Predictive Modeling Risk Management Strategy Workshop 
O'Reilly on Data
DECEMBER 12, 2019
That’s where model debugging comes in. Model debugging is an emergent discipline focused on finding and fixing problems in ML systems. In addition to newer innovations, the practice borrows from model risk management, traditional model diagnostics, and software testing. Sensitivity analysis. What can you do?
Cloudera
SEPTEMBER 7, 2023
proprietary data, business strategies, methodologies, etc. In this blog series, well dive into the advantages of Trusted AI and the broader ramifications of AI adoption, exploring how financial institutions can bootstrap and evolve their AI strategies, from initial steps to what mature AI adoption looks like. AI-ify risk management.
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