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The Synth
Commercial, critical and cultural perspectives, in between the virtual and physical
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“The ultimate goal here is however not art itself. It is to curate this tiny world of obscure artists with the power to liberate the source code of reality & directly communicate the underlying truth without use of jargon or symbols w/ beauty the vehicle and reality its payload.” — Eric Weinstein (Tweet lifted from: 01/12/2019).

In my previous article I gave an overview of the different elements required for building a simulation model, integrating in with data and presenting the output in and an accessible manner. I referred to this as a…

Simulation intelligence draws on the combined skills of strategists, data scientists, data designers, game designers, interaction designers and software engineers in order to “Optimise the ways that people observe, analyse and predict the physical world”.

But what might simulation intelligence look like in practice?

The diagram below shows my own simplified view of a “simulation intelligence pipeline”. This details the steps of building a simulation model and integrating it with real data in order to obtain a “synthetic reality” which mirrors the key aspects of some system (e.g. the weather or the economy). This view is simplified and allows for modifications in order to suit different applications. The individual components in this diagram are all entire disciplines in themselves so there is no way to treat them in a single article (perhaps not even in a single book!).

A key element missing from this…

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Technological developments such as connected sensors and computer vision are opening up new ways to gain insight about the world.

But traditional approaches to business intelligence — all those spreadsheets and dashboards — are not equipped to handle today’s high dimensional data.

At Parallel, we’re pioneering a new approach that we call Simulation Intelligence. It’s about optimising how you observe, analyse and predict the world.

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