Deploying your model means moving from the experimental phase to leveraging its predictive capabilities in the field to drive your operational decisions. Deployment will require full-stack cooperation and buy-in from team members at every level of your organization. Though your leaders may be the ones approving your model, it’s vital that you overcome any resistance and get buy-in from the staff tasked with deploying it in the field. People naturally fear change, so work to build trust in your model.
“ML delivers a rocket, but those in charge still must oversee its launch.”
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