The app for independent voices
It's time for another data/AI roundup and here are the highlights from Januaryπ
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Why βuse agents or be left behindβ is mostly about practical automation
Piecewise regression for spotting regime shifts in time series
Why AI benchmarks are hitting a measurement wall
What the data actually says about the state of open models
How large-scale recommendation systems are built in the real world
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How Unity Catalog really works under the hood
Databricks Lakeflow vs Airflow in practice
End-to-end agentic data modeling with OpenMetadata
A candid look at the day-to-day reality of data engineering
How Uber cut data lake freshness from hours to minutes with Flink
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The best data visualization projects of 2025
Why storytelling matters more than chart tricks
Designing more accessible line charts
Practical rules for dashboard filter placement
Plus: ontologies explained, hard lessons from building AI agents in finance and new data on whoβs really buying AI compute.
