This chapter investigates the potential effects of digital, algorithmic, and data-driven technologies on the contemporary museum experience, documenting the sector’s shift from static repositories to dynamic, visitor-centered institutions. It demonstrates how tools such as multilingual virtual assistants, recommendation engines, and augmented reality guides have enabled museums to support linguistic and neurodiverse audiences and personalize interpretive journeys. Case studies—including implementations at the Louvre and Van Gogh Museum—illustrate how these innovations enhance cultural inclusivity, break down sensory and cognitive barriers, and deepen visitor engagement. The chapter also foregrounds the practical outcomes of these interventions, highlighting increases in visitor satisfaction and more meaningful interactions with collections. It critically examines the ethical dimensions of these technological deployments, with particular attention to privacy, informed consent, and algorithmic fairness. By situating these tools within a broader history of museum adaptation, the chapter argues for the centrality of inclusivity, transparency, and responsible design in the future of public-facing cultural heritage.