Advanced digitalisation experiences directly with the key players
Higher education modules with international speakers
By University of Brescia
The Digital Talk Lab aim at offering to a selected audience the details on advanced digitalisation experiences in the industry. Workshops on specific issues, projected with the aim to study in deep the proposed theme and to allow audience to have an immediate and direct exchange of information and opinions with the speaker.
17, 18 and 19 October – Valzer Hall
Paid admission
Programme to be defined
17/10/2018 – from 3:00 pm to 5:00 pm
Client Organisations and Data Management
– High Speed Two
The Lab, held by Sonia Zahirodinny, aims to show how one of the leading European infrastructural customer, High Speed Two Ltd, come to completion of the railway work, in terms of expected costs and timing, also with all the information that allows an advanced and innovative exercise of the line and an offer of new travel experiences.
All this is possible thanks to a customer, that is able to design the data structures and to achieve them together with all the persons, which are involved in the initiative.
18/10/2018 – from 10:00 am to 12:00 am
Artificial Intelligence and Design Processes
– Buro Happold
The Lab, held by Alain Waha, aims to show how one of the largest engineering companies in the world, Buro Happold, intends to capitalize a significant number of practices, digitally managed, for using as best as possible computational data, also in order to promote efforts to introduce artificial intelligence into the design processes
19/10/2018 – from 10:00 am to 12:00 am
Building site 4.0 and Off Site
– University of Brescia
The Lab, coordinated by Angelo Ciribini, aims to show how to introduce systemically, digital solutions (computational) into the construction site, in order to make it cognitive, i.e., to use all data in it and generated for them, so that its management results less uncertain, manageable in real time and, partially, remotely.
The construction site 4.0, can generally be assumed that a specific intelligence can support semi-automatically the decision-making processes.
Technology Partner
