Auf Messen und Events stellt T-Systems smarte Lösungen und Dienstleistungen aus seinem Portfolio vor.

Daimler EDM CAE Forum 2019

17-18 July 2019 | Stuttgart, Germany

The 13th Daimler EDM CAE Forum closed its doors on July 18 with around 5,000 visitors from Daimler and its suppliers. Thank you very much for your many visits to our booth! The information and interaction platform presented the latest technologies and innovations from the automotive industry. True to the motto "Communicate. Cooperate. Inspire." the Daimler EDM CAE Forum offered visitors over 100 contributions in the form of keynotes, lectures, best-practice examples and guided tours.

T-Systems as a major exhibitor

This year, T-Systems once again gave presentations, showed exhibits and gave insights into the world of digital engineering and connected mobility at the Daimler EDM CAE Forum. The focus was on the topics "Engineering of the Future" and "Build and Operate Ecosystems for connected vehicle services". In addition to relevant exhibition topics such as PLM Cloud, Systems Engineering, Security and Big Data, there were also two presentations by T-Systems and Telekom: On the first day, the topic 5G and Autonomous Driving was examined in more detail by Mr. Christer Neimöck (T-Systems expert for Autonomous Driving), on the second day Dirk Backofen (Head of Telecom Security) gave a presentation on ways of protecting the automotive ecosystem against cyber attacks.
The Daimler EDM CAE Forum was a great event - and the T-Systems team is glad to be part of this community. For T-Systems it was especially exciting to discuss the new trends and challenges in engineering for digitization, autonomous driving, 5G and security during these two days. Let's keep on talking about shaping the mobility of the future together!
Presentations by T-Systems at the Daimler EDM CAE Forum 2019
Autonomous driving touches every single aspect from engineering over production to operations of future fleets - combined with massive change in the business use cases of industry participants. Strategic moves include setup and operations of test environments, combining stakeholders across industries. Deutsche Telekom participates in such test fields across Europe - covering connectivity, platform operations for development, testing and simulation as well as business case assessments for cross-industry scenarios (e.g. integrated mobility, last mile logistics). 
Our project results indicate, that technology itself will not be the limiting factor to bring autonomous driving into broader scale usage. Existing communication technologies already enable the majority of use cases. 5G will push Cellular V2x communication with higher Quality of Service and Precise Positioning. Combined with Mobile Edge computing this is a good basis, but these technologies need to be integrated into a wider ecosystem.
The key requirement is the transfer of domain knowledge from existing systems integration and big data scenarios into Autonomous Driving Operation Platforms. Key topics are over-the-air updates, automotive-specific security and use-case specific monitoring across all components of Autonomous Driving.
The development of this ecosystem needs to be linked to the Engineering process itself – combining Digital Twins of vehicles with Digital Twins of their surrounding environments.
As we expect significant efforts for type approvals, on an ongoing basis instead of initial homologation. Integration and standardization efforts will increase. The mentioned components of Autonomous Driving ecosystems will become part of future operations platforms. The presentation will discuss existing project results and experience and will suggest an ecosystem approach for OEMs. The session is intended for both, business and technical stakeholders as it covers the end-to-end view.
Speaker: Referent: Jörg Tischler, Vice President Connected Mobility, T-Systems International GmbH
Vita: Jörg Tischler has been working at T-Systems for the past two years, currently holding the position of VP Connected Mobility. He leads the customer projects for CASE topics (connected car, autonomous driving, shared and e-mobility). His additional responsibilities include the worldwide delivery for OEMs, suppliers and logistics providers, portfolio development, developing the innovation agenda for Connected Mobility. Before joining T-Systems Jörg Tischler fulfilled executive and leadership roles at Hewlett Packard and DXC. He holds a Master degree in Business Administration.
Keynote ID V89 (17.07.2019) 5 pm, room C1.1
No future for Automotive Industry without Security? Security has to become an inherent part of cars and the “automotive digitization” – on the one hand as multiple connected devices and interfaces as well as the backend services. In addition, the Automotive Industry will need long-term partnerships in order to manage higher Security requirements as well as increasing complexity to be able to focus their own resources on core topics like Mobility, Connected Cars and Autonomous Driving. 
The keynote will give a pragmatic overview of the benefits of integrating and orchestrating Security solutions and proven services available today – showing examples like Automotive Security Operation Center and InCar Security Solutions.
Speaker: Dirk Backofen, Senior Vice President & Head of Telekom Security
Keynote ID V88 (18.07.2019) 11:30 am, room C1.1
Exhibits of T-Systems
