Embracing the Power of AI by Globant

Author:Globant [Globant]
Language: eng
Format: epub
ISBN: 9781944903640
Publisher: Roundtree Press
Published: 2018-04-24T22:00:00+00:00

Throughout all this process, a core concern remains lurking below the surface. How am I measuring success, cost, preference? Is it aligned with business requirements? Is it technically helpful? How can I combine them? All metrics have biases and blind spots, and not all of them are mathematically useful for training!

Once the team is confident with the solution, it can work on converting the outcomes of the algorithms into insights, action items, predictions, or simply put: Data Products. The overall process can be seen, simplified, in figure 7.2.

The process is not quite finished at this point. Making sure that the trained algorithm, app, or system can actually work in production, scale, and be kept in control requires some heavy engineering skills. Through the monitoring of its behavior and use, feedback can be incorporated back into the problem definition and all the other stages. In fact, we can see in figure 7.3 a more truthful representation of the actual workflow, considering all the ways we can loop back to an earlier stage before moving forward.

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