As machine-learning algorithms grow smarter and more organizations come around to the idea of integrating this powerful technology into their processes, it’s high time your enterprise thought about putting machine learning to work, too.
It’s quite likely that your business could leverage the benefits to employ machine learning, whether it’s taming apparently infinite amounts of unstructured data or finally personalizing your marketing campaigns.
One of the best-known use cases for machine learning is processing data sets too large for traditional data crunching methods to handle.
Using machine learning to automate routine tasks, save time and manage resources more effectively has a very attractive paid of side effects for enterprises that do it effectively: reducing expenses and boosting net income.
As with data processing, how you use machine learning for process automation will depend on which functions exert the greatest drag on your time and resources.
Machine learning has shown encouraging real-world outcomes when used to automate data classification, report generation, IT threat monitoring, loss and fraud prevention and internal auditing.
For example, many small and midsize enterprises use machine learning technology to predict and reduce customer churn, looking for signs that customers are considering competitors and trigger retention processes with higher probabilities of success.