Operational Excellence Drives Trust in AI
When designing a trustworthy model, it’s vital that you follow best practices related to the operation of the system. When and how should a machine learning model be used? How should you interpret any individual prediction? What is necessary to ensure the system is compliant and secure? How can you ensure that your model doesn’t degrade over time as the data changes? Answering these questions is integral to getting the intended value out of an AI system and safeguarding your enterprise and data.