Archive - Modern Data 101

The Dashboard Doppelgänger: When GenAI Meets the Human Gaze

Dashboard Experiments in phases with Traditional ChatGPT, Data Analyst Agent, and Data Visualization Expert Agent. Diving into why AI needs more than…

Jun 19 •

and

The Reflexive Supply Chain Stack: Sensing, Thinking, Acting

The bullwhip effect of supply chains, locating where decisions die, and building the action layer for decisions to come alive.

Jun 12 •

Universal Truths of How Data Responsibilities Work Across Organisations

Building higher clarity on data accountability, observation of common ownership patterns across large data organisations, and addressing gaps in the…

Jun 5 •

May 2025

Data Quality: A Cultural Device in the Age of AI-Driven Adoption

Transitioning to proactive quality with a trifecta of AI abstractions, productised data tracks, and self-serve infrastructure

May 29 •

The Role of the Data Architect in AI Enablement

Pivoting on right-sized foundations, delivered through focused vertical slices, and driven by impact, not just technology.

May 22 •

Reverse Sampling: Rethinking How We Test Data Pipelines

More confidence in upstream pipelines, more time for data engineers to build solutions instead of iterating on the same pipelines, and a revelation on a…

May 15 •

,

, and

Samadrita Ghosh

Building Self-Evolving Knowledge Graphs Using Agentic Systems

Navigating the impact of graph databases and how AI agents address the limitations of static graphs with continuous knowledge base expansion and…

May 8 •

Brij Mohan Singh

and

Ritwika Chowdhury

Data Lineage is Strategy: Beyond Observability and Debugging

Gaps in passive lineage, how and why Data Products change and uplift lineage, and notes on stepping up to the AI-native era.

May 1 •

Travis Thompson

April 2025

Data Product Owner: Why Every Organisation Needs One

The Strategic Role of Data Product Owners, the Four Pillars They Lead, Eight Elements They Deliver, and How They Turn Data into Business Value!

Apr 24 •

Introducing Lakehouse 2.0: What Changes?

Transitioning to the 2nd Generation, an Architectural Overview, Pivots for Decentralisation, Design that brings freedom to both Business & the Stack

Apr 18 •

and

Travis Thompson

Lakehouse 2.0: The Open System That Lakehouse 1.0 Was Meant to Be | Part 1

Conflicts Between Truly Open Systems & The Lakehouse Architecture, the Open Table Format Revolution, and Strong Validation for the Emergence of…

Apr 10 •

and

Travis Thompson

From Data Tyranny to Data Democracy

How shifting to risk based governance may speed up your data driven projects.

Apr 3 •

Francesco De Cassai

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