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Success, Risk, and Continuation (Identify Success Criteria (using auto ML…
Success, Risk, and Continuation
Identify Success Criteria
using auto ML makes it easier to have high success rates
Ask yourself questions while working on your project
include the users of the model that you are building in your process
make sure to ask for help and support from management as well
specify the costs and benefits of your project
Foresee Risk
risks are hard to predict and calculate
use devils advocate to find / prevent problems
environmental risk
external environment of company
cultural risk
think outside of the box in regards to company norms
ethical risk
privacy is a big concern
know the laws of the country in which you are operating in
data / model risk
Decide Whether to Continue
once you have evaluated risk and rewards decide if it is worth it to move on with the project
use data already available to "test" your project
get feedback from experts and people around you
succeed or fail quickly to minimize risk and money spent