Machine Learning is a cornerstone of modern artificial intelligence applications in business - using algorithms and statistical models to analyse and learn from data without needing explicit instructions.
There are two types of machine learning approaches - supervised and unsupervised learning. Supervised learning requires human labelled datasets and learns from patterns between the distinct labels. Unsupervised learning on the other hand discovers patterns without any human direction.
Machine learning applications are typically focused on either classification or regression based problems, that is either predicting what type something is (Spam or Not Spam) using categorical data - or predicting a numerical output value (median house price in 2026 using continuous data.
Common business applications of machine learning technology include recommendation engines, sentiment analysis, dynamic pricing and logistics optimisation. All of these can help improve customer experience, boost engagement and increase profitability.
Chat to Wallace Corporation about integrating machine learning to your business today.
Machine learning is a very powerful tool that can help improve business efficiency and free up employee resources. It is best suited for tasks that categorise a type of thing or predict a numeric output value from given data inputs.
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