Artificial intelligence and customer experience: generative or conversational approach?
Posted: Wed Feb 12, 2025 8:46 am
When talking about artificial intelligence in the field of customer experience, it is worth noting how two different approaches can be deployed: generative AI and conversational AI.
Conversational artificial intelligence
If the first, as we have seen, mainly refers to the creation of new content, it is slovenia mobile database the second that has a crucial use especially in customer service services because its application is able to amplify and improve the service of operators.
In a context of improving and personalizing the customer experience, generative and conversational AI are two approaches that can be used in synergy to improve interactions with users and customers , both in terms of creating personalized content and in actual relationship management.
As the AI landscape continues to evolve, it is essential for businesses to choose technology solutions, such as Blendee, that enable them to maximize the benefits of using artificial intelligence and machine learning algorithms in the customer experience space, both in terms of advanced audience profiling and segmentation, as well as real-time personalization activities on-site and off-site.
Conversational artificial intelligence
If the first, as we have seen, mainly refers to the creation of new content, it is slovenia mobile database the second that has a crucial use especially in customer service services because its application is able to amplify and improve the service of operators.
In a context of improving and personalizing the customer experience, generative and conversational AI are two approaches that can be used in synergy to improve interactions with users and customers , both in terms of creating personalized content and in actual relationship management.
As the AI landscape continues to evolve, it is essential for businesses to choose technology solutions, such as Blendee, that enable them to maximize the benefits of using artificial intelligence and machine learning algorithms in the customer experience space, both in terms of advanced audience profiling and segmentation, as well as real-time personalization activities on-site and off-site.