DATA INTELLIGENCE HUB - For business customers

LIFE IS FOR SHARING.

Create value from data

Data is the new gold – and you can mine it with the Data Intelligence Hub: Use this innovative platform to securely and efficiently exchange, process and analyze data. Retain full sovereignty over your data. Our vision: the development of new data-driven services and applications for machine learning or artificial intelligence.

Seize opportunities

Get better results with more information – effective data sharing enables you to develop new, future-oriented, competitive and data-driven business models.

Gain insights

Exchange and use: The Data Intelligence Hub can help you turn existing or acquired unstructured data into business-crucial insights with AI and analysis specialists.

Boost potential

Your company’s data is a valuable asset: Accessing your own database with the Data Intelligence Hub allows you to tap additional sources of revenue in a simple, transparent and secure manner.

This is how the Data Intelligence Hub works

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Data marketplace

Exchange and process data both in and beyond your own sector: The marketplace provides entirely new ways to execute your data strategy.

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Big data analytics from the cloud

The Data Intelligence Hub offers a wide spectrum of proven analysis tools. Work on your own or collaborate on projects – regardless of your own hardware infrastructure.

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Full control

Publish your data and analyzes individually: Who is allowed to view them, who to explore, who to process? All could be managed at once in the Data Intelligence Hub.

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Highly secure

Exchange data with all of your business partners along the data value chain and across international borders. You can rely on our infrastructure and security standards.

Easy transfer via Connector

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Receiving and providing are getting quite simple through the Connector. The application based on the open source software Apache Kafka provides an interface for loading and processing data streams. Especially for large amounts of data and peer-to-peer install the connector locally on your server.

Berlin digital twin: Yes, intermodal traffic is faster!

How to fix a problem like the coronavirus crisis, ultimately? With the right solution, medicine and vaccine. How do you find the right medication? Testing! How do you speed up the process? Simulation! But it has to be backed up with science and a rigorous experimentation process. Like we have done to identify solutions to the traffic problem in dense urban areas such as Berlin.

Open use case

Material order optimization

For a smooth “just-in-time” material delivery, orders as well as participants musst be coordinated. Systematic data processing helps with this. Everyone receives the relevant information and a translation service prevents misunderstandings.

Open use case

Joint process improvement through Collaborative Condition Monitoring

The collaborative use of data offers valuable insights to all parties along the value-chain, which can be used to optimize products and processes.

Open use case

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?

Open use case

What’s holding back intermodal mobility? Is there a customer value problem?

New last mile technology has arrived, think e-scooters, smart parking apps … but intermodal mobility hasn’t. Are there no benefits for the end-user? Let’s find out … with data science.

Open use case

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.

Open use case

Good weather for modern agriculture

Farmers are highly dependent on weather and soil. Smart farming combines, for example, agricultural data with weather data in agriculture to be able to take timely measures against negative effects. Thus, product quality, quantity, and pricing can be optimized.

Open use case

Positive prognosis for viticulture

In viticulture, external factors such as the weather play a major role in determining the harvest yield. Through the analysis of past and current weather data, linked with the weather forecast, IoT devices support the planning and optimization of the vintage.

Open use case

Building information management pays out

Intelligent building management helps to use energy, water and other resources in an optimal way to lower costs for owners as well as residents.

Open use case

Enlightening data

How can street lighting be regulated with the lowest possible power consumption? How to know when a certain lamp will fail? By including the local weather and material lifetime into the calculation.

Open use case

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.

Open use case

Stuck in traffic: How bad is it … do we age faster … how can we fix it?

We spend more than four years of our lives inside a car. If we are stuck in a traffic jam for 25 percent of the time, then we age 1 year faster … unless we spend the time in a useful way… maybe new technology can help.

Open use case
Behavioral Data mobility smart city Urban Space

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.

Open use case
Automotive digital twin Manufacturing

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.

Open use case
bike sharing mobility

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.

Open use case
Event Manufacturing umati

Easy and standardized connection of machines with Umati

With consistent standards, Umati and the Data Intelligence Hub enable efficient data exchange in the industry.

Open use case
Automotive Data Exchange Data Sovereignty mobility

Fast and secure data exchange between OEM and supplier

Intelligent mobility applications require large volumes of data. An OEM that sources, analyzes and utilizes this data, has a good chance to stay competitive.

Open use case

The perfect beverage mix

There are various dependencies between the players in beverage production. A roles and rights system prevents unauthorized access during the exchange of production data.

Open use case
Industry4.0 Manufacturing mobility

Industry 4.0 solves quality problems

Intelligent networked machines improve the process chain and products in manufacturing companies. The Data Intelligence Hub makes Industry 4.0 possible.

Open use case
Manufacturing smart monitoring

Discover anomalies in production earlier

With smart monitoring, service technicians can easily monitor machines and production processes and react earlier – the Data intelligence Hub offers such an analytics service.

Open use case
Cloud Computing facility management

Building management in the cloud

In automated property operation, data from a variety of parties, sources formats flow together. A unified system for the secure and simple exchange of data comes at the right time.

Open use case

Neat ideas for scruffy garbage

Intelligent waste management means, waste bins equipped with sensors send their filling-level and geographical location. With this data, the ideal time for collection is calculated.

