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.
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.
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.
Did you miss our live sessions? View the recordings of the live sessions here.
Join one of our live sessions and learn how to get the most out of the Data Intelligence Hub.
Learn how to pull your data from the Azure blob storage and analyze it on the DIH Jupyter Notebook.
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?
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?
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.
What is Artificial Intelligence? How important is Open Source Software? What are the most important solutions?
New mobility frees up space, how to use it? Behavioral data can provide answers.
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.
An eventful year is drawing to a close and a new one is just around the corner.
At the end of November the Big Data Days took place in Berlin. A short video summarizes the highlights.
Intelligently networked machines improve the process chain and products in manufacturing companies. The DIH makes Industry 4.0 possible.
With Smart Monitoring, service technicians can easily monitor machines and production processes and react earlier - for example with the Data Intelligence Hub.
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.
The Data Intelligence Hub solves mobility problems through data diversity. With Analytics, individually required information are filtered and processed.
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.
Digitizing the production line of a Hidden Champion in 100 days?
Numerous data sources and algorithms are combined in the DIH for a comprehensive inventory and forward-looking forecasts.
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.
Why artificial intelligence would be impossible withouth data.
Watch our new video, which tells you the most important thing about the Data Intelligence Hub in only 85 seconds.
Deutsche Telekom has defined nine guidelines for dealing with artificial intelligence (AI).
“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?
The launch of the Data Intelligence Hub will be complemented with a “DIH University Initiative.”
Industry 4.0, artificial intelligence, cloud computing: The automation and networking of all living and working areas are establishing …
This year’s Strata Data Conference in London was the place to be for the Telekom Data Intelligence Hub (DIH) …
This part of the blog focusses on the relevance of the topic and the added value of a data marketplace.
Data can be bought and sold, creating data marketplaces.…
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.
Virtually every company, regardless of its target market, aims to leverage competitive advantages, cut costs and optimize processes…
The basis for this interplay of services is the exchange of data.