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.

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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.

Automotive

Fast and secure data exchange between OEM and supplier

Intelligent mobility is being used more and more. But to create this intelligence, a large amount of data is needed. In order to remain competitive as an OEM, data must be collected, analyzed and used efficiently. But how do you actually obtain the data?

Open use case
Automotive Manufacturing

Factory twin makes systems accessible, experiencable and interactive in advance

Mistakes slow down production and cost money. To avoid this and to make the production process as efficient as possible, errors must be identified and eliminated at an early stage. Wouldn't it be ideal to have a digital image that identifies defects prior to production?

Open use case
logistics

Data Intelligence For Better 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

High Quality Data Optimizes Fleet Usage

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

Open use case
Cloud Computing 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

How Manufacturers Acquired Skills Using AI

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 smart city

Open Data Portal for cities

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.

Screenshot von der Cloudera DataScience Workbench im Data Intelligence Hub

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.

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

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.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

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)

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 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

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

Data Intelligence Hub at EMO 2019

Immerse yourself in the exciting world of metalworking at EMO 2019. The Data Ingelligence Hub team invites you and provides you with a free ticket. Read more

Lina Hinterseer
Lina Hinterseer
30. Jul 2019

Daimler EDM CAE Forum

T-Systems with its Data Intelligence Hub is part of the Daimler EDM CAE Forum and this year it's all about communication, cooperation and inspiration. Read more

Jörg Heizmann
Jörg Heizmann
11. Jul 2019

Driving the data ecosystem - IDSA Summit 2019

Deutsche Telekom is inviting you to the IDSA Summit from June 25 - 26, 2019. Read the agenda and take part at the event in Bonn. Read more

Dr. Karsten Schweichhart
Dr. Karsten Schweichhart
14. Jun 2019

Live Session Recordings

Did you miss our live sessions? View the recordings of the live sessions here. Read more

Janek Mulac
Janek Mulac
11. Jun 2019

Don't miss: Data Intelligence Hub Talk - Live Session

Join one of our live sessions and learn how to get the most out of the Data Intelligence Hub. Read more

Janek Mulac
Janek Mulac
17. May 2019

Connect and analyze Azure Blob storage data on DIH

Learn how to pull your data from the Azure blob storage and analyze it on the DIH Jupyter Notebook. Read more

Ben Thorand
Ben Thorand
12. Apr 2019

How to improve the Training Time of Neural Networks

Neural Networks are an exciting technology used in the field of machine learning these days. But there is a phenomenon that many big networks struggle with: Training Time. Read more

Jacob Hetzer
Jacob Hetzer
27. Mar 2019

Artificial Intelligence on the Telekom Data Intelligence Hub

What is Artificial Intelligence? How important is Open Source Software? What are the most important solutions? Read more

Ben Thorand
Ben Thorand
27. Feb 2019

Data Patterns Are Making Cities Smarter

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

Christoph Schlueter Langdon
Christoph Schlueter Langdon
14. Feb 2019

Data Sandbox: Boost Your Data Analytics

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
14. Feb 2019

2019: The Year Of Big 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

Big Data: Unleash The Power Of Data

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

AI Requires Data For Best Practice

Why artificial intelligence would be impossible withouth data. Read more

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

Data Marketplace & AI Tools 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

Artificial Intelligence Guidelines

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

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

Break Up Data Silos & 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 & Towns Move Towards Digitization

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

Data Space, Automation & Networking

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

DIH Keynote bei Strata 2018 in 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

How Does A Data Marketplace Add Value

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

What Is A Data Marketplace: Data Trading

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, Not 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 & 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…