According to Automotive IT Deutsche Telekom’s B2B business, T-Systems, is the leader in its most recent Top 25 ranking (issue 05/2019).
T-Systems solutions range from reliable operations of global backend systems (EU, US, China) to leading innovation, such as NarrowBand IoT networks, and 5G and edge communications. Furthermore, it understands it’s customers from first hand experience, as is actively shaping the digital transformation of automobility through own infrastructure investments, such as connected driving (CarConnect), smart parking (Park & Joy) and charging (GetCharge). Most importantly, T-Systems is known as a neutral partner – and as part of Deutsche Telekom – for its legacy commitment to data security and safety.
On 28 and 29 October 2019, the most important personalities from politics and business met. Among others, the project Gaia-X was presented. Here, IDSA and Deutsche Telekom are working together to establish a sovereign data infrastructure for the whole of Europe.
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The Data Intelligence Hub supported this years AIHack4Diversity in Berlin. Under the theme "Diverse teams can often receive better results than homogeneous teams", 7 teams tried to solve the honeypot challenge.
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.
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.”
Everyone is talking about it, but in praxis it shows: "The subject of AI is completely new territory." Experts such as Prof. Dr. Chris Schlueter Langdon of T-Systems explain how to avoid reinventing the wheel.
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?
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?
Topic: Trustworthy data exchange in the supply chain! Get to know the potential of a networked supply chain and how to use it for your company - with live demo. Sign up now!