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

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 ...

Tulasi Naga Subhash Polineni is a seasoned Oracle Cloud Integration Specialist with over 11 years of experience in applying ...

That type of segmentation is clearly amenable to supervised learning, and we shouldn’t ignore any tool we have.

Leaders across various industries are turning to machine learning to gain valuable insights and make informed decisions.

Customer churn prediction and segmentation have emerged as pivotal areas of research and practice, given their substantial impact on revenue protection and strategic customer management.

84% of marketing organizations are implementing or expanding AI and machine learning in 2018. 75% of enterprises using AI and machine learning enhance customer satisfaction by more than 10% ...

How 3 Chicago Companies Use Machine Learning to Optimize the Customer Experience To get a pulse on how machine learning helps optimize their products and ultimately provide a better experience for ...

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