Never before have we experienced so many new business ideas being tested on the market in such a short space of time. Many companies – not just vehicle manufacturers – are trying to establish themselves in new sectors. IT capacity that can be used when required is just one aspect. Industry know-how and process knowledge also come into it. Co-innovation allows companies to benefit from knowledge beyond their own sphere, gain new insights, and share their own expertise. Diversity enriches and expands horizons – not just when it comes to creative new approaches, which can be stimulated through new methods such as design thinking, but also in terms of implementation. Co-innovation can also mean finding the partner that will transform new ideas from thoughts into reality.
The Digital Engineering Center expands the consulting portfolio of Detecon, one of the leading German technology consultancies to include practical and applied expertise in 4 competency areas: co-innovation, analytical intelligence, industrial IoT, and cyber security. We cover the entire innovation value chain, from trend & impact analysis to practical implementation in the form of tangible solutions. The foundation for this is strong links with an extensive innovation ecosystem in Germany, Israel, and Silicon Valley. Our experts develop tailored solutions hand in hand with the customer.
Visit T-Systems’ booth to find out how you can bring your ideas to life and implement them in an agile way. Let's get inspired: tell us about your challenges and discuss them with us.
In an intensified competitive environment in which agility is becoming the benchmark, IT capacity and use of the latest technology are what determine businesses’ share of the market. Product lifecycle management (PLM) – with its various functions and components (such as CAE and CAD) – has a key role to play, particularly when various partners (including external partners) have to be involved in development. The cloud simplifies cooperation between development partners. It is the ideal platform to use PLM functionalities collectively. It permits cost-efficient, flexible use of software, computing/memory capacity, and work station systems, making it possible to accelerate development times and reduce costs.
T-Systems will be demonstrating its suite for consistently scalable development environments on a pay-per-use basis: PLM Cloud. This includes virtual work station systems, hosting, and application management for PLM systems, as well as high-performance computing. NX is available as another CAD alternative. 5G Campus Networks facilitate low-latency availability of development, production, and operating data (digital twin), as well as development work stations.
The digital twin expands the lifecycle to the phases of production and operation and closes feedback loops to development. The digital twin opens up a whole new world for designers, showing how vehicles and components will behave in real life over the entire lifecycle. In light of this, the digital twin is increasingly becoming an essential tool for design and enhancement of products, providing a response to accelerating innovation cycles and the increasing complexity of connected cars. It delivers valuable findings on actual usage, loads, and behavior, and therefore forms an important basis for optimized, customer-centered product development.
The PLM Digital Twin from T-Systems facilitates AI-based quality analysis, making it possible to identify anomalies early on and predict critical problems, for example. Our reference example of predictive quality analytics from the Wörth factory is a practical illustration of how the digital twin integrates seamlessly with production and uses the latest technologies, such as machine learning and augmented reality, to ensure optimum product quality. Furthermore sub-processes of CAD and CAE in the PLM Cloud will be demonstrated live using the example of a brake system.
Together with the Data Intelligence Hub (DIH), T-Systems provides a secure platform for overarching exchange of sensitive field data in the context of a digital twin, for example between the OEM and OES, whilst fully maintaining the data supplier’s control over the data.
A globally distributed edge computing platform for continuous operation. 
Effective prototyping is the driver of innovative automotive engineering. Intelligent analysis of the globally collected giant amount of measured data is rapidly becoming the most important tool of a development engineer.
Big Data for Endurance Testing implements such a tool on the basis of two core technologies:
  • a world-spanning network of super clusters that brings analysis requests from the desk of the engineer directly to the brand new data on the edge devices. 
  • patented big data-based signal processing that optimizes storage of and access to measured data.
Big data for Endurance Testing was developed in line with the IT company strategies.
Wireless connections for automobiles are not only opening up a world of new possibilities such as autonomous driving, but also present an array of new challenges. This is because vehicles, like computers and smartphones, now need to be protected against cyberattacks. 
IT security, covering all aspects of automobile use, now plays a key role in automotive development and production. Security systems in vehicles and their operating environments have to be kept up to date, throughout cars' entire service lifetimes – and hacker attacks have to be quickly detected and blocked. Security also plays an essential role for delivery of digital add-ons for the driver: These can be booked online, and provided and billed straight away “over the air” if needed. The “blockchain” is what lies at the heart of this process. T-Systems will be showcasing the Secure Feature Activation exhibit using a practical example. 
