MaaS

The ML models or machine learning models have been widely implemented across various industries for a specific business purpose in recent years and this trend is expected to continue in the future as well. As a result of this, a new set of challenges come to the fore. For eg: ML models will have to be tracked regularly to ensure that model's performance doesn't dip, if the ML model is tightly coupled with the application then there are chances of application getting impacted due to frequent changes to the models or in some cases additional data such as transactional, sensor or log data are brought in to improve the model's performance. One logical way to handle such scenarios is by de-coupling the model from the application. In web development, various components are developed and built independently as services and each of these services interact with each other sharing the data in the defined format.