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Artificial Intelligence (AI) has revolutionised the tourism industry, offering personalised experiences and streamlining operations. AI provides customised recommendations for travellers through data analysis and machine learning, making their journeys more meaningful. It has also improved efficiency through automated processes, chatbots and enhanced security measures. AI's ability to analyse large volumes of data enables tourism organisations to make data-driven decisions and target their marketing strategies effectively. One of the most notable contributions of AI in tourism is its ability to offer personalised recommendations. By analysing vast travel history, preferences and online behaviour, AI systems can provide tailored suggestions for destinations, accommodations, activities and dining options. This level of customisation enhances the overall travel experience, making it more relevant and satisfying for individual travellers. AI has also greatly improved operational efficiency within the tourism sector. Chatbots, powered by natural language processing, are increasingly being deployed by hotels, airlines and travel agencies to provide instant customer support and assistance. These chatbots can answer queries, offer recommendations and handle booking processes, reducing waiting times and enhancing customer satisfaction. In addition, facial recognition technology allows for quick and accurate identity verification at airports, hotels and other travel-related facilities. This improves security and provides travellers with a seamless and efficient experience. As technology advances, we expect AI to play a more prominent role in augmented reality, voice recognition and virtual assistants, further enhancing the travel experience and facilitating seamless interactions. In conclusion, AI has transformed the tourism industry by providing personalised recommendations, improving operational efficiency, enhancing security measures and enabling data-driven destination management.

Innovation originally meant ‘change’ or ‘renewal’. Over time, it became associated with creating new products, methods, materials, markets, and forms of organisation. Today, in everyday language, innovation is used as a much broader term that encompasses non-materialistic, non-economical ideas such as social, educational, philosophical, political, environmental, or spiritual innovations. What makes something innovative is subjective and depends not only on the perceived novelty of the content but also on the co-constructed meaning of what is possible or what it changes in our lives. Therefore, innovation leaders must also become experts in co-constructing meanings with their teams. In this chapter, a structured solution-focused framework will be introduced with the intent to support innovative teams in maintaining effective team dialogue, foster more innovative team collaboration, better innovations, or an improved innovation process. In fostering an interactive and dynamic team process, solution-focused leaders engage in deliberate interactions that often initiate a positive dynamic leading into an even more innovative future.