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Bias Aware Explainable AI

As more and more organizations are practicing data-driven culture, the wheel of data science processes is getting more elaborative. In addition to the classical components of the data science execution model highlighted in green, the need for bias detection, correction, and explainable AI has become evident. Just like bias in the models can lead to lethal consequences, providing just the probabilities of a phenomenon is not longer sufficient as it have become equally important to understand the rational behind every recommendation.

Supported Platforms

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Azure

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AWS

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GCP

Technical Blogs

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Synthetic Data API Access

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