The voice assistant that gives facility management a refreshing appeal

The Museum of London stores the capital of England’s long history from its settlers to modern times and welcomes over one million visitors each year. To realize its vision of becoming a “smart museum” and making use of resources efficiently, once again in the summer semester of 2022, the Museum of London shakes hands with the University of Applied Science Munich students and works together on another project. Accompanying the museum on the way to achieving its goal, a group of ten students has teamed up and developed a solution to integrate the use of the voice assistant ALLRight into facility management at the museum.

The Vision for 2023

Committed to engaging more people and constantly transforming to be a “New Museum”, knowing exactly where and when a malfunction in the building occurs is of great importance for all stakeholders. Within the scope of the previous cooperation projects between the Museum of London and the student teams at MUAS (Andreas Meuser, Syed Muhammed Ali Raza, Tobias Kuch, Lukas Förner, Simon Meier, Richard Nefzger, Florian Kaiser, Daniel Eberhard, Mai Linh Tran, Florian Horder), the main goal always involved the efficient consumption of resources and maintaining the best environment not only for the visitors but also for the preservation of the historical artifacts.

Hurdles in the way

“Usually, when at work, I was constantly concerned about the museum’s condition. I could not quickly and easily get reliable information about the temperatures and humidities in the galleries. I wanted accurate, reliable, and valid information to know that everything was alright”, John, facility manager at the Museum of London said.” However, with ALLright I feel more confident at getting the information I need at any time. And all that can be done simultaneously while I am working on my desk!” However, facility managers at the Museum of London have been having difficulty in quickly finding out the state of the building. Due to various data points and limited access to these data, it involves an inefficient and time-consuming process to pinpoint the problems with the functionality of the building, as they have to check various systems or ask around to find out what is wrong. Instead of having to go through all these troubles, they want to be granted easy and quick access to insights into the building’s functionality, and the most convenient way to get the information they need is via a voice assistant.

Delivering a valuable solution to solve the client’s problem

The intuitive voice assistant ALLRight was developed as a “Skill” based on the foundation of Amazon’s infamous voice assistant Alexa. It answers the 8 critical questions about the condition of the buildings at the Museum of London and gives information about occurring technical problems. With the voice assistant, facility managers can conveniently get a fast and simple overview of the current state of the building. The special feature of ALLRight is the interaction between it and the user as the skill has been developed to be able to include personalization and naturally converse with users.

“The team has surpassed my expectation!”, the client from the Museum of London, Steve Watson – Technical Building Lead – and John Iaciofano – Facility Manager – are very thrilled about the development of the voice assistant ALLRight from the early days until the prototype is completed.

 “ALLright is an exciting game-changer, which makes accessing building information easy, fun, and reliable.  Managing buildings is all about decision-making and ALLright informs me quickly of the relevant information to support important decisions.  This app is a glimpse into the future of building management”, Steve said. He also added when asked about future implementation potentials, “I see a future where buildings become much better structured at the data layer and then voice assistants will have a very rich source of information and analysis available.  Then I see voice assistants becoming more adept at natural language and also having a back-end learning capability that improves with specific buildings, their datasets, and their interactions.”

Dieses Co-Innovation Lab Projekt wurde in Kooperation mit dem Digital Transformation Lab (DTLab) an der Hochschule München durchgeführt:
Das Digital Transformation Lab (DTLab) der Hochschule München widmet sich den großen gesellschaftlichen Herausforderungen unserer Zeit. Zusammen mit Akteuren im öffentlichen Sektor entwickeln Studierende zukunftsweisende Lösungsansätze. Hierbei werden sie von Amazon Web Services mit state-of-the-art Cloud-Technologien und der Innovationsmethodik Working Backwards unterstützt. Wir leben digitale Transformation.

Weitere Informationen über das Co-Innovation Lab und das Digital Transformation Lab (DTLab) an der Hochschule München:

Autoren: Mai Linh Tran