It can seem overwhelming to choose the right implementation approaches to these hot technologies. Here are six effective ways to attain quantifiable results from AI and ML.
I definitely agree with the 6 ways he has suggested. I would add a few of my own to his list.
7 Check the data definitions are consistent. For example I have in the past worked at an organisation that called the same data different names in different systems, used different formats for that common data item, or even different values for the same thing in different systems. You need to sort out the MDM of the data first so you always compare apples to apples and pears to pears.
8 Handle the same fields, same data, etc in different physical formats - for example is it text, number, decimal, number. What happens when you convert to a common format - does it change the value or format.
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