In data analytics today, more than 80% of the time budget is spent on data processing alone. Join the “data sandbox” to create more results faster by benefiting from (a) experiments with complimentary data types and (b) better data.
The “data sandbox” is about experimentation, trial and error, fail fast – and for free, without financial commitment. Simply bring your data; we can match it with complementary datasets from our Telekom Data Intelligence Hub (DIH) so that you can create data analytics success stories faster.
Win-Win Equation = Your Data + Our Free Data and Tools
The Results Are Yours.*
* For commercial use of our data and results, such as algorithms built with our data, the data or rights to the data would have to be purchased.
Join the club: Our current partners include leading technology and digital commerce companies, such as Deutsche Telekom, Motionlogic and IBM. Our data types include weather data, people traffic or movement data, and well curated and cataloged open source data.
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. Read more
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. Read more
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. Read more
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. Read more
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.” Read more
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. Read more
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? Read more
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? Read more
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! Read more