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There are several reasons that a winning Enterprise AI strategy must include open source:
- The technical advantage: The bleeding edge of data science algorithms and architecture is only about six months ahead of what is being open sourced. Take TensorFlow, for example, which is a library for building and training neural networks. It was open sourced by Google in late 2015, which means that anyone using it is using the same standard that Google is using for their neural network development.