Smart Automation Can Scale Enough

August 19th, 2020

Some people think that Machine Learning will not scale enough to meet their needs. That's incorrect. As with almost any other decision-making software, Machine Learning can scale as much as needed given the right understanding of business and system constraints, and the right design. First, how much do you really need to scale? Second, what are your success metrics? In this post we go through an example of how to make a system scale to large global workloads. There's a matching course in which we show how to implement this system.


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AUTHOR
I help companies through digital transformations by designing and developing systems that improve human decision making with data, cloud, software, and mathematics (Machine Learning, Operations Research, Statistics). I also enjoy coaching teams and publishing content on Smart Automation.

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