CLOUD-BASED MANAGEMENT OF ART INSTITUTIONS USING AI

Abstract

In the digital era, the cultural and creative industries have seen the emergence of new opportunities that have opened the door to improving the efficiency and sustainability of the art institutions. The paper considers the creation and implementation of cloud-based management systems in conjunction with artificial intelligence (AI) for the purposes of enhancing operational, curatorial, and administrative performance in the art institutions, including museums, galleries, and cultural centers. With cloud computing, businesses would be able to store their data in one place, enable scientists and other collaborators to collaborate outside of the institution, with archives and exhibitions as well as visitor analytics accessible in real time and securely. The fusion of AI results in intelligent automation, which manifests itself, for example, in the cataloguing of the artwork, predictive maintenance of the collections, visitor engagement through recommendation systems, and data-driven resource distribution decisions. It also discusses how AI-powered analytics can help curators and managers to better understand the behavior of the audience and predict their visit patterns, as well as to personalize digital experiences. It will be based on the effectiveness evaluation of the system through a mixed-method methodology: case studies, system design and user feedback analysis. It is expected that the findings will demonstrate that the combination of cloud technology with artificial intelligence can contribute to simplify institutional management as well as their capacity to be more welcoming, sustainable, and inclusive with regard to the arts sector. Finally, the paper contributes to the debate on the digital transformation of cultural management and proposes a comprehensive framework of AI-based cloud-based management of art institutions which can be commoditized.

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