Machine Learning Canvas at Deutsche Telekom
Why you should attend:
Get practical tips to manage ML projects and bridge gaps between business, data science, and IT
Learn how the Machine Learning Canvas helped Deutsche Telekom go from project inception to deployment in production
See a real-world example of a complete MLC for an enterprise project
Machine Learning Canvas for customer success at Microsoft
What you’ll learn:
How the Machine Learning Canvas is used at Microsoft
What comes before the MLC / pre-requisites
How to leverage the MLC after you’ve got it detailed out
From Data Scientist to Manager — Part 2
Topics we’ll cover:
ML project management: typical timeline, dealing with deadlines, etc.
Build vs buy: which to choose?
How to expand a Data Science practice
Daily workflow of a DS / ML manager
Discover ML opportunities in your domain with EventStorming
What you’ll learn:
How to better understand your domain with EventStorming, a methodology from the field of Domain-Driven Design
How to use this methodology to identify opportunities for Machine Learning
How it connects to the Machine Learning Canvas and helps structure your ML projects
ML idea to MVP: a maritime journey in Machine Learning
What you'll learn:
How to overcome challenges in making your organization adopt ML
Why training domain experts in ML is more profitable than outsourcing to data scientists
What each step of the journey to ML deployment looks like — and lessons from taking that journey
Finding the perfect Machine Learning use case
Are you trying to align ML’s possibilities with value creation and with your company’s objectives? Are you wondering which proprietary Machine Learning system you should start developing? Join me in this masterclass and find answers!
What you’ll learn:
How to generate, prioritize, and refine ML use case ideas
How to formulate a prediction task and connect it to a value proposition
How to assess feasibility and prepare for implementation
I’ll be sharing as many tips and packing as much value as I can in an hour — while keeping time for Q&A!
About your host
Louis Dorard is the author of the Machine Learning Canvas, of 5-star book Bootstrapping ML, and the founder of Own Machine Learning.
He has worked as an independent ML consultant since 2014. His references include small and large organizations such as Airbus, AWS, Blablacar, Deloitte, Deezer, EDF, Intel, Konica Minolta, Microsoft AI School and UCL School of Management.
Louis has taught ML to more than 500 developers and managers in person, and he has organized 11 industry ML conferences on 4 continents.
Getting access
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