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.
Get better results with more information – effective data sharing enables you to develop new, future-oriented, competitive and data-driven business models.
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.
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.
Exchange and process data both in and beyond your own sector: The marketplace provides entirely new ways to execute your data strategy.
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.
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.
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.
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.
All materials must be "just-in-time" so orders must be coordinated with all actors in order to ensure smooth delivery. Data processing helps to optimize the process. Everyone recieves the relevant data and a translation service ensures, that there are no missunderstandings.
All participants along the value chain can profit from collaborative use of data. The new Use Case "Collaborative Condition Monitoring" shows how this can be accomplished.
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?
Farmers are highly dependent on weather and soil. Smart farming in agriculture helps to optimise products in terms of quality, quantity and pricing. With the help of the Data Intelligence Hub, agricultiral data can be mixed with weatherdata in order to take measures to prevent negative effects.
In viticulture, external factors such as the weather play a major role in determining the harvest yield. IoT devices support the optimization of viticulture. Enriched with past, current and predicted weather data, viticulturers are able to analyze, optimize and plan the harvest.
Intelligent building management helps to optimize resources and save costs. Electricity can be used sustainably and the owner as well as the residents are able to save money.
Intelligent lighting systems help to save electricity and thus protect the environment. By enriching live data from light bulbs with weather data, the lighting can be controlled efficiently and sustainably.
With all the attention on Big Data, it is easy to overlook AI opportunities with small or unbalanced samples - or “Small Data.” Success with Small Data requires specialized analytics. Cloud trends like edge-computing will further expand Small Data opportunities.
German Chancellor Merkel is warning German companies to exploit the value creation potential of data or be in for a rude awakening. But how to flip the switch to a data-centric business? A first good step would be “Product Management.”
Are you planning to rent an apartment, buy a house, locate an office? The arrival and success of Robotaxis, van-pool shuttles and autonomous vehicles will radically alter consumption of urban space - roads, parking - and ignite a race to reuse it.
Mistakes and errors slow down production and cost money. How to prevent it? "Frontloading" with digital twins can do the trick. Wouldn't it be ideal to identify defects prior to production?
There is plenty of open source data, for example about where people live, how many cars they have registered. However, in order to optimize public transportation what's missing is dynamic data, such as data on actual people movements. The Data Intelligence Hub can help with that.
Umati and Telekom's Data Intelligence Hub deliver consistent standards for greater data sovereignty and efficient data exchange in the industry.
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?
In beverage production, different players are interdependent. To control this, data can be generated and distributed between the actors. A roles and rights system prevents the data from beeing accessed unauthorized.
Intelligent networked machines improve the process chain and products in manufacturing companies. The Data Intelligence Hub 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.
In order to optimize waste management, data is analyzed to determine the perfect time to empty the waste. Waste bins are monitored and a sensor sends filling-level and geographical location. This enables the waste management to empty the bins efficiently.
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.
Numerous data sources and algorithms are combined in the Data Intelligence Hub for a comprehensive inventory and forward-looking forecasts.
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.
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.
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 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.
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.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.
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.
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 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.
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.
Benefit from the network of Deutsche Telekom: Forge alliances, meet with customers and service providers of all sizes and industries – for more joint success.
GaiaX is a European cloud with the highest security standards and data sovereignty.Europe wants to be a real competitor on the international market. With the DIH, Deutsche Telekom is already developing a sovereign data platform and can therefore contribute expertise to GaiaX. Read more
In modern times, digital business models are the fundamental differentiator of future competitiveness in Industry 4.0 and are becoming increasingly important. In order to better understand data-driven business models, the platform industry 4.0 provides a number of examples of why they are advantageous for the future. Read more
At a time when trade fairs and congresses cannot be held due to the corona pandemic, digital alternatives are becoming increasingly important for maintaining economic development. For this reason, the International Data Space Association will convert the joint stand planned for the Hannover Messe into a virtual event. Read more
All materials must be "just-in-time" so orders must be coordinated with all actors in order to ensure smooth delivery. Data processing helps to optimize the process. Everyone recieves the relevant data and a translation service ensures, that there are no missunderstandings. Read more
All participants along the value chain can profit from collaborative use of data. The new Use Case "Collaborative Condition Monitoring" shows how this can be accomplished. Read more
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…
