Market segmentation ... the market segments? The customers don't even know which segments we have placed them in. How can they segment themselves? Well, they can. Models can be created that ...

As the "black-box" problem creates challenges for AI, explainable AI can help reshape business-to-business operations by ...

The modern business landscape is evolving rapidly, with new challenges and opportunities shaping the way entrepreneurs build and scale their ventures. In 2025, success requires a combination of ...

A Tesla customer found out the hard way. Furious because the automaker "failed to deliver what I paid for," he shared his experience with a pre-used Model Y on the internet. He finally got the ...

because recovered long-term customers can be worth much more to a company than newly recruited clients. Predictive analytics use churn prediction models that predict customer churn by assessing their ...

Abstract: Online reviews are increasingly crucial as a data source for companies to understand consumer opinion. This study evaluates the impact of text segmentation on the accuracy of pre-trained ...

Unpack the secrets of next-gen marketing with Jim Lecinski, delving into AI innovations, Gen Alpha insights and omnichannel success.

Effective marketing strategies depend on understanding your audience and their needs. B2B marketing (business-to-business) and B2C marketing (business-to-consumer) represent two distinct approaches, ...

Before digital technology and the internet, all B2B firms were limited in how they could reach customers. For the most part, they only appeared where customers would be looking for them - small ...

In this paper, we propose a novel conditional diffusion model with spatial attention and latent embedding (cDAL) for medical image segmentation. In cDAL, a convolutional neural network (CNN) based ...