Since I frequently write about applications of deep learning in Manufacturing
analytics, I often ask, “How soon can we develop the capability to
leverage cognitive analytics methodologies like deep learning in our
manufacturing processes? How should we start working towards developing
the capability?”
And my answer always is – The first critical step is to build a foundation
that can provide you the capability to develop deep learning capabilities to
forget about leveraging Deep Learning capabilities.
Because let us admit it- the state of analytics in manufacturing in most
companies is still in rudimentary stages. I can quote a percentage from one of
the many available surveys, but I hope you get the point.
And as I always insist, I do not believe in “quantum jumps” in
building genuine internal analytics capabilities. So what that means is
that even if you get an external partner to help you directly build deep
learning capabilities, without having developed robust descriptive,
prescriptive, and predictive analytics capabilities, you will most likely not
be able to sustain the capability in the long term.
So here is a suggested roadmap in terms of building the capabilities in your
manufacturing operations:
Kumar Singh is the founder of Designed Analytics LLC, which is focused on helping organizations explore how to leverage data and analytics to effectively compete, thrive and innovate.
Kumar has over a decade of hands-on experience in supply chain and operations analytics. With over a decade of industry experience, he has worked across multiple industries, helping companies set up analytics centers of excellence.
Post his industry experience, Kumar also did a stint in external consulting as a data science consultant with Boston Consulting Group (BCG). Kumar holds an MSc. in AI from Liverpool John Moores University, a Masters in Supply Chain from The Ross School of Business at The University of Michigan, Ann Arbor, an MBA in Operations Management from IIT Roorkee, India, and an undergraduate degree in Electrical engineering.
Kumar is ASCM CPIM, CSCP, and CLTD certified and holds the PMP certification from PMI. He is also an AWS-certified Machine Learning Specialist and Microsoft certified in the Azure IoT developer specialty.
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