Jeff Fletcher shows four patterns for productionalizing Machine Learning models, as well as some things to take care of once you’re in production:
This option is sometimes considered to be real-time as the information is provided “as its needed,” but it is still a batch method. Using our telco example, a batch process can be run at night that will make a prediction for each customer, and an operational database is updated with the most recent prediction. The call center agent software can then fetch this prediction for the customer when they call in, and the agent can take action accordingly.
Read on for more.