The Future of the Automotive Industry through Digitalisation

The next 20 years promise unprecedented change. The IDE roadmap will maximise opportunities offered by new technology transitions and set a course to advance the automotive industry through digitalisation.

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Seven vital action power up combos

The power up combos below are designed to help organisations prioritise efforts towards digitalisation. They offer a clear route into the roadmap as a whole and highlight where to start for each of the 7 business types identified.

CA

CLOUD TRANSFORMATION – SaaS, PaaS, XaaS

MS

DYNAMIC SUPER SYSTEM

GO
VVV

VIRTUAL TEST BED

MS

DYNAMIC SUPER SYSTEM

LC

“DIGITAL FIRST” APPROACH

PU

EDGE AND FOG COMPUTING

VC

VIRTUAL TEST BED

Supported by industry peers

“Digitalisation is a critical part in designing and delivering the future products and services we need to deliver sustainable prosperity. The roadmap gives us a rich and insightful route to get there and crucially a framework for industrial, technology and academic organisations to collaborate and innovate to make it happen.”

Chris Courtney, Challenge Director Manufacturing Made Smarter – UK Research and Innovation

“Team, thank you for the tremendous work to create this roadmap and lead the discussion. I’m really excited with what you are creating – and how we can use it to unite the industry, big and small – through collaboration.”

Dr Graham Hoare OBE. Chairman Ford of Britain.

“A real treasure trove of information, which details the requirements for industries to move forward in the age of digitalisation”

Andy Stanford-Clark, Chief Technology Officer. IBM

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DATA D MODELLING & SIMULATION MS AUGMENTED INTELLIGENCE AI OPTIMISATION O VISUALISATION & IMMERSIVE VI INTEROPERABILITY I DIGITAL TWIN DT DATA CURATION AND RELIABILITY OF DATA CAPTURE AND INGRESS AUTOMATED DATA INTERPRETATION RESILIENT SYNTHETIC DATA GENERATION MULTI-DISCIPLINARY PARAMETRISED M&S INCLUDING S/W AND H/W INTERACTIONS INCREASED FIDELITY, REAL-TIME MODELS AND CO-SIMULATIONS DYNAMIC SUPER SYSTEM ML COUPLED PHYSICS MODELS AND DATA ANALYSIS UNSUPERVISED ML MODEL EXPLORATION AND KNOWLEDGE EXTRACTION GENERATIVE SUB SYSTEMS GENERATIVE SYSTEMS PRODUCT AND PROCESS OPTIMISATION AT SUBSYSTEM LEVEL MULTI DISCIPLINARY ANALYSIS AND OPTIMISATION (MDAO) OF FULL SYSTEM SELF-CALIBRATING SYSTEMS ON-DEMAND VISUALISATION TOOLS AND TECHNIQUES FOR COMPLEX DATA INTERPRETATION AND DECISION MAKING REAL-TIME INTEGRATION VISUALISATION AND IMMERSIVE TOOLS & TECHNIQUES FOR HUMAN-SYSTEM INTERACTIONS LEGACY DATA AND MODELS INTEROPERABILITY WITH NEWER SYSTEMS THROUGH UNIFIED ONTOLOGY AUTOMATED DATA AND MODELS FUSION DYNAMIC WHOLE DATA AND MODELS LIFECYCLE GOVERNANCE AS MAINTAINED SUB-SYSTEM TWINS AS MAINTAINED WHOLE SYSTEM TWINS SUPER SYSTEM ENGINEERING OF WHOLE ENVIRONMENT DIGITAL ENGINEERING ENVIRONMENT 2020 - 2025 2025 - 2035 2035 - 2040 POWER UPS PROCESS & ASSURANCE

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