From Data to Product
Subscribe
Sign in
Home
Archive
About
Latest
Top
Discussions
Before You Choose AI, Define the Problem You Actually Have
“Just Use AI” increasingly sounds as generic as "Become Data Driven"
Oct 6
•
Eric Weber
14
1
May 2026
The calibration tax: Why data teams can't just "move faster"
For all that AI speeds up, it doesn't solve risk calibration
May 13
•
Eric Weber
12
1
3
North star metrics for AI data products
Why this "is this working" is trickier to answer than ever
May 7
•
Eric Weber
24
7
We're Missing Data: The Other Half of AI Transformation
We're not spending enough time talking about the operating model
May 2
•
Eric Weber
36
2
3
April 2026
Measurement Engineering: The Part of Data Science That Will Thrive in AI
What good judgment actually looks like in data science needs a new name
Apr 25
•
Eric Weber
42
2
10
The Token Trap: Data's Newest Vanity Metric
Is AI really making your data team more productive?
Apr 13
•
Eric Weber
and
Stefanie Tignor
17
2
Stop Counting Dashboards. Data Team ROI in an AI First World.
The uncomfortable ROI question that's coming for data teams everywhere.
Apr 4
•
Eric Weber
34
5
4
March 2026
Data Scientists: How to Own the Product and Thrive in the AI Era.
Tackle the fork in the road with excitement, not dread.
Mar 30
•
Eric Weber
25
1
3
Data Jobs Aren't Dying. They're Splitting.
But one version of the data job won't make it.
Mar 25
•
Eric Weber
30
4
2
Data Infra PM: The Most Important Role in Data Product
As agents engage with data, the foundations are starting to crack
Mar 19
•
Eric Weber
18
1
Data for Product: An Intuition or Optimization Tool?
The next big thing probably isn’t in the training data.
Mar 15
•
Eric Weber
8
3
1
Long Live the Minutiae
In data interviews, the details matter more than ever
Mar 9
•
Eric Weber
and
Stefanie Tignor
6
1
This site requires JavaScript to run correctly. Please
turn on JavaScript
or unblock scripts