Abstract: Customer segmentation is a method that uses un- supervised machine learning to segment customers by common characteristics, behaviors, and wants. This technique enables companies to market ...

Forbes contributors publish independent expert analyses and insights. Randy Bean is a noted Senior Advisor, Author, Speaker, Founder, & CEO. How does a venerable American brand known for creating the ...

Customer data platforms (CDPs) first gained popularity among marketing users as the technology tackled the marketing function’s complex customer data management challenges. These challenges included ...

Abstract: We live in a world where huge amount of data is collected daily. Analyzing such data is an important need. For example, businesses often struggle to recognize their potential customers; to ...

Purpose: Brain tumor segmentation with MRI is a challenging task, traditionally relying on manual delineation of regions-of-interest across multiple imaging sequences. However, this data-intensive ...

The current Segmentation machine learning code uses TensorFlow 1 which is incompatible with Python 3.11 needed by other software packages. The thing to do is to replace TensorFlow with PyTorch since ...

Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...

Smarter segmentation starts now. AI connects scattered customer data to allow more precise, real-time audience targeting across every channel. Online meets offline. Linking digital behavior with ...

Machine learning (ML) is a subset of AI where a system learns patterns from data and makes decisions without being explicitly programmed for each outcome. In software development, this technology ...