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Harnessing the power of AI will be key in 2023
Artificial intelligence is becoming the common thread in that will help auto companies lead, innovate and problem solve.With recession looming and uncertainty abounding, businesses are facing the same imperatives in 2023 as before: lead, innovate and problem solve. Artificial intelligence is becoming the common thread in accomplishing these goals.
Here are some predictions for the automotive industry for 2023.
Training AVs in the metaverse
The more than 250 automaker and truckmakers, startups, transportation and mobility-as-a-service providers developing autonomous vehicles are tackling one of the most complex AI challenges of our time.
It’s simply not possible to encounter every scenario they must be able to handle by testing on the road, so much of the industry in 2023 will turn to the virtual world to help.
On-road data collection will be supplemented by virtual fleets that generate data for training and testing new features before deployment.
High-fidelity simulation will run autonomous vehicles through a virtually infinite range of scenarios and environments.We will also see the continued deployment of digital twins for vehicle production to improve manufacturing efficiencies, streamline operations and improve worker ergonomics and safety.
Moving to the cloud
The year 2023 will bring more software-as-a-service (SaaS) and infrastructure-as-a-service offerings to the transportation industry.
Developers will be able to access a comprehensive suite of cloud services to design, deploy and experience metaverse applications anywhere.
Teams will design and collaborate on 3D workflows — such as autonomous vehicle (AV) development simulation, in-vehicle experiences, cloud gaming and even car configurators delivered via the web or in showrooms.
In-vehicle concierge
Advances in conversational AI, natural language processing, gesture detection and avatar animation are making their way to next-generation vehicles in the form of digital assistants.
This AI concierge can make reservations, access vehicle controls and provide alerts using natural language understanding.
Using interior cameras, deep neural networks and multimodal interaction, vehicles will be able to ensure that driver attention is on the road and ensure no passenger or pet is left behind when the journey is complete.
