helped with the research and coding. The result? A plain NYC slice now costs about 19% more than a subway ride. Read here: bit.ly/4hMmkeW #DataScience #AI #Statistics
Revisiting the Pizza Principle, Twelve Years Later
The bad news: a slice now costs more than a New York City subway ride. The good news: agents made it much easier to find out.
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👏Our next meetup is on Tuesday, August 11 with Eric Leung, who will be talking about Data exploration of Pixar films: Which one is the best? 📍In-Person at NYU & Virtually Online at 7 PM (ET) 🙋♀️RSVP now ➡️ nyhackr.org
Jared Lander joined Champion Speakers for a Q&A on applied AI. They covered how to start with real problems, set realistic expectations and know where human judgment still matters. Watch the conversation: www.youtube.com/watch?v=FhTH...
Jared Lander Speaker | How Has AI Changed Your Business? | Contact Agent
YouTube video by Champions Speakers
youtube.com
Jared Lander joined Champion Speakers for a Q&A on applied AI. They covered how to start with real problems, set realistic expectations and know where human judgment still matters. Watch the conversation: www.youtube.com/watch?v=FhTH...
Jared Lander Speaker | How Has AI Changed Your Business? | Contact Agent
YouTube video by Champions Speakers
youtube.com
Working with text data is completely different from even just a few years ago #databs
Lander Analytics@landeranalytics.com · last wk.Most companies have valuable data hiding in comments, PDFs, reports, and spreadsheets. We show how embeddings can turn that unstructured text into something you can search, classify, and analyze using real examples across industries. Read here: bit.ly/4gWUnkl #AI #Embeddings
Most companies have valuable data hiding in comments, PDFs, reports, and spreadsheets. We show how embeddings can turn that unstructured text into something you can search, classify, and analyze using real examples across industries. Read here: bit.ly/4gWUnkl #AI #Embeddings
From Text to Vectors: How Embeddings Make Messy Data Useful
Three real-world patterns for turning unstructured text into usable data
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I love this community so much
Lander Analytics@landeranalytics.com · 2w agoWhat began as a 21-person R meetup has grown into one of NYC's longest-running open-source data communities. @jaredlander.com talks about the NY Open Statistical Programming Meetup, why community matters, and why we're still organizing it 15+ years later. Read here: bit.ly/4bUSdy9 #DataScience
What began as a 21-person R meetup has grown into one of NYC's longest-running open-source data communities. @jaredlander.com talks about the NY Open Statistical Programming Meetup, why community matters, and why we're still organizing it 15+ years later. Read here: bit.ly/4bUSdy9 #DataScience
The Meetup That Helped Build New York’s Open-Source Data Community
For more than a decade, Lander Analytics has helped organize one of New York’s most durable data communities
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Customer feedback is valuable but difficult to use at scale. We turn open-ended responses into structured insights using AI, embeddings, and vector search, surfacing themes, sentiment, and trends automatically. 📽️ Watch: youtu.be/JlWvF-TicIM #CustomerInsights #AI #DataBS
July's meetup with Derek Sollberger about Typst for Efficient Typesetting is now available to view. Enjoy! 📽️ Video & Slides ➡️ nyhackr.org/past-talks
Past talks
nyhackr.org
Check out how we use tools like rpeat and @kestra.io to orchestrate and schedule our automated workflows #databs
Lander Analytics@landeranalytics.com · 3w agoCron works great—until your pipeline has branches, loops, retries, subflows, and event triggers. Latest post from Gus Lipkin talks about why we use Kestra to orchestrate complex data workflows while keeping R and Python focused on business logic. Read here: bit.ly/3TgmTn6 #Kestra #DataEngineering
Cron works great—until your pipeline has branches, loops, retries, subflows, and event triggers. Latest post from Gus Lipkin talks about why we use Kestra to orchestrate complex data workflows while keeping R and Python focused on business logic. Read here: bit.ly/3TgmTn6 #Kestra #DataEngineering
Orchestrating the Messy Stuff: Why We Use Kestra
When scheduled jobs become full workflows
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How we are using @chainguard.dev to reduce security risks
Lander Analytics@landeranalytics.com · 4w agoYour Dockerfile may start with one line: FROM python:3.12 …but it also inherits hundreds of packages and potential vulnerabilities. Read why package managers, container images, and CI/CD pipelines all belong in your security model: bit.ly/4h0kAym #CyberSecurity #DevSecOps #Containers
Your Dockerfile may start with one line: FROM python:3.12 …but it also inherits hundreds of packages and potential vulnerabilities. Read why package managers, container images, and CI/CD pipelines all belong in your security model: bit.ly/4h0kAym #CyberSecurity #DevSecOps #Containers
Hardening the Pipeline: Container Security Beyond Zero Trust
Modern security has to verify the software ingredients flowing through the build process
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At the New York Open Statistical Programming Meetup on Monday, July 13, Derek Sollberger will be there to talk about Typst for Efficient Typesetting! 📍 In-Person at NYU & Virtual | 7 PM (ET) 🙋♀️ More info & RSVP: nyhackr.org
The AI story this summer isn't just bigger models. It's model routing. Governance. Cost. Better benchmarks. And figuring out how agents fit into real workflows. Five AI trends we're watching (and why they matter): bit.ly/4uYTElT #AI #DataScience #MachineLearning #GenAI #Innovation
Five Things We’re Watching in AI This Summer
What Fable and Mythos revealed about frontier model adoption, why model routing is becoming practical, and more from the Lander team.
