This is a brief overview of some of the more important trends in generative AI likely to lead off the year, focusing on impacts and opportunities.
1. Hyper-Personalization
Hyper-personalization is the most visible trend of generative AI. Advanced algorithms and new language models allow AI to create very personal experiences based on preferences and behaviours that are typical for individuals. It is especially visible in areas like ecommerce, entertainment, or education - all the things that can involve a user through personalized recommendations and tailored content.
For instance, learning platforms use generative AI to come up with learning paths uniquely tailored to the progress and requirements of each learner. A similar example can be seen in streaming services that have been implementing AI to supply content recommendations based on viewers' habits, thus keeping a viewer glued and satisfied longer.
2. Conversational AI
Conversational AI will transform customer service and support interfaces because it makes interaction more human-like and effective. Due to advances in NLP, AI virtual assistants and chatbots are also learning how complex it is to question and respond appropriately. The general nature of the customer experience will improve across verticals because of this trend.
According to Gartner, by 2028, conversational user interfaces, generative AI, and multilayered technologies will dominate customer service at scale. It will satisfy customers but also will minimize business operation costs.
3. Multi-Modal AI
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