“In the past, when you wanted to test a new product, you had to build a physical unit,” AWS CEO Adam Selipsky said as he introduced TwinMaker during his AWS re:Invent keynote address. Now, companies can build a digital twin, but that requires “teams of specialized developers and a lot of heavy lifting,” such as bringing in data from different sources, mapping the relationships between the data and combining it with 3D modeling. IoT FleetWise makes it easier and more cost effective for automakers to collect, transform, and transfer vehicle data in the cloud in near real time. Customers can use it to collect and standardize vast amounts of data from millions of vehicles. By applying intelligent filtering capabilities, FleetWise finds relevant information and drastically reduces the volume of data being transformed. With the data in AWS, customers can then perform tasks like remote diagnostics and analyzing fleet health. Automakers start in the AWS Management Console by defining and modeling vehicle attributes and the sensors associated with the car’s model, trim, and options (such as engine temperature, front-impact warning, etc.) for individual vehicle types or multiple vehicle types across their entire fleet. Then, automakers install the AWS IoT FleetWise application on the vehicle gateway (an in-vehicle communications hub that monitors and collects data). Automakers build data collection campaigns to select only the exact data they need for their use cases.
