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There's been an intense focus placed on model explainability—also called explainable AI—in theworld of enterprise data science lately, and for good reason.

Understanding why a model makes the decisions that it makes can affect a multitude of critical business factors including:

• Trust: Are we willing to let these predictions influence our operations?
• Transparency: Do we understand how this works?
• Accountability: Who is responsible for the results?
• Bias detection support: Will this make unethical or skewed decisions?
• Regulatory compliance: How do we prove we’re not violating governing mandates?

Download this whitepaper for a detailed expanation of Model Explainability.