Machine learning integration depends entirely on the stability of the process and the improvement that can be achieved by analyzing vast amounts of ever-changing data and making the necessary adjustments. Writing small, standalone data science scripts in Python to incorporate machine learning is possible even for small businesses that may have only a few employees with the necessary proficiency in mathematics and programming.
However, embedding machine learning and data science scripts into the daily workflow of large numbers of employees requires the resources to maintain a production-grade infrastructure. Small business can experiment using commercially available platforms like BigML as a way of validating the improvement potential in order to make informed choices about the return on investment from building their internal competencies in this area.
