Archive - The Data Ecosystem

Issue #47 – The Misjudged (Yet Integral) Role of Data Governance

Eight minutes to redefine what you thought you knew about Data Governance

Jun 29

Issue #46 – Dealing with the Difficulties of Data Ownership

Without proper accountability, all your quality efforts will fall flat

Jun 22 •

May 2025

Issue #45 – Preventing Issues with Data Contracts & Testing

Beyond detecting issues, why and how you need to enforce data quality into your Data Ecosystem

May 4 •

April 2025

Issue #44 - Upstream Observability to Mitigate Data Issues

To solve the problem, you need to know it exists. Enter data observability (and doing it where it counts)

Apr 27 •

Issue #43 – Approaching Data Quality in Today's Complex Data World

The elephant in the data room, and how to address it with everything going on in our industry

Apr 21 •

Issue #42 – Ecosystem Considerations for Data Science

ML & AI don't exist in a vacuum; what you need to know across the data ecosystem as these areas continue to evolve

Apr 13 •

March 2025

Issue #41 – The Production Process for Machine Learning Models

Clearly articulating what it means to go from use case to ML model to productionised solution

Mar 30 •

Issue #40 – Defining AI Solutions as Simply as Possible

LLMs? RAGs? Agents? AI is confusing! Take ten minutes to understand it all without the technical jargon

Mar 23 •

February 2025

Issue #39 – Types of Machine Learning Models

What are the different types of Machine Learning? How can you use it?

Feb 16 •

Issue #38 – Underpinning Foundations for ML & AI

What you need to know about ML & AI before you go and invest a ton of money on building it

Feb 9 •

January 2025

Issue #37 – The Basics of Machine Learning & AI

10 minutes to uncover what the hell Machine Learning and AI actually are

Jan 26 •

Issue #36 – Real Life Advice on Building a Data Platform

Five crucial tips (from lived experiences) on how to ensure success for your multi-million dollar platform investment

Jan 19 •

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