DATA INTELLIGENCE HUB - For business customers
Erleben, was verbindet.

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.

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.

logistics

Better, more dependable logistics

Stakeholders in the logistics industry can plan more efficiently by using the Data Intelligence Hub. Thanks to Data Analytics, they are always up to date.

Open use case
bike sharing mobility

Optimizing fleet utilization and customer satisfaction

The Data Intelligence Hub solves mobility problems through data diversity. With Analytics, individually required information are filtered and processed.

Open use case
facility management

Smart human-machine communication

Artificial intelligence helps companies to monitor large amounts of data. The Data Intelligence Hub is an ecosystem for secure data exchange and analytics applications on one platform.

Open use case
Manufacturing

Industry 4.0 solves quality problems

Intelligently networked machines improve the process chain and products in manufacturing companies. The DIH makes Industry 4.0 possible.

Open use case
Manufacturing smart monitoring

Manufacturers work more efficiently

With Smart Monitoring, service technicians can easily monitor machines and production processes and react earlier - for example with the Data Intelligence Hub.

Open use case
air quality open data

Intelligent analysis ensures clean air

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

Open use case
open data

Cloud-based data platform for citizens

With the Telekom Data Intelligence Hub (DIH), 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.

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.

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.

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: Data Science Experience

With IBM Data Science Experience, users have an interactive, collaborative and cloud-based environment in which data scientists can use multiple tools to gain information. Data Science Experience integrates with RStudio, Jupyter, and Python in a configured collaborative environment.

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.

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.

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

"Telekom Data Intelligence Hub is built on well-proven technologies that are widely adopted in cloud services, in enterprise IT and, increasingly, in IoT projects. It will often be a more natural fit both technically and commercially than platforms based on blockchains.”
Martin Garner
from CSS Insights
“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

The New Space Race and Importance of Behavioral Data

New mobility frees up space, how to use it? Behavioral data can provide answers. Read more

Christoph Schlueter Langdon
Christoph Schlueter Langdon
04. Feb 2019

“Data Sandbox” Berlin

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

Christoph Schlueter Langdon
Christoph Schlueter Langdon
04. Feb 2019

What an exciting year 2018 - 2019 will be the year of data

An eventful year is drawing to a close and a new one is just around the corner. Read more

Sven Löffler
Sven Löffler
18. Dec 2018

The 4th Big Data Days - a complete success

At the end of November the Big Data Days took place in Berlin. A short video summarizes the highlights. Read more

Janek Mulac
Janek Mulac
11. Dec 2018

From IoT to Internet of Production

Digitizing the production line of a Hidden Champion in 100 days? Read more

Christoph Schlueter Langdon
Christoph Schlueter Langdon
29. Nov 2018

No AI without data, no data without EAM

Why artificial intelligence would be impossible withouth data. Read more

Dr. Karsten Schweichhart
Dr. Karsten Schweichhart
07. Nov 2018

The Data Intelligence Hub in 85 Seconds

Watch our new video, which tells you the most important thing about the Data Intelligence Hub in only 85 seconds. Read more

Sven Löffler
Sven Löffler
01. Nov 2018

Deutsche Telekom’s guidelines for artificial intelligence

Deutsche Telekom has defined nine guidelines for dealing with artificial intelligence (AI). Read more

Dr. Karsten Schweichhart
Dr. Karsten Schweichhart
18. Oct 2018

Breaking up data silos to optimize supply chains

“The world’s most valuable resource is no longer oil, but data”, the Economist wrote in 2017. But what can companies do with all the data they are creating? Read more

Sven Löffler
Sven Löffler
10. Oct 2018

Cities and communities want to become smart

The launch of the Data Intelligence Hub will be complemented with a “DIH University Initiative.” Read more

Christoph Schlueter Langdon
Christoph Schlueter Langdon
05. Sep 2018

Industrial Data Space

Industry 4.0, artificial intelligence, cloud computing: The automation and networking of all living and working areas are establishing … Read more

Sven Löffler
Sven Löffler
20. Aug 2018

Data Intelligence Hub Keynote @ Strata 2018 London

This year’s Strata Data Conference in London was the place to be for the Telekom Data Intelligence Hub (DIH) … Read more

Sven Löffler
Sven Löffler
20. Aug 2018

Data Marketplace Part 2/2 – Trading with data

This part of the blog focusses on the relevance of the topic and the added value of a data marketplace. Read more

Sven Löffler
Sven Löffler
20. Aug 2018

Data Marketplace Part 1/2 – Trading with data

Data can be bought and sold, creating data marketplaces.… Read more

Sven Löffler
Sven Löffler
20. Aug 2018

Cloudera Data Science Workbench

The workbench is a self-service-tool for data scientists which helps at building, scaling and deploying machine learning and advanced analytics solutions using the current most powerful technologies. Read more

Sven Löffler
Sven Löffler
20. Aug 2018

Data treasure instead of digital graveyards

Virtually every company, regardless of its target market, aims to leverage competitive advantages, cut costs and optimize processes… Read more

Sven Löffler
Sven Löffler
20. Aug 2018

International Data Spaces in context IoT/ Data Analytics

The basis for this interplay of services is the exchange of data. Read more

Sven Löffler
Sven Löffler
20. Aug 2018

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…