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Knowledge Base

Why Doesn’t “Data-Driven” Mean What You Think It Means customer ai data strategy

 

Walk into almost any enterprise today and you’ll hear the same refrain: we’re data-driven. The proof? Dashboards. Endless dashboards. Executives beam as they click through bar charts and pie slices...

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Artificial Intelligence (AI) customer ai glossary (a-f)

 

What is Artificial Intelligence? 


Artificial Intelligence is defined in the Masterclass as a prediction technology—a system that reduces uncertainty by estimating outcomes based on data. In CX, A...

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Why Do 90% of AI Initiatives Fail—and How Can Leaders Avoid This? customer ai implementation customer ai roadmaps

 

The AI hype cycle is relentless. Every year, budgets swell for “AI transformation,” yet most initiatives never deliver sustained value. Industry research estimates failure rates as high as 90%. The...

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How Can Companies Design Pilots That Show Results in 60–90 Days? customer ai implementation customer ai roadmaps

 

AI projects often collapse under their own weight—sprawling scopes, endless data prep, and months before the first result. By then, executives lose patience. The antidote is pilots that deliver vis...

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Machine Learning (ML) customer ai glossary (m-r)

 What is Machine Learning? 


Machine Learning (ML) is a subset of artificial intelligence where algorithms learn from data to improve predictions over time without explicit programming. In Customer A...

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Winner’s Circle (NPS) customer ai glossary (s-z)

What is Winner’s Circle?

The Winner’s Circle refers to the group of companies that consistently achieve high Net Promoter Scores (NPS) in competitive industries. They set the standard for customer lo...

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Why Is the Shift from Product-Centric to Customer-Centric So Difficult? customer centricity customer experience foundations

 

On paper, the move from product-centric to customer-centric sounds obvious. Products don’t pay you—customers do. Yet most companies remain organized around what they sell, not who they serve. The s...

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Peak-End Rule customer ai glossary (m-r)

 What is the Peak-End Rule?

 
The Peak-End Rule is a psychological principle stating that customers remember two key moments: the peak (best or worst experience) and the end of an interaction. These ...

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Voice of Customer (VoC) customer ai glossary (s-z)

What is Voice of Customer? 

Voice of Customer (VoC) refers to programs that capture customer feedback directly, usually through surveys, interviews, or feedback tools. It traditionally underpins CX p...

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How Can Sponsorship Solve Political Data Access Issues? customer ai implementation customer ai roadmaps

 

The biggest barrier to Customer AI projects usually isn’t technology. It’s politics. The data you need almost always exists somewhere in the enterprise, but it’s locked in silos — guarded by teams ...

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