Data Science For Supply Chain Forecast (with Nicolas Vandeput) - Ep 30

Full transcript: www.lokad.com/tv/2018/11/28/d...
The rise of open-source software and the widespread adoption of programming languages such as Python has allowed supply chain practitioners to work with increasingly more advanced statistical models. However many professionals still have the impression that implementing advanced forecasting techniques is an insurmountable challenge, best left to professionals. In todays episode we discuss with Nicolas Vandeput his new book, “Data Science for Supply Chain Forecast”, which aims to dispel this myth and show that anyone can create their own forecasts.
Machine learning comes with different questions than old school statistics. It requires a different mindset, different experiments and different data. Joannes Vermorel joins us to discuss how going from a statistical forecast to a machine learning forecast will change some of our habits. We understand how open-source software fits into the vision of Lokad and discuss the benefits of collaboration and competition. Finally we understand what the open-source supply chains of the future could look like and what the first steps executives can take to start implementing advanced forecasts for their organisations.
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Episode Map:
0:00:00 - Introduction
0:00:33 - Nicolas, how did you get involved in the world of supply chains?
0:01:22 - What is your book “Data Science for Supply Chain Forecasts” about?
0:01:58 - Joannès, what’s your perspective on the book?
0:06:08 - Joannès, it’s not just the forecasting world benefitting from open-source software, which other industries have really benefited?
0:10:37 - Joannès, does it make you nervous that there are so many easy to use, open-source forecasting tools out there?
0:14:23 - A lot of these ideas have been developed from a theoretical perspective, could they be applied in a production setting?
0:15:33 - Joannès, for using these ideas on a daily, production basis how could Lokad help?
0:21:30 - What do we do to evangelize the market so that there’s more importance placed on having the correct data?
0:24:15 - Nicolas, we’ve spoken about the benefits of some of these open-source toolkits, what are some of the drawbacks?
0:25:17 - Joannès, you seem confident that there’ll always be a place for Lokad. Looking forward, what can you see that place being in the market?
0:31:59 - Nicolas, what are your hopes for the readers of your book and for the use of open-source toolkits going forwards?
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Check out our website: www.lokad.com/
Buy the book: www.amazon.co.uk/Data-Science...
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[@Supplychains]

! I really love this video!

[@saibharadwajvenati3149]

Where this channel hiding all these days?
Anyways 450th subscriber! Loving the content!
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[@samith2samith94]

I am working in Order Management System under Supply chain management and I am doing online masters in Data science. I have already 7 years of experience in order management system. Is doing masters in DS right decision in my career?

[@abdennourhocine732]

hello, i am so interested to learn more about this subject
I am a student and this is my last year i study supply chain management and distribution and i have some self skills in sql paython and R because i already leard Data science
sir i am looking for some books or articles about the impact of data science in supply chain management
and thank you

[@Lokad]

Check our series of lectures on supply chain th-cam.com/play/PLVPF96B7tFlp2re0zhkU2O0mchl8IrrNs.html Hope it helps!

[@abdennourhocine732]

thanks a lot

[@amousawie]

A bit of a mouthful?