Cyber defense for connected cars and safeguarding of the associated digitalization may be covered by an automotive Security Operation Center (SOC) in future. The T-Systems automotive SOC is a comprehensive virtual shield for connected cars. The SOC is a central facility at which a team of security experts with both automotive and IT know-how analyze all security-critical data – and detect and ward off cyberattacks. The data that enter into their analyses come from a range of different sources:
  • detection systems – in vehicles, back-end systems and mobile networks,
  • threat intelligence systems, which obtain information about hackers and their methods via digital traps (honeypots) and consultation with third parties, and vehicle data, such as telematics data.
The T-Systems in-car intrusion detection system ESLOCKS detects cyberattacks and alerts the security team automatically. The attack is visualized on the security incident and information system so that appropriate countermeasures can be taken straight away. Experience the system live on the dashboard at our booth.
The route to autonomous driving is via smart cars that can make decisions. To do this, they not only collect their own data through on-board mechanisms, but also communicate with a variety of external entities: other cars, traffic infrastructure, a cloud back-end system, etc. At the same time, the increasing connectedness of cars as part of the Internet of Things is facilitating completely new services and business models, such as predictive maintenance and over-the-air updates – with the aim of tapping into new applications and intensifying customer loyalty. It is not just the latest models that can be connected cars; retrofitting solutions make it possible to connect up older vehicles. 
At its booth, T-Systems will be demonstrating how new and older models can be equipped and enhanced with connected services. The central connected car platform of DAIMLER is basis for all current and future CASE services for vehicle and driver and has been continually enhanced and operated globally by T-Systems for years now – with the highest service levels and in accordance with “Made in Germany” safety standards. Even older Mercedes vehicles made from 2002 onward can become connected with the Mercedes me adapter retrofitting solution – including connection to the company’s IT systems (e.g. CRM, DMS).
Autonomous driving has the potential to generate fundamental societal change. The competition for the first level 5 vehicle is noticeably intensifying, with speed of innovation being key. At the same time, however, it must be ensured that autonomous vehicles are reliable and safe. And that the right technical conditions – including outside of the vehicle – are created in order to allow the dream of autonomous driving to become a reality. This includes the integration of data from vehicle sensors, traffic infrastructure, and back-end systems. One of the underlying technologies here is the latest generation of high-performance networks. In short: 5G. 
Deutsche Telekom offers all components needed for autonomous driving from a single source: 5G connectivity, cloud platforms, E2E security (in-car, mobile, back-end), system integration, and business process consulting (e.g. data governance). The aim is to develop a neutral development and testing platform for autonomous driving. T-Systems will be presenting different urban digital and virtual test fields at its booth, such as the DIGITNET-PS project, which offers OEMs a digitalized test route in the heart of Berlin on which use cases for autonomous driving can be simulated.
​​​​​​​T-Systems presents scenarios of future mobility in urban regions e.g. mobility plattforms, smart city apps and smart logistics.
Artificial intelligence (AI) is currently one of the top technological topics across many different sectors. In light of easily available, extensive, and efficient computing capacity, experts are expecting increased use of this future technology. Particularly in analytics, artificial intelligence solutions can largely be employed with ease and to great benefit.  It is benefiting the further development of autonomous driving. At its booth, T-Systems will be demonstrating how driver assistance functions can be validated and training for autonomous vehicles can be supported using AI. For example, objects in the smart city are identified, which makes it possible to optimize AI algorithms for driver assistance systems. Large amounts of vehicle data are analyzed via a highly developed big data platform. The platform can provide complex driving situations for resimulation for driver assistance systems at the touch of a button.
Data is the new gold
The Data Intelligence Hub permits efficient and secure exchange of data with complete data control. On top of that, the Data Intelligence Hub offers big data infrastructure, including analytics tools for the processing and analysis of independent or market-derived data. Our vision: to pave the way for innovative data-driven services and for applications surrounding machine learning or artificial intelligence. The Data Intelligence Hub is the first secure marketplace for data, data analysis tools, and algorithms that spans different companies and industries. It connects providers and consumers of data and solutions.