Katherine Munro | SpeakerHub

Personal Details

Current position (3)

Data Scientist

Smarter Ecommerce

Trainer

LinkedIn Learning

Education Lead

Women in AI Upper Austria

Achievements (2)

Editor, Co-author, 'The Handbook of Data Science and AI'

Data Science, Big Data, and Artificial Intelligence are currently some of the most talked-about concepts in industry, government, and society, and yet also the most misunderstood. This comprehensive guide clarifies these concepts with practical exercises.

Trainer, LinkedIn Learning

Machine Learning and Natural Language Processing are invaluable Data Science skills in today's Big Data world. In her engaging LinkedIn Learning courses, Katherine teaches you to apply them, mixing theory, programming exercises, and real-world case studies.

Degrees (2)

Computational Linguistics

Universität Tübingen

2018 to 2020

BA Linguistics

University of Newcastle

2014 to 2017

Bio

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Bio #1

Katherine is a Data Scientist, Computational Linguist, wannabe entrepreneur, and product leader in the making. She's also a speaker, writer, teacher, and passionate workaholic. Thanks to past roles in teaching, sales and fronting a professional band, Katherine brings a unique energy to the stage, and is adept at making complex topics understandable, facilitating engaging panel discussions, and working the crowd.

After years as a Team Leader, Sales Coach, and English teacher, Katherine pivoted into tech with R&D roles at Mercedes-Benz and the Fraunhofer Institute, specialising in user interfaces and Natural Language Understanding. She then transitioned to data science in the e-commerce and insurance domains, before landing her current role building chat and voicebots at Swisscom. In her free time, Katherine is a tech blogger, a LinkedIn Learning trainer, and a volunteer for diverse initiatives helping women and girls enter tech careers.

Bio #2

Presentations

Presentations (10)

Eating humble Py: From toy problem to real-world solution in predicting Customer Lifetime Value

Recorded talk at PyData Yerevan. YouTube link: https://tinyurl.com/36xr28bj

I should have known I was up against it when even my Kaggle solution sucked. I’d been tasked with launching our company’s research efforts into Customer Lifetime Value prediction, so naturally, I turned to that grail of tutorials and toy datasets, and started exploring. Very quickly I learned two things: the go-to CLV dataset was not worth going to, and I really needed some retail domain experts.

This is the story of my team’s journey from play-problem to real-world solution. Learn, as we learned, what is Customer Lifetime Value and why does everyone in retail suddenly want to predict it? Take a tour of common approaches to solving this problem, from machine learning to good old fashioned spreadsheets. Feel all the practical pains our clients inflicted on us, and discover why CLV prediction is not as easy as Towards Data Science makes it out to be.

Artificial Intelligence and Natural Language Processing in E-Commerce

Recorded presentation for PERFORM EU Research Group. YouTube link: https://tinyurl.com/4dpv27zt

Katherine Munro, Data Scientist at Smarter Ecommerce, provides you with a well-structured overview regarding the current state of AI and NLP in the context of E-Commerce.

Introduction: AI in E-Commerce – the rise of natural language processing
Demonstration: How virtual assistants know what you want to say (and buy!)
Exploration: Applications of Natural Language Processing in E-Commerce
Innovation: Natural Language Processing initiatives at smec
Reflection: Conclusion and Q&A

Growing Ecommerce Ep. 25: Customer Lifetime Value with data scientist Katherine Munro

Podcast recording, YouTube link: https://www.youtube.com/watch?v=0YXi8GrSdng

Welcome to Episode 25 of Growing Ecommerce. This time, Mike is joined by Katherine Munro, a data scientist at smec. If you have a stereotype in your mind that data scientists are brilliant, then Katherine will not disappoint you. She is a fountain of knowledge – disciplined and scientific as you might expect, and also incredibly creative in her thinking.

We catch up about some current projects she’s working on and then dive into CLV, or Customer Lifetime Value. What is CLV exactly, what are approaches to calculating or modelling it? How can we use it in an ecommerce setting? We talk cohorts, categories, and KPIs.

