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The Databricks Dilemma: When Enterprise Platforms Are Overkill for Simple Data Science

Your company wants you to migrate from Postgres and Jupyter to Databricks for 100k-row datasets. Here’s why that might be a costly mistake and how to decide if it’s really worth it.

#data science#databricks#jupyter...

AI Agents

The November 2025 Inflection: How Data Teams Actually Use AI Agents Without Burning Their Codebase

An examination of real-world generative AI adoption patterns in data science, moving from chatbot assistance to autonomous agent workflows.

#AI Agents#Claude Code#data science...

artificial intelligence

AI Is Better Than You at Regex, And Other Tasks Data Scientists Must Admit

Engineers are openly conceding that AI tools outperform humans in specific technical tasks like writing regex for data cleansing, marking a shift in how we define expertise in data roles.

#artificial intelligence#automation#data science...

data science

Tabular AI Just Left Gradient Boosting in the Dust, Now What?

TabPFN’s scaling mode now handles 10+ million rows, moving from a research novelty to an enterprise staple. This rapid evolution signals a seismic shift in structured data modeling.

#data science#foundation models#machine learning