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The AI story this summer isn't just bigger models. It's model routing. Governance. Cost. Better benchmarks. And figuring out how agents fit into real workflows. Five AI trends we're watching (and why they matter): bit.ly/4uYTElT #AI #DataScience #MachineLearning #GenAI #Innovation
Five Things We’re Watching in AI This Summer
What Fable and Mythos revealed about frontier model adoption, why model routing is becoming practical, and more from the Lander team.
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From thousands of sensor readings to a ranked shortlist. We use ML + pattern matching to identify sites that match key subsurface patterns, turning manual review into a scalable process. 📽️ Watch: youtu.be/saj-VYWvnEw #MachineLearning #Geospatial #DataBS
If you've ever hit DuckDB's single-writer limitation, you'll appreciate this. Gus Lipkin takes a look at Quack, DuckDB's new client-server protocol, and why it may finally eliminate the awkward dance of partitioned files, write queues and premature Postgres migrations. bit.ly/4vx8uBi #DuckDB
DuckDB’s Quack Protocol Solves the Problem I Kept Working Around
Why multi-process writes may finally stop sending me back to Postgres or folders full of Parquet files
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Everyone wants an AI assistant. Few want company data leaving their network. This walkthrough shows how to build private, self-hosted AI assistant with Hermes, Ollama and DGX Spark—complete with scoped access, audit trails, and persistent memory. bit.ly/4fUEzOF #AI #LLM #AgenticAI #OpenSourceAI
DGX Spark Series (Part 4): Setting up the Hermes Agentic Assistant
Everyone wants an AI assistant. Here's how to build one that keeps your data where it belongs.
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Everyone wants an AI assistant. Few want company data leaving their network. This walkthrough shows how to build private, self-hosted AI assistant with Hermes, Ollama and DGX Spark—complete with scoped access, audit trails, and persistent memory. bit.ly/4fUEzOF #AI #LLM #AgenticAI #OpenSourceAI
DGX Spark Series (Part 4): Setting up the Hermes Agentic Assistant
Everyone wants an AI assistant. Here's how to build one that keeps your data where it belongs.
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📢 Don't forget about our meetup TOMORROW (Tuesday, 6/16)! John Myles White will be joining us to talk about Genealogy and LLMs! There is still time to RSVP➡️ nyhackr.org Thanks to @NYU_PRIISM for hosting! #LLMs
The Knicks were given just a 0.4% chance to win Game 4. The Patriots fell to 0.2% during Super Bowl LI. Which comeback was actually more improbable? A look at win probability models, uncertainty, and why "almost impossible" isn't the same as impossible. bit.ly/4ekV43S #SportsAnalytics #NBA #NFL
What Was More Improbable: The Knicks’ Game 4 Comeback or the Patriots’ Super Bowl LI Rally from a 28-3 Deficit?
Using ESPN win probability models, the answer is surprisingly close, and probably closer than the exact decimals suggest.
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AI coding assistants work best with the right setup: clear conventions, current documentation, and careful review. They speed up coding but discipline keeps things reliable. 📽️ Watch: youtu.be/4csH2-Yf2FQ #RStats #AI #DataBS
Do you need enterprise AI infrastructure for a 120M-parameter model? Maybe not-but the answer is more interesting than you'd think. We break down why Chronos-2, DGX Spark, and a simple FastAPI deployment turned out to be the right combination. bit.ly/4eh0FbC #AI #TimeSeries #Forecasting #DGXSpark
DGX Spark Series (Part 3): When the Wrong-Sized GPU Is the Right Call
What we learned serving Chronos-2 from an R-friendly forecasting pipeline
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Next week is the June New York Open Statistical Programming Meetup! John Myles White dives into Genealogy and LLMs! 📆 Tuesday, June 16 | 7 PM (ET) 📍 In-person at NYU & Virtual 🙋♀️ More info & RSVP: nyhackr.org #LLMs #DataBS
At the New York Open Statistical Programming Meetup on Tuesday, June 16, John Myles White will be there to talk about Genealogy and LLMs! 📍 In-Person at NYU & Virtual | 7 PM (ET) 🙋♀️ More info & RSVP: nyhackr.org #LLMs #DataBS
Use AI coding assistants freely for coding tasks. Use them carefully for analytical ones. In this clip, Jared explains why generated R code still needs statistical judgment, domain knowledge and review discipline before it belongs in a real analysis workflow. Full video here: youtu.be/4csH2-Yf2FQ
Your Zero Trust strategy verifies users, devices and access paths-but what about the code teams install every day? Learn how typosquatting, compromised packages and dependency drift create software supply chain risk-and how governed package management helps. bit.ly/3QeY4qz #CyberSecurity #RStats
Zero Trust's Blind Spot: The Unmanaged Package Manager
How R and Python package installs create software supply chain risk
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