Case Study: Major U.S. Company achieves fair, explainable hiring with IBM Cloud Pak for Data

Major U.S. Company - Customer Case Study

Major U.S. Company, an industry leader with over 1,000 data scientists and hundreds of ML models in production, faced the challenge of ensuring fairness, explainability and trust in AI-driven hiring decisions. To scale trustworthy AI governance across the enterprise, the company partnered with IBM Cloud Pak for Data, deploying IBM Watson Studio on Cloud Pak for Data and engaging IBM’s Expert Labs to address bias, drift and transparency in its hiring models.

Using IBM Cloud Pak for Data and IBM Watson Studio, IBM’s teams built an enterprise framework and operationalized monitoring for bias, fairness, accuracy, drift, explainability and transparency across the AI lifecycle. The solution enabled the Major U.S. Company to proactively detect and mitigate hiring bias, reduce DevOps workload so data scientists can focus on new model development, and scale repeatable, trustworthy AI practices across the organization.