Can our AI system scale in performance from data input to data output?

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Security Category
Design PhaseInput PhaseModel PhaseOutput Phase
Can our AI system scale in performance from data input to data output?

Can your algorithm scale in performance from the data it learned on to real data? In online situations the rate at which data comes into the model may not align with the rate of anticipated data arrival. This can lead to both outright ML system failure and to a system that “chases" its own tail. Source: BerryVilleiML

If you answered No then you are at risk

If you are not sure, then you might be at risk too

Recommendations

  • Find out what the rate would be of expected data arrival to your model and perform tests in a similar environment with similar amount of data input.
  • Implement measures to make your model scalable.