Enterprise Information Management (EIM) has evolved over the past decade and is an accustomed component of every enterprise. It is seen by many in our ever-changing and fast developing IT world as a slow moving heavy dinosaur, based on on-premise solutions.
Industry 4.0, Internet of Things, Digitalization – those are all hot topics in today’s world. But what significance do they have for future added value in the automotive industry? In today’s post, I would like to concentrate on the topic „Digitalization“.
Authors: Stefan Pauly and Gerhard Kaucky Looking at the current hype around Digitalization we recognize the positions and arguments of two groups: One group is Sales and Marketing, CEOs and CMOs who reflect about the business value of Digitalization, about new sales and service channels, digitalized products, and – in general – renewed business processes.
What has Big Data been up to? Big Data has been a major topic in the IT realm for years. The terms Big Data and Big Data analytics are generally used to describe the potential for new insights into our environment by making sense of the rapidly increasing amount of information produced by the growing number of connected devices. But what is the bigger picture in the potential of Big Data in cybersecurity?
The next revolution in the automotive sector is digital with the prospect of autonomous driving in the distant future. Two worlds converge. One of short product lifecycles and rapid innovation, and one of longer planning periods on modest innovation. Today’s cars may have up to 100 electronic control units (ECU) with multilayered runtime environments, multi-source software, multi-core CPU’s and million lines of software code, connected by controller area network (CAN) that steer everything from engine electronics to entertainment systems.