>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.
Insurance companies don't run their business like the marketing examples for low code environments.
They employ lots of highly qualified people with a range of skills across math/statistics/economics/legal/programming areas. Writing basic python isn't the constraint.
Stats_Fast t1_ir29j0m wrote
Reply to comment by bilby_- in [discussion] Is the future of ML development in low code tools? by bilby_-
>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.
Insurance companies don't run their business like the marketing examples for low code environments.
They employ lots of highly qualified people with a range of skills across math/statistics/economics/legal/programming areas. Writing basic python isn't the constraint.