Monday Morning Data Chat

#99 - Dealing with Dirty Data and Data Hubris w/ Jessica Talisman

Oct 24, 2022

01:01:22

Creator website

Episode guests

Jessica Talisman

Highlights

AI Chapters

Episode notes

Human Involvement in Taxonomy Creation for Effective AI and ML

01:42

Compliance Standards and Taxonomies in the EU

01:04

Building a Robust Knowledge Base with NLP

00:52

Data Engineering and Data Science

02:29

Introduction

2min

Is There a Poly Hierarchy in E-Commerce?

3min

How Do You Manage Multiple Relationships in Taxonomies?

5min

Data Catalog

4min

Is There a Difference Between Language and Music Classifications?

2min

Is There a Difference Between Ontology and Taxonomy?

3min

Master Data Management - Controlled Vocabulary and Crosswalks

3min

Data Engineers - What Type of Data Engineer Should We Hire?

2min

Is ML Clustering a Good Addition to Human Driven Taxonomy?

4min

10.

NLP and Taxonomy

3min

11.

Is Stable Diffusion a Good Example of an Industry Standard Taxonomy?

4min

12.

Do You Know Some Latin?

2min

13.

Do Emojis Have a Taxonomy?

3min

14.

Symbols for Efficiency and Speed

2min

15.

UX and UX Folk Design Products Work Closely Together

5min

16.

Taxonomy and the Data Quality Dashboard

4min

17.

Data Engineering and Data Science

2min

18.

The Value of Copy Cataloging in Data Management

5min

19.

How to Standardize Ethics and Bias?

2min

20.

What's Up With You?

2min

Why do we race to implement trending solutions without intimate knowledge of the state of the data? Jessica Talisman (Senior Taxonomist and Information Architect) joins to show to chat about data hubris, dirty data, and much more.

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