The automotive industry is working toward a revolutionary event, a truly autonomous vehicle—one in which a human driver is no longer required. To accomplish this, automotive companies have focused R&D teams, whose mission is evolving and growing onboard automated safety systems. Today onboard safety systems include features such as airbags and anti-lock brakes. For autonomous driving to become a reality, more dynamic safety systems are needed, for example collision detection/avoidance, and smart cruise control with vehicle-controlled lane changing.
Self-driving cars offer a safe, efficient and cost-effective solution that will dramatically redefine the future of human mobility.
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.
The complexity of the electric power industry creates enormous opportunity for Fortune 500 companies and promising technology companies. Increased energy demands, capacity limitations, environmental constraints, varying load shapes, distributed generation and the deployment of new smart technologies all come into play. While new technologies will be developed to build a robust and resilient 21st Century grid, this new grid is still in its infancy and will take years, most likely decades, to reach that utopia of which we dream.
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".