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AI Governance: Why our tested framework is essential in an AI world

Collibra

It should clearly define the problem that the AI model solves, the data used to train the model, the desired outcomes, and the personas involved. If you’re in financial services, maybe you’re considering how to incorporate AI into fraud detection, or personalized customer service, denial explanations or financial reporting.

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3 key reasons why your organization needs Responsible AI

IBM Big Data Hub

This necessitates the detection of bias during data acquisition, building, training, deploying and monitoring models. Organizations in highly regulated markets such as healthcare, government and financial services have additional challenges in meeting industry regulations around data and models.