How do you handle the challenge of model drift and ensure your AI models remain accurate over time?

This may be more specific to our Customer Success organization, but at the current stage of AI integration, we’re primarily leveraging AI solutions through our tools stra...

Very much from the context of AI as an assistant for Customer Success functions rather than a replacement, CS team members should be able to know whether an AI produced o...

Model drift happens because customer behavior, usage patterns, and even market conditions keep evolving. To manage this, we monitor model accuracy against defined KPIs, s...

For someone who does not know what model drift is, here is the pre-read: Model drift occurs when the performance of a machine learning model degrades over time because th...