There’s a rumble in the Automotive Industry. A survey of automotive industries stakeholders, conducted by Jabil, showed that automotive companies are shortening product development timelines to meet new market requirements. The automotive industry has undergone a number of industry-shifting developments over the past several years. The introduction of electric vehicles and the continued development of ADAS technologies are leading these transformations. We’ve seen new challengers in the automotive industry popping up, and rapid innovation within leading automotive companies.
National Instruments will be hosting their annual customer conference and partner showcase, NIWeek 2019, this year from May 20-23 at the Austin Convention Center. NIWeek draws engineers from across the transportation, aerospace, medical device industries and many others. There are also a fair number of members of the academic community rounding out the crowd. It is a hub of activity for Viviota customers and partners and a busy time for our team. We were delighted to find out in January that Viviota will be presenting two of the conference technical sessions:
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.
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.
This year at NIWeek in Austin, Texas, I had the privilege of presenting on five killer mistakes companies make when embarking on “big data” and Industrial Internet of Things projects. In it, I also talked about how the world is turning to NI technology to allow sensors and instrumentation to better measure and analyze machine data. It turns out, sensor data does not always work well with traditional IT software, and there is a distinct lack of software tools in this area.
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.
I have been around a long time and I remember many years ago, when I was at IBM, the big buzz word was "Open Systems". This really was code for buy anything that is not made by IBM. In fairness it was the beginning of the rise of Enterprise Unix and the push for standards so customers would not be locked into a single vendor. There was a cynical saying one of my customers use to say that made me laugh. "Anyone with an open mouth has an open system".