how-generative-ai-is-revolutionizing-travel

Artificial intelligence has been common for a while in many industries, including travel. Typically, it's seen in predictive technology with algorithms that draw conclusions based on large data sets to output recommendations. In travel, predictive analytics is used to provide personalized recommendations for hotels, flights, and other services. Predictive models are beneficial for both travel providers and their clients because they can efficiently find and compile the most relevant options from the massive amount of alternatives with far less time and effort than doing so manually. Hopper is an excellent example of making the most of this technology.