The contents of cultural heritage represent a largely untapped treasure, which in the analog age was accessible only to a limited group of people or existed within their awareness. However, due to the ongoing digital transformation, numerous barriers are being dismantled in terms of accessibility, evaluation, and utilization. Through the utilization of cutting-edge AI-based technologies, it becomes feasible to meticulously visualize these contents, extract and analyze embedded information, and ultimately interconnect them as desired. Previously relevant factors such as foreign languages and handwritings are now rendered insignificant, as technology can proficiently recognize and translate these elements (e.g., translation, HTR, image recognition), thereby converting them into comprehensible data – resulting in the Big Data of the past. Standard AI methodologies offer several avenues for enrichment and exploration, including Handwritten Text Recognition, Symbol Recognition, Image Similarity Search, generating captions from images (utilizing CLIP – Contrastive Language-Image Pre-Training), and applying ChatGPT to textual content descriptions. The objective of this discourse is to delve into the application and potential of AI within the realm of cultural heritage systems.