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Archive
🎯 End-to-End Guide to Building Data Products and Modular AI-Systems
Collection of our Top Resources, from Strategy to Data Product Evolution, and more!
Dec 1, 2023
•
Modern Data 101
45
3
Context Graphs and the Future of AI Autonomy
Fundamentals and context as an use case of data operating systems.
Jan 15
•
Travis Thompson
18
2
7
Reconfiguring AI as Data Discovery Agent(s)?
AI Cannot "Discover" What Your Data Platform Cannot Prove
Jan 12
•
Animesh Kumar
18
9
Most Popular
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Where Exactly Data Becomes Product: Illustrated Guide to Data Products in Action
Aug 1, 2024
•
Animesh Kumar
and
Travis Thompson
84
4
How the Ontology Pipeline Powers Semantic Knowledge Systems
Mar 20, 2025
•
Jessica Talisman
93
16
14
Data Products: A Case Against Medallion Architecture
Feb 13, 2025
•
Animesh Kumar
,
Shubhanshu Jain
, and
Samadrita Ghosh
74
8
7
Introducing Lakehouse 2.0: What Changes?
Apr 18, 2025
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Animesh Kumar
and
Travis Thompson
63
6
AI-Ready Data vs. Analytics-Ready Data
Jan 5
•
Animesh Kumar
72
5
15
AI-Ready Data: A Technical Assessment. The Fuel and the Friction.
Sep 11, 2025
•
Sagar Paul
40
2
8
Latest
Top
Discussions
The Wheel and the Algorithm | Part 1
What a chance encounter on an Amtrak train revealed about the nature of technological revolutions
Jan 8
•
Sagar Paul
12
5
AI-Ready Data vs. Analytics-Ready Data
Identifiers of "ready," data consumption patterns, maturity paths, and possibilities of "upgrading" from Analytics-ready states to AI-ready states.
Jan 5
•
Animesh Kumar
72
5
15
Behind the Scenes of Data Musicals with Tiankai Feng | A Christmas Special with MD101🎄
Tiankai Feng is perhaps one of the most unique creators and influencers in the data arena.
Dec 22, 2025
•
Tiankai Feng
and
Modern Data 101
10
1
7
Why Inaction Feels Easier Than Action in Data Quality
The latent signals of inaction, the business awakening curve, and the mindset shift.
Dec 18, 2025
•
Gaurav Patole
15
1
7
Rethinking Data Movement: A First Principles Approach
Why batch-heavy ingestion breaks under modern scale, and what incremental-first, observable pipelines replace it with
Dec 15, 2025
•
Animesh Kumar
and
Darpan Vyas
34
5
9
Building Robust Data Products: 5 Pillars Every Data Engineer Should Apply
The Onion Model, Coherent Approach to Data Management, and Balancing Different Evolutionary Timelines
Dec 11, 2025
•
Najate BOUAD
43
1
9
AI and Data are Business Strategy Experiments Now. How Far Are You Willing to Push the Curve?
Why Small Experiments Bend the Curve and Why Most Organizations Never Reach Zone C
Dec 8, 2025
•
Travis Thompson
8
5
Reflecting the Language Instinct in Machines
Feasibility, Atomic structures of language, Template-matching algorithms, and Designing precision of responses for business deployments
Dec 4, 2025
•
Animesh Kumar
22
9
The 20-Year Failure: How AI Closes the Gap between Data Strategy and Business Strategy
AI as the declarative bridge that strives to solve for the ONE common language
Dec 1, 2025
•
Markus Schmidberger
17
7
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