We are able to leverage our knowledge of mathematics, software development and machine learning engineering, however we need our client’s help as the subject matter expert in their business to build a successful AI/ML solution.
Once you are able to tackle these types of automation projects, you should be able to calculate the ROI by hours saved or increases in efficiency. This will also give you a good sense of the processes involved in order to automate and apply Machine Learning.
From there, you can expand the scope of your automation efforts. Maybe you started out only automating 40% of your data entry, now you can look at how to get that number to 60% or higher. Or perhaps you successfully automated part of your workflows in one line of business, now you can repeat the process in other departments.
These are all great ways to get started with implementing automation within your organization. From there, you can start to look at more advanced AI/ML solutions like predictive modeling, advanced analytics and using Natural Language Processing (NLP) for unstructured data.