Many traditional marketing analytics and personalization methods use predictive modeling to score customers. For example, customers can be scored according to their probability of churning or ...

An algorithm (a word that broadly refers to flowchart-style rule sets) is considered opaque if it uses a certain kind of data that some people don’t realize they’re providing. It’s ...

What’s more, emerging evidence suggests that personalization algorithms may hold key insights to creating commonality, and even break down filter bubbles—at least under certain circumstances ...

Personalized Algorithms & Inspiration to Find Relevant Content “Personalization algorithms can inspire users to not only find what's relevant to them, but also discover new types of content or ...

The brands that will thrive in the age of AI are those that understand trust is not just a feeling—it’s a measurable performance indicator and must be operationalized.

Two years ago, I went into rant mode, declaring that Algorithms are undermining the customer experience, and (most) companies don't care.Nothing has changed. But I should have also pushed back against ...

Personalization has become a cornerstone of digital interactions, influencing how businesses and platforms engage with consumers. However, traditional models often fall short of dynamically ...

And that’s how we developed the ‘doctor algorithm.’ It’s a graph of medicine that looks at how illnesses relate to age, lifestyle, or gender. For example, what is fever plus asthma, plus ...