Potential effects on the economy, health, the world of work, society: we now hear about generative AI on a daily basis and everything suggests that interest in this subject will intensify in the months to come.
A study conducted by McKinsey (“ The Economic Potential of Generative AI”) in June 2023 shows that up to 75% of the value that the use of generative intelligence could offer is directed towards four areas, including marketing and sales.
Ability to generate creativ ghana phone number data content, support for customer interactions, but not only: let’s try to better understand the real impact that generative AI can have in the relationship with the customer.
But let’s proceed in order.
- Generative AI: What it is and why it matters
- Trending Customer Experience: Evolution in the Name of AI
- Beyond Content: Generative AI and Customer Experience
- Artificial intelligence and customer experience: generative or conversational approach?
Generative AI: What it is and why it matters
The term “generative AI” refers business will refund your entire order to a type of advanced artificial intelligence that goes beyond automating tasks and solving complex problems and calculations, because, through the use of machine learning and deep learning techniques, it is able to generate new content .
Text, images, audio and video content: Generative AI models learn from existing content to generate new content, starting from a simple text input (prompt) in which the user describes what they want.
ChatGPT is, without a doubt, one of cob directory the best known tools that use generative intelligence to create new content, but there are many others such as DALL-E and Dream Studio for image generation.
As we can well understand, the effect due to the use of generative artificial intelligence models and tools is truly disruptive , so much so that it has important consequences in many areas. Obviously, the risk is always just around the corner and one of the biggest problems related to generative AI comes from its inappropriate and uncontrolled use (deepfake).
Trending Customer Experience: Evolution in the Name of AI
In a context where artificial intelligence is evolving rapidly, becoming more and more part of our daily lives (think of the rapid diffusion of ChatGPT), models and tools related to customer experience are adapting quickly, so much so that it is precisely in the relationship between brand and customer that AI applications are most widespread.
An interesting white paper published by CoreMedia (“ Navigating the Future:
Maximizing the 7 Key Customer Experience Trends ”) reports how artificial intelligence and generative AI will have a significant impact on strategies aimed at improving the customer experience, so much so that they will be the most effective “weapons” that companies will have to stand out in an increasingly competitive market and context.
Here are seven trends to watch in 2024:
- immersive customer experiences through the use of augmented reality and virtual reality technologies;
- greater conversational interactions through the use of chatbots and virtual assistant programming;
- automation of services and processes in the areas of customer service and customer support;
- creating more relevant content based on users’ interests and expectations for more effective customer engagement activities;
- personalization of the customer experience throughout the user’s customer journey and at each touchpoint;
- seamless and seamless customer experiences from a cross-channel and cross-device perspective by creating holistic, real-time, unified customer views;
- Technological evolution in the name of “humanity” to enable businesses to instill empathy and create emotional resonance in customer relationships.
Beyond Content: Generative AI and Customer Experience
If in the field of marketing, the creation of new content is the use of AI that, for the moment, has had more followers, the investments that are being made suggest that this will not be the only area of use .
In particular, generative AI is expected to have a positive impact on many aspects of the customer experience beyond content generation.
