T-Systems is Germany’s leading IT-service provider for the automotive industry. Clients benefit from reliable operations of global backend systems (EU, US, China), leading innovation and super-fast 5G and edge communications.
Stop wasting time processing your data - start experimenting! Join the data sandbox to create results faster by benefiting from experiments with free data types & better data. In data analytics today, more than 80% of the time budget is spent on data processing alone. With the “data sandbox” you can generate results faster.
IDSA has developed a blueprint to enable companies to pool and share data for competitive advantage, while maintaining data sovereignty. The Telekom Data Intelligence Hub offers a first commercial implementation.
With all the attention on Big Data, it is easy to overlook AI opportunities with small or unbalanced samples - or “Small Data.” Success with Small Data requires specialized analytics. Cloud trends like edge-computing will further expand Small Data opportunities.
How to solve the data productivity crisis? What data can learn from auto: Daimler invented the motor car, Ford invented the auto business with productization and automation.
German Chancellor Merkel is warning German companies to exploit the value creation potential of data or be in for a rude awakening. But how to flip the switch to a data-centric business? A first good step would be “Product Management.”
No longer missing out on innovation … Startup Autobahn presents a curated lineup of start-up stars to select automakers and suppliers in the automobility ecosystem.
Automotive revenue is shifting to mobility services and power – and profit – will shift from the vehicle – or hardware – to data: A rerun of a story foretold in Rappaport & Halevi’s “The Computerless Computer Company” in a 1991 Harvard Business Review article?
Every two years Daimler invites its top suppliers for two days of exhibits, keynotes, presentations and expert talks: New developements with connected, autonomous, electrified and shared automobility.
Are you planning to rent an apartment, buy a house, locate an office? The arrival and success of Robotaxis, van-pool shuttles and autonomous vehicles will radically alter consumption of urban space - roads, parking - and ignite a race to reuse it.
Mistakes and errors slow down production and cost money. How to prevent it? "Frontloading" with digital twins can do the trick. Wouldn't it be ideal to identify defects prior to production?
There is plenty of open source data, for example about where people live, how many cars they have registered. However, in order to optimize public transportation what's missing is dynamic data, such as data on actual people movements. The Data Intelligence Hub can help with that.
Obtaining the right data in the right amount is key to AI success. However, on their own very few companies will be able to collect sufficient amounts of data. German economics minister Altmaier sums it up: “We need data pools in Europe.” But how to pool and share data, while maintaining sovereignty?
Everyone is talking about it, but in praxis it shows: "The subject of AI is completely new territory." Automotive IT asked experts such as Prof. Dr. Chris Schlueter Langdon of T-Systems to explain how to avoid reinventing the wheel.
We asked leading data scientists: How do you spend the next US$1, on more data (quantity) or better data (quality)? And how to measure the quality and quantity of data?
Despite big investments in Data scientists, expensive IT infrastructure and tools, AI seems to be stuck in first gear. What's often missing is the right management approach - and the right recipe to orchestrate all the new ingredients ....
The shift to new mobility services is seen as epic and rapid. In less than two vehicle generations a new service business is estimated to be as big as the auto business.
Big Data is promised to be the next big business. Yet, today, most companies don’t even know how big ‘big’ is, how to size data quantities properly. No surprise that profit is missing. Start measuring!
Digitizing the production line of a Hidden Champion in 100 days? Learn more about how a Telekom Team "walked the talk", used connected sensors and Data Analytics to uncover hidden production issues and improve quality.
If “Time is Money”, then data analytics today is a disaster. Because at least 80% of the time budget of a data analytics project is spent on data preparation, not with analytics and results.