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Inspiratia InfraTech Takeouts

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Data can help shape the future<br />

of infrastructure<br />

listen back<br />

Listen here<br />

Sarah Hayes<br />

Senior Economic Adviser and New Technology Lead,<br />

National Infrastructure Commission<br />

The idea of a national digital twin was floated in the National<br />

Infrastructure Commission's Data for the Public Good report last<br />

year 2017.A digital twin is a computer-generated model of physical<br />

infrastructure and data networks in a city, which can be implemented<br />

to map an entire country.<br />

In this audio clip, the NIC's Sarah Hayes explains how the digital<br />

twin will improve the way we plan and use infrastructure, and what<br />

steps the NIC has taken to implement the initiative.<br />

Listen here<br />

Dr Olga Feldman<br />

Directory, Advisory and Strategic Modelling, Data<br />

Analytics, Arcadis<br />

The Internet of Things is a digital network of physical devices and<br />

assets which allows the collection and exchange of data.<br />

Billions of devices around the world are connected to the internet<br />

with the ability to make every aspect of modern life smart.<br />

With this in mind, Dr Olga Feldman ponders how the Internet of<br />

Things should focus more on the application of data and not just its<br />

collection<br />

Mark Enzer<br />

Chair of Digital Framework Task Force and Chief<br />

Technical Officer, Mott MacDonald<br />

David Pool<br />

Founder and Chief Executive, Mind Foundry<br />

Dominic Thasarathar<br />

Thought Leadership, Autodesk<br />

Listen here<br />

Machine learning is the ability for computer systems to learn<br />

independently, through the use of data and algorithms.<br />

For many in the industry, it may seem like a new concept, but it has<br />

been part of the infrastructure space for many years.<br />

David Pool defines the three types of machine learning and explains<br />

how the input of data is key in solving complex challenges.<br />

Dr Angie Ma<br />

Co-founder, ASI Data Science<br />

Artificial intelligence can perform tasks which traditionally only<br />

humans could carry out, such as identifying images and speech<br />

patterns.<br />

Listen here<br />

Raw data is the key resource of the modern age, allowing more<br />

accurate information to be collected which leads to better decision<br />

making.However, the value of data has yet to be quantified,<br />

with new business, procurement and commercial models going<br />

unrealised.<br />

In this extract, Mark Enzer looks at how data can be valued, and<br />

is joined by Dominic Thasarathar for a discussion on who should<br />

benefit from the monetisation of data..<br />

James Dean<br />

Co-founder and CEO, SenSat<br />

A technology which can capture and analyse high quality<br />

information in real time is a valuable asset for any sector.<br />

The technology underpins the ongoing revolution within the<br />

infrastructure space, allowing universal improvements to both<br />

understanding and application.<br />

However, while drones can and have carried out these tasks, the use<br />

of this technology is not universal in the infrastructure space.<br />

Listen here<br />

To that end, Dr Angie Ma outlines some practical examples of<br />

artificial intelligence, which has led to efficiencies and savings<br />

across the board.<br />

Listen here<br />

James Dean and Dominic Thasarathar explore the role of these<br />

flying robots, and say why there needs to be long-term investment in<br />

technology to truly unlock its benefits for the infrastructure sector.<br />

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