Open use case
logistics

Data analytics in logistics

Stakeholders in the logistics industry can plan more efficiently with the Data Intelligence Hub. Thanks to data analytics, they are always up to date.

Open use case
air quality open data

Data analyses to improve breathing air quality

Numerous data sources and algorithms are combined in the Data Intelligence Hub for a comprehensive inventory and forward-looking forecasts.

Open use case
open data smart city

Open data portal for city administrations

With the Telekom Data Intelligence Hub, municipalities can process their data in a targeted manner and make it available to citizens – without having to build their own infrastructure.

Open use case

Fast data analysis with helpful tools and services

Easily generate value from your own and external data: Use the large number of different analysis tools the Data Intelligence Hub offers to process data and generate insights.

Screenshot von der Cloudera DataScience Workbench im Data Intelligence Hub
Data Science Workbench

Data Science Workbench

With the Cloudera Data Science Workbench, data scientists can manage their own analysis pipelines. This includes integrated planning, monitoring and email alerting. Quickly develop and prototype new machine learning projects and easily deploy them in production.

Azure Databricks
Databricks

Databricks

Azure Databricks is a fast, easy and collaboration-oriented analysis service based on Apache Spark. Create your big data pipelines in just a few steps based on the data collected by data lakes or streaming services. One-click setup, streamlined workflows, and an interactive workspace for data specialists, data engineers, and business analysts to collaborate.

Screenshot vom Dashboarding-Tool Grafana von Grafana Labs im Data Intelligence Hub
Grafana

Grafana

Grafana Labs' free-to-use dashboarding tool Grafana helps you keep track of everything. It is very common because it is very mature and stable.

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H2O

H2O

H2O.ai's H2O open source service is a Java backend for machine learning applications. It comes either for beginners with a pre-set frontend or can be controlled via APIs using programming languages, such as Python, R or Java. It brings some of their own implementations of popular ML algorithms that are among the best in the market.

IBM Watson Studio
IBM: Watson Studio

IBM: Watson Studio

Organizations are now tapping data science and artificial intelligence (AI) as a technology-enabled business strategy. Experimentation is accelerating across multiple clouds. IBM Watson Studio is a leading data science and machine learning platform built from the ground up for an AI-powered business. It helps enterprises simplify the process of experimentation to deployment, speed data exploration and model development and training, and scale data science operations across the lifecycle. IBM Watson Studio empowers organizations to tap into data assets and inject predictions into business processes and modern applications and then optimize business value with visual data science and decision optimization. It's suited for hybrid multicloud environments that demand mission-critical performance, security and governance —in public clouds, in private clouds, on-premises and on the desktop.

Screenshot von der Open-Source-Workbench Jupyter von NumFocus im Data Intelligence Hub
Jupyter (Hub / Notebook)

Jupyter (Hub / Notebook)

This NumFocus open source workbench is similar to easy-to-use text document processing software. Unlike the default editor, it provides the user with meaningful and efficient features to easily access data and other resources.

Screenshot von der Workbench Rstudio im Data Intelligence Hub
Rstudio

Rstudio

RStudio is an integrated development environment (IDE for short) that allows you to analyze data in the R programming language. The workbench includes a console, a syntax highlighting editor that supports direct code execution, and tools for plotting, history, debugging, and workspace management.

Screenshot vom Tool Zeppelin von Apache im Data Intelligence Hub
Zeppelin

Zeppelin

Developed by the Apache open source community, this tool helps with data acquisition, recognition, analysis and visualization. The interpreters allow you to attach code in any language to Zeppelin with support for Apache Spark, R, Hive, Shell, Cassandra, and more.

Strong network

Benefit from the network of Deutsche Telekom: Forge alliances, meet with customers and service providers of all sizes and industries – for more joint success.

Customer voices

“It is absolutely vital for companies to protect their sensitive business information. It is therefore hugely important that the Telekom Data Intelligence Hub enables them to decide for themselves under what conditions they allow partners access to their data.”
Lars Nagel
Managing Director IDSA
“What is fundamentally different about the Telekom Data Intelligence Hub is that it's the first commercial system to be deployed that is compliant with the specification released in late 2017 by the International Data Spaces Association (IDSA)."
Martin Garner
from CSS Insights
“DT’s new Data Intelligence Hub illuminates DT’s ambitions to be a neutral data custodian on behalf of enterprise. Excellent security credentials and empowering business customers with data sovereignty combine to give very strong possibilities.“
Joel Stradling
from Global Data

Data Intelligence Hub Journal

Shaping the future of mobility: Deutsche Telekom Hackathon 2020

Deutsche Telekom is organizing #AIHack4Mobility on October 29th and 30th. After the success with #AIHack4Diversity in 2019 and #AIHack4Ladies 2018, this year everything revolves around the topic of "Future Mobility" under the motto "Artificial Intelligence for Diversity Teams". Read more

Anja Lüttmann
30. Sep 2020

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

Anastasia Gunko
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

Release Notes

- 6.5.0 - The most significant enhancement in this release is the integration of a roles and rights concept. But also the map function has been significantly revised and expanded with a number of user-friendly functions. In addition, open data access via API is now possible. Read more

Anastasia Gunko
12. Aug 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

Start with Data Intelligence Hub

Want to know how to successfully share, analyze and use data in the Data Intelligence Hub to gain business insights? Register for free and start now…