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Data Intelligence Hub Journal

T-Systems is #1

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

Jasmin Schubert
Jasmin Schubert
08. Mar 2020

Telekom data sandbox: Try small, fail fast, scale big

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. Read more

Janek Mulac
Janek Mulac
22. Feb 2020

T-Systems as pioneer: Implementing IDS

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

Christoph Schlueter Langdon
Christoph Schlueter Langdon
08. Jan 2020

Data factories for data products

With 80 percent of the time budget spent on preparing rather than analyzing data, it looks like a fundamental flaw in the system. What to do? Maybe we can learn from the past: With his car factories, Henry Ford revolutionized the auto business. How if we started building data factories? Read more

Christoph Schlueter Langdon
Christoph Schlueter Langdon
07. May 2020

A human digital twin with data sovereignty: Say hello to "DaWID"

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? Read more

Jasmin Schubert
Jasmin Schubert
06. May 2020

Telekom, IBM and IDSA on stage

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. Read more

Jasmin Schubert
Jasmin Schubert
12. Dec 2019

Success with “small data” through specialized analytics

With all the attention on big data, it is easy to overlook the AI potential of small or unbalanced samples – or “small data”. Cloud trends like edge-computing open new opportunities. Read more

Christoph Schlueter Langdon
Christoph Schlueter Langdon
28. Dec 2019

Treat data like cars

Chancellor Merkel urged German enterprises to utilize the potential for value that lies in data, Otherwise, a rude awakening is to be expected. But how can the transition into a data-oriented organization succeed? To implement product management might be a good start. Read more

Christoph Schlueter Langdon
Christoph Schlueter Langdon
07. Nov 2019

Mobility-as-a-Service @ Telekom Headquarters

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. Read more

Jasmin Schubert
Jasmin Schubert
30. Oct 2019

Power shift to data: The auto-less auto company?

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? Read more

Christoph Schlueter Langdon
Christoph Schlueter Langdon
06. Oct 2019

Daimler invites top suppliers: EDM CAE Forum

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. Read more

Jörg Heizmann
Jörg Heizmann
23. Sep 2019

Space race to the future neighborhood

At the moment, roads and parking dominate the scenery of inner cities. The arrival of new forms of mobility, however, will radically alter the consumption of urban space. Read more

Christoph Schlueter Langdon
Christoph Schlueter Langdon
14. Jul 2019

Digital twin speeds it up – for example a break

Mistakes and errors slow down production and cost money. How to prevent it? Wouldn't it be ideal to identify defects prior to production? “Frontloading” with digital twins can do the trick. Read more

Jörg Heizmann
Jörg Heizmann
18. Aug 2019

Fleet capacity utilization with heatmap analytics

There is a lot of open-source data out there, for instance on population density and means of transport. However, a differentiated picture and prognosis are only possible with dynamic data on movements. Read more

Christoph Schlueter Langdon
Christoph Schlueter Langdon
04. Jun 2019

Creating datapools for AI: More of the right data

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

Christoph Schlueter Langdon
Christoph Schlueter Langdon
20. May 2019

3 steps: AI best practice from experts

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. Read more

Jasmin Schubert
Jasmin Schubert
13. May 2019

Data: Quantity or quality?

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

Christoph Schlueter Langdon
Christoph Schlueter Langdon
05. Apr 2019

The service shift: New mobility as big as traditional automotive

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. Read more

Christoph Schlueter Langdon
Christoph Schlueter Langdon
20. Feb 2019

3 steps: Data best practice

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 ... Read more

Jasmin Schubert
Jasmin Schubert
25. Mar 2019

Data: How to measure it?

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! Read more

Christoph Schlueter Langdon
Christoph Schlueter Langdon
01. Feb 2019

From IoT to internet of production: In 100 days

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. Read more

Christoph Schlueter Langdon
Christoph Schlueter Langdon
05. Jan 2019

Data is broken: The data productivity crisis

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. Read more

Christoph Schlueter Langdon
Christoph Schlueter Langdon
18. Dec 2018