The emergence of smarter cars means automotive companies are looking for smarter ways to work. And they know getting there requires new efficiencies in their existing design and development processes.
How One Major Automotive Company Extracted More Knowledge from Test Data
Topics: Engineering Data, Big Data, Analytics, IIoT, Sensors, automotive industry
Whichever your team, Mercedes, Ferrari, Red Bull or one of the other elite F1 teams, the U.S. Grand Prix in Austin on Sunday was amazing to the end. Verstappen, of Red Bull, passed Raikkonen, of Ferrari, on the last lap. He would have had a podium position, third, but his pass was disqualified for leaving the track. Max Verstappen placed fourth by mere meters. Lewis Hamilton of Mercedes AMG placed first, Sabastian Vettel of Ferrari, second, and Kimi Raikkonen, third. Verstappen is showing himself to be a very talented young driver.
Topics: Analytics, Sensors, F1, COTA, U.S. Grand Prix
Who Said German Companies are Laggards in Applying Big Data?
I was struck by a headline in Dataconomy: “German Companies Are Behind on the Trend of using Data to Solve Business Challenges.” Headlines are a hook, but is there truth behind this statement? Well, no, I don’t think so.
Topics: Engineering Data, Big Data, Analytics, IIoT, Sensors, automotive industry