Although various museums are still using traditional approaches to manage their operations, many are now retrieving and analysing quantitative data to improve their services. They typically use standard metrics like visit frequency, people location, and demographic to manage their visitors’ flow, their interaction with the art pieces, and understand which rooms are more visited. They also analyse qualitative data such as dialogue or open questions to expand visitors’ access to the collection, transform their engagement, or personalize their experience.

1. Visitor Flow Management

While some museums are using visitor surveys to develop their audience, others are relying on artificial intelligence to attract new people into their building. They gather data from multiple sources to monitor and predict peak times for specific periods. This is possible with the use of digital sensors placed at different locations to track movement and record people behaviour within or outside the museum. Once the data is captured, they use complex algorithms to forecast visitor flow, which is then used to optimise their operations. That way, museum’s managers can assign the right resources or tailor their activities or exhibitions to meet the forecasted demand, improving visitor journey. For example, the British Museum is using an AI-powered system to manage visitor flow and reduce wait times. It analyses data from ticket sales, weather forecasts, and peak periods to predict attendance and adjust operations.

2. Viewer Perception

Not long ago, museums had difficulty finding out how people experience their exhibitions in terms of the routes they take, the art pieces they engage with, the ones they ignore, and the time they spent in each room. Now, they can track visitors in real time and analyze location data to understand their behavior and preferences. Small cameras installed beside the artworks capture the reaction of viewer including their facial expressions, posture, and distance from the object. The information gathered is digitized and then analyzed through big data AI processes. Curators use the results to determine which artworks are most viewed or which have most affected people. They can also understand how many viewers appreciate a given work, or the path taken to approach that work. This will help them figuring out the best way to optimize their visitors’ experience and recommend guided tours, for example.

3. Accessibility Expansion

Chatbots and virtual assistants provide meaningful real-time support, answering people’s questions and queries. They use data gathered through a variety of interactions to better predict answers or provide more accurate information. The more data they receive, the more effective chatbots will be. Some museums are using chatbots to improve their visitors’ experience by offering personalized insights into the collections or answering questions based on their location within the exhibition. Whether the museum is opened or closed, people can still get the same level of assistance on specific exhibitions or artists. Other museums are activating their chatbots to ensure the visitors will have a funny and educational experience. Visitors can activate the virtual assistant to explore the museum via a game or trivia available at specific places, allowing them to discover other areas of interest.

4. Collection Management

Curators are generally responsible for writing descriptions of museum objects, generating keywords that will be used to query the collections. However, AI's ability to process vast volume of data can make the collection more accessible, revealing unexpected connections between artworks. It could enrich the narrative around the artwork by linking related artifacts, historical contexts, and cultural depictions. Curators would validate and guide this process, ensuring that the technology produces meaningful results. These capabilities could even go beyond the museum walls. Some collaborative platforms such as Wikidata serve as critical tools for museums to share their collections with global audiences. By contributing to these platforms, museums can ensure their narratives reach diverse communities and address longstanding Western biases in cultural representation.

5. Security Enhancement

A key challenge for museums lies in enhancing their security posture. In general, they protect their collections behind thick glass, equip their rooms with cameras or alarm systems, and check people at the building’s entrance. They need to maintain a high level of security since they are handling valuable and important artworks. Today, the use of surveillance systems powered by AI is improving the safety measures of museums. These systems apply complex image and video analysis programs to identify unusual behavior, prevent security breaches, and alert security personnel. They also provide real-time monitoring and threat detection to fight against theft and vandalism. For example, technologies such as facial recognition and movement detection are useful against known offenders or behavior patterns, allowing museums to mitigate potential threats.