Fairness Constrained Optimized Models

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The global experiments with Artificial Intelligence and Machine Learning have mixed outcomes. The problem with most AI and Machine Learning models is that they aren’t built to ensure fairness during learning process across all sub-groups.

Capgemini in collaboration with our partners on Google Cloud platform, has developed a retention model using Google Cloud’s powerful Tensor processing unit (TPU) and the novel Tensorflow Fairness constraint optimization (TFCO) library to enhance fairness without compromising accuracy. This has given us highly improved results.

By using Capgemini’s proven solution, featuring google technology, the enterprises can make a significant move from the age of “Big Data” to the age of “Big AI” with great and ultimately fair solutions.

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