I work in a big mobile games company, and we have a scenario in which we have 3-4 models in production providing measurable lift in KPI's, and now we would want to scale the use of technology across the entire org.

Yes. Fixed it, thanks

When would one rather use wordpress and when not ?

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Low code tools can enable people who only know sql (some kind of analyst), to spin up and run a ML pipeline.

and if you look at tools such as dataiku and datarobot, they also allow the use of python to build more customized pipelines.

For example an insurance company can leverage a low code tool plus an analyst to test models such as predicting the probability for every elderly customer to buy life insurance and or for every young customer to purchase car insurance. The two inputs to the tool would be a population and target sql query. reading and writing to your dwh.

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generally in the data science world you have personas who are more technical or less. more technical can leverage docker, kubeflow, cicd etc. others work with jupyter notebooks. and maybe in the future only sql.