Among the algorithms that are convenient for customer segmentation is k-means clustering. K-means clustering is an unsupervised machine learning algorithm.

Machine learning attitudinal segmentation presents pharmaceutical companies with a powerful new opportunity to crack the traditional code and gain ever-more precise insights to engage customers. Tahel ...

Machine learning-powered CDPs can make marketers’ jobs easier by enabling advanced segmentation on a cleansed, deduped, stitched master customer data set — allowing them to effectively use ...

Now machine learning is becoming democratized and, as a result, is not only impacting every day analytical programs (e.g., analytical segmentation, modeling and optimization,) it is also being ...

High-performing marketing teams and the CMOs lead them to invest in AI and machine learning to improve customer segmentation. They're also focused on personalizing individual channel experiences.

Intelligent machine learning applications can be used to increase the outcomes of digital marketing implementations. Five applications that will help.

Below are some instances to illustrate how machine learning can be put to use to analyze big data: • Carrying out market research and segmentation.