Solving Business Problems With Technology

Solving Business Problems With Technology-23
Using a platform called Metis, Dorchester Collection parses, summarizes and contextualizes reviews in order to gain insights, plan next steps and maintain a competitive advantage.The Problem: Creating Messaging That Resonates With Users What patients say in a clinical setting is different from what they say behind closed doors -- or in the anonymity of the internet.

Using a platform called Metis, Dorchester Collection parses, summarizes and contextualizes reviews in order to gain insights, plan next steps and maintain a competitive advantage.The Problem: Creating Messaging That Resonates With Users What patients say in a clinical setting is different from what they say behind closed doors -- or in the anonymity of the internet.

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These are practical, pragmatic, replicable efforts. It's not intended to be a comprehensive list but instead a group of examples of “right-sized” projects.

But this is exactly the sort of situation where AI shines.

For example, luxury hotel operator Dorchester Collection is using AI to monitor its own and competitor reviews to identify genuine guest needs.

Rather than letting this data sit untapped, VOZIQ made use of it.

It integrated AI to analyze post-call comments, categorizing them by topic and flagging sentiment scores that indicate customer dissatisfaction and the likelihood of churn.

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