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It’s hard to imagine how primitive the world was just ten years ago. The mobile world was still relatively new. Machine learning was still yet to flourish and become a household term.

The mere thought of having machine learning models run on mobile devices was still the stuff of science fiction.

Of course, current mobile devices are up for the challenge. Now that it’s possible, we need to figure out the processes and governance around adding this feature into mobile apps.

Traditionally, mobile application programmers and developers work with various programming languages to construct a model with an abundant code sequence series to develop a mobile application. As a result, programmers and developers face potential issues when manually constructing a mobile application. These issues consist of long development periods, errors within codes using different programming languages, frequent maintenance of models to remain up-to-date, and a more expensive budget to onboard each developer.

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