Today’s cars have about 30,000 parts and more than 100 million lines of code 1
of failed projects are due to poor requirements 2
Three key areas are driving the digital transformation in automotive engineering
+
of auto industry executives expect non-traditional participants to have a key role in the automotive ecosystem by 2025 3
The path forward for automotive organizations
Digitization
Improve efficiency by applying technology to individual resources or
processes
Digital transformation
Produce consumer experiences that support individuals’ needs or
wants
Digital Reinvention
Create revenues and results via innovative strategies, products
Auto makers and suppliers have already adopted cloud-based engineering tools into their operations
OEMs Suppliers
Yet many are still lacking deployment in critical areas, including security 3
0%
are deploying without risk evaluation
0%
do not perform regular security assessments
0%
do not have a formally established security program
To seize the digital transformation in auto engineering, you need the right mix of tools and practices, both human and machine
Cloud-based
Analytics
Traceability
Modeling
Security
Agile
Teams who embrace these methods will find:
New focus
Systems approach to build in efficiency
New ways to work
Collaborating in real time across globally distributed
teams
New ways to work
Collaborating in real time across globally distributed
teams
New expertise
Leveraging models and AI for continuous improvement
Putting it all into motion
Client study:
Daimler is shifting from traditional truck manufacturing to building digitally connected smart commercial vehicles designed to make trucking more efficient and cost effective.
Building new expertise around IoT, AI, cognitive automation, big data, telematics and hybrid systems, Daimler is creating new services and digital solutions.
It is also rapidly evolving its manufacturing processes, as it reinvents the end-user experience across the commercial vehicle segment.
Features of the reinvented vehicle
Self-integrating
Digital
integration
Seamless
Secure
Self-configuring
Digital
personas
Personalization
Environmental
Self-socializing
Social
networks
Assisting others
Using vehicles to do other things
Self-driving
Automated
Autonomous
Self-learning
Occupants
Performance
Behavior
Cognitive
Self-healing
Analytics
Prognostics
Servicing
Design smarter cars, deliver new capabilities and enhance customer experiences