Unless you want to be a data scientist who just executes what they are told, it is always helpful to have a good understanding of the domain in which you intend to design data science solutions.
That knowledge allows you to design solutions that are optimal, not just from the algorithm selection perspective but from the perspective of the environment in which they will operate.
Edge AI data science solutions are no exception.
In the “Edge AI Bytes” weekly video series, I explore non-algorithms related topics around Edge AI, in two minutes or less.
This week, we discuss the high-level hardware architecture of Edge AI.
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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