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.
Hollywood already invented them: avatars, cyborgs, androids, clones. Today, leading politicians, managers and investors speak about the Digital Twin as a reflection of people as something perfectly natural. But where remains the data sovereignty?
Telekom Data Intelligence Hub at Europe’s biggest data science conference by Data Natives, a community of 70.000+ data experts. Telekom is presenting with partners IBM and IDSA.
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.
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.
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?
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.
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 ....
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.