A lot of companies now offer machine learning development, but there seems to be a big difference between building an ML model and actually putting it into a production environment.

For an enterprise project, things like data quality, integration with existing systems, model performance, scalability, and ongoing monitoring can become just as important as the model itself.

For those who have experience with ML projects, what separates a strong machine learning software development company from a general software development provider?

Is it technical expertise, experience with similar use cases, post-deployment support, or something else?

A lot of companies now offer machine learning development, but there seems to be a big difference between building an ML model and actually putting it into a production environment. For an enterprise project, things like data quality, integration with existing systems, model performance, scalability, and ongoing monitoring can become just as important as the model itself. For those who have experience with ML projects, what separates a strong [machine learning software development company][1] from a general software development provider? Is it technical expertise, experience with similar use cases, post-deployment support, or something else? [1]: https://appinventiv.com/machine-learning-development-services/