Modern Data 101
Subscribe
Sign in
Home
Expert's Desk ⭐️
Data Product Playbook 📒
Modern Data Report 2026 📊
State of Data Products 🗞️
Modules 📚
Masterclass 🎓
Archive
Latest
Top
Discussions
The Retrieval Layer between Your Data and Your AI Outputs is a Product Decision
Your AI Is Reading the Wrong Things: Lessons from the Trenches of Enterprise AI Enablement.
Jun 4
•
Ankita Chatrath
17
5
The AI Promise: A Pyramid View of What Lingers
If AI demos are the top note, the value that actually lasts comes from the deeper layers underneath: platform architecture, governance, and the people…
Jun 1
•
Oratorvert
20
7
May 2026
Five Architectural Patterns for Secure, Role‑Based Access in Government BI
Architecting the defensible public sector analytics environment
May 25
16
3
Data Products Are Not the Destination. They Are What Gets You There.
Building the Infrastructures of Data & AI Capabilities and Understanding Impact of Productised Data Foundations
May 22
•
Amy Raygada
30
5
New Data Roles to Prep for in an AI-Transitioned World
We're all deeply integrated in the AI-world now and have most definitely felt the need for some new special skills. This one's all about that.
May 20
•
Travis Thompson
53
2
5
The Semantic Medallion: Building a Knowledge Graph-Powered Data Catalog
How you can transform raw data sources into a unified knowledge graph in four lines of Python
May 14
•
Veronika Heimsbakk
158
6
20
The Perfume Problem: Why Most AI Demos Smell Amazing and Disappear Just as Fast
AI demos often sell the sensation of intelligence more convincingly than the substance behind it, and buyers need to learn how to tell the difference…
May 11
•
Oratorvert
32
3
7
AI-Ready Data Is Not Decision-Ready AI
AI-ready data makes the world legible to machines. Decision-ready AI makes machine reasoning accountable to organizations.
May 7
•
Dominika Michalska
42
9
18
The Ontology Pipeline™, Refresh
Where We Were, Where We Are, and Where We're Headed
May 4
•
Jessica Talisman, MLS
75
1
11
April 2026
Batter Up: AI, Labor, and the Policy Gap Nobody Is Closing
AI is reaching everything from the baseball diamond to the cubical, are policy makers ready to keep up?
Apr 30
•
John Hughes
20
1
8
Data Product Maturity Assessment: Measure Your Unit of Context
A framework-backed tool to find out exactly where your data products stand, and what to do next.
Apr 27
42
1
10
Ontologies in the Age of AI: Why Better Models Still Depend on Better Meaning
The importance of resolving semantic ambiguity in data models through ontologies.
Apr 24
•
Sonam
41
1
6
This site requires JavaScript to run correctly. Please
turn on JavaScript
or unblock scripts
