As artificial intelligence continues making news headlines in a variety of industries, GlobalData experts released statements from Volkswagen’s Data Lab team lead, Dr. Marc Hilbert about the risks and opportunities presented. In his statements, Dr. Hilbert addresses specifics relating to quantam computing in the automobile manufacturing sector.
“Security is definitely necessary. I think it’s very important specifically for Volkswagen because I think if you’re not compliant, if you cannot say that our things are safe, you will lose the trust of the consumer. So compliance is something that we are working on also with machine learning, and anonymization, so hiding your personal data within the car. So there’s nobody who can say that this is you, but we still have enough information to understand.”
Quantam computing is on the radar for many industry players as a potential emerging trend. Technology innovations and game-changers alike pose unique sets of challenges and potential solutions, and of course, associated risks.
“Traffic optimization is one of the use cases we’re looking at in terms of quantum computing. Because we think that quantum computing will be one of the emerging technologies which will have a big step in terms of machine learning, in terms of data analysis, and so on. And there are companies like D wave, IBM and Google, which tried to build the computer. So this is one aspect to actually get closer to a solution,” he adds.
“The Volkswagen group is coming from a different point of view. What we try to do is find problems in the real world. What we have today with our customers is traffic jams. We tried to translate this kind of questions in a way that a quantum computer can understand it. And we try to bring those two things together to identify aspects where we can use quantum computing in the next step. So this is our task in the data lab,” Hilbert concluded.
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