Deep learning will be the driving force that propels connected and fully autonomous vehicles into reality. Whether you are an automotive manufacturer, supplier, technology firm, or any other player in the automotive value chain, opportunity is up for grabs. So how will you seize it?
Deep learning, an advanced form of artificial intelligence and a dynamic form of computerised decision-making, is driving significant change for autonomous cars and for the automotive and transportation industry. A new KPMG report projects that by 2030 a new mobility services segment tied to products and services related to autonomy, mobility and connectivity, will be worth well over $1 trillion globally.
The direct impacts of deep learning will revolutionise the nature of doing business for automakers. Deep learning is a critical enabler of building a self-driving vehicle that can operate without human intervention. Underlying those efforts is the need for the vehicle to “see”, “think”, “drive” and “learn”. It is through this last “learning” step where deep learning will be critical for achieving fully autonomous cars.
This report identifies the key developments for automakers to contemplate if they are to survive:
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