AI, Sensor-Based Analytics, and a Generational Shift: Three Trends to be Aware of in 2017
AI, Sensor-Based Analytics, and a Generational Shift: Three Trends to be Aware of in 2017

by Daniel Kimmel

Opex’s Mike Watson recently appeared on the Supply Chain Television Channel to discuss three defining trends that he has watched develop in the world of Supply Chain Analytics so far in 2017. Dan Gilmore, editor of Supply Chain Digest, facilitated the interview.

To give you an idea of what you will learn when you view the video:

He discusses what business leaders need to be aware of now that “Artificial Intelligence” has developed into a general umbrella term for “anything that uses data,” and explains the difference between the general buzzword and what AI means among the technical community, as well as a few of AI’s more sophisticated applications. (For example, quality control, which he previously wrote about on our blog here using one of his favorite examples, the Lay’s potato chip). He notes the growing use of Sensor-Based Analytics to track inventory across the global supply chain, as well as addresses the complicated question concerning the massive amounts of data provided by sensors and determining what data is worth saving and what is not worth saving. And finally, he discusses the implications of the “generational gap” that is growing between younger data scientists, who increasingly prefer to use open-source tools such as Python and R, and supply chain planners who are accustomed to more traditional modes of operation working with Excel or other off-the-shelf packages.

View the interview as a stand-alone video here.

Also, check out Mike’s follow-up article in the SC Digest, “Supply Chain by Design: Three Things That Supply Chain Managers Should Know about Artificial Intelligence.”

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['Opex Analytics']
['Technology', 'Artificial Intelligence', 'Supply Chain', 'Logistics', 'Analytics']