Listen to the news growing ecommerce episode and learn more about:

What is it? How to calculate or model it? - 04:19
How to use CLV in an e commerce setting? -17:13
The value of CLV for your business? -26:51
Beyond CLV - 36:31

Can Artificial Intelligence Solve my Business Problem?

YouTube link: https://www.youtube.com/watch?v=ciOw9hWnMZc

As part of the Women in AI Global Summit 2020, Data Scientists Katherine Munro and Verena Stanzl walk you through their recent article, 'Can AI Solve my Business Problem?', and show you how this is, in fact, not quite the right question at all...

AI in Marketing

Recorded webinar. YouTube link: https://www.youtube.com/watch?v=b4yqG_-0NjY

Dive into real-world examples in areas like personalized messaging, tailored product recommendations, assistive search, personal services, and more. Join Katherine Munro in exploring this exciting new domain.

Future Roles Regarding AI

YouTube link: https://www.youtube.com/watch?v=ao3IW1u4tsM

As part of the Women in AI Global Summit 2020, data scientist Katherine Munro interviews Gabriele Bolek-Fügl, IT Auditor, Digital Lion Solutions, on how Artificial Intelligence will change our workplaces, and which new roles we can expect to see.

Artificial Intelligence | I Don't Know About That with Jim Jefferies #81

YouTube link: https://youtu.be/IyOZgu8XlmQ?t=1700

Warning: coarse language and explicit themes (not from Katherine).
Interview on AI starts at 28 minutes (link is for the correct time).

In this episode of 'I Don't Know About That', with Australia's most famous comedian, Jim Jeffries, Katherine explains Artificial Intelligence in a language even jokers can understand.

What's in the Box? Practical Perspectives on Building Explainable and Trustworthy AI

YouTube link: https://www.youtube.com/watch?v=SHnN6iqVxso&t=21s

In September 2021, Women in AI Upper Austria hosted the event: What's in the Box? Practical Perspectives on Building Explainable and Trustworthy AI.

In the following panel discussion, moderated by data scientist Katherine Munro, our expert panel covered topics like:

Why do we need explainable AI if it can perform at “better” than human levels of accuracy?
Do you believe that trustworthy tools should be fixed? Does it depend on the application domain?
Is it even possible to create trustworthy AI?
Isn’t ethics also biased? How can you weight the different perspectives that will inevitably arise when discussing the ethics of AI applications?

Shaping AI For Good: A Discussion by Women in AI Upper Austria

YouTube link: https://www.youtube.com/watch?v=Zbj_CZTURdw

Recently, Women in AI Upper Austria hosted a night of talks along the theme ‘Shaping AI for Good’, featuring three expert speakers and moderation by data scientist Katherine Munro:

Katrin Strasser, Data Scientist and expert in Natural Language Processing, spoke about AI bias.
Professor Karin Brückmuller, University Professor for Criminal Law and Criminal Procedure Law, spoke of the difficulties of applying laws and frameworks for AI in the case of autonomous vehicles.
Finally, they were joined by Lisa Ehrlinger, senior researcher in the fields of information systems, ontologies, and data modeling, for a panel discussion on Shaping AI For Good.

AI for Business: Redefining your Strategic Training Programs with AI

YouTube link: https://www.youtube.com/watch?v=E_wyFmA6xVY&t=67s

In this webinar from AI-Powered educational app, Korbit.ai, two expert guests present their experience and vision for AI applications in business. First up, data scientist Katherine Munro shares some exciting applications of AI in marketing...

Past talks (3)

Lessons learned testing LLM-based conversational AI systems

DSC Adria

Zagreb, Croatia

June 18, 2025

Where there's a will, there's a way: The mad genius of LLMs as a classifiers

Data Science Conference Europe

Belgrade, Serbia

November 13, 2024

Learn Like a Leader, Prompt Like a Pro

DSC MENA

Cairo, Egypt