We end this year with a handful of Marketplace and Workspace improvements. We introduced a new tool, JupyterLab, and improved the tools page overall in many aspects. Furthermore we fixed several bugs and simplified working with data sources and files.
The FAZ has received a new draft law for the sovereign handling and exchange of industrial data within the EU. The motivation behind the new edition is based on the endeavor to enforce valid European laws within data security and on the other hand it is based on the long-term goal to create an independent and innovation-promoting European data space.
We are very proud to announce yet another partnership. With the recent addition of AccuWeather-data to our DIH-Marketplace members can now access a multitude of useful APIs and datasets that can be utilized in a variety of data-driven solutions.
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".
HERE is a leading provider of mapping and location data and related services to individuals and companies covering sectors such as Automotive, Public Sector & Infrastructure, Transportation & Logistics. Their data assets are widely used for developing applications that enable safer driving, optimization of last-mile delivery including the enablement of real-time visibility within supply chains.
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.
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.
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.
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.
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.
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.
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.
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.
The collaborative use of data offers valuable insights to all parties along the value-chain, which can be used to optimize products and processes.
Telekom Data Intelligence Hub joins the fight against COVID-19. In its #HackCarona hackathon, Data Natives calls on data scientists worldwide to join forces as a team and find solutions.
Germany’s automotive industry has been its economic powerhouse for years. Now, its own success may be a problem. Cities are full of cars; traffic is getting worse … Plus digitalization and new technology are transforming the business.
With 80 percent of the time budget spent on preparing rather than analyzing data, it looks like a fundamental flaw in the system. What to do? Maybe we can learn from the past: With his car factories, Henry Ford revolutionized the auto business. How if we started building data factories?
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?
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.
Telekom Data Intelligence Hub at Europe’s biggest data science conference by Data Natives, a community of 70.000+ data experts. Telekom is presenting with partners IBM and IDSA.
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.
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.
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.
Intelligent building management helps to use energy, water and other resources in an optimal way to lower costs for owners as well as residents.
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.
On 28 and 29 October 2019, the most important personalities from politics and business met. Among others, the project Gaia-X was presented. Here, IDSA and Deutsche Telekom are working together to establish a sovereign data infrastructure for the whole of Europe.
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.
The Data Intelligence Hub supported this years AIHack4Diversity in Berlin. Under the theme "Diverse teams can often receive better results than homogeneous teams", 7 teams tried to solve the honeypot challenge.
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.
No longer missing out on innovation … Startup Autobahn presents a curated lineup of start-up stars to select automakers and suppliers in the automobility ecosystem.
Automotive revenue is shifting to mobility services and power – and profit – will shift from the vehicle – or hardware – to data: A rerun of a story foretold in Rappaport & Halevi’s “The Computerless Computer Company” in a 1991 Harvard Business Review article?
Every two years Daimler invites its top suppliers for two days of exhibits, keynotes, presentations and expert talks: New developements with connected, autonomous, electrified and shared automobility.
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.
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.
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.
Obtaining the right data in the right amount is key to AI success. However, on their own very few companies will be able to collect sufficient amounts of data. German economics minister Altmaier sums it up: “We need data pools in Europe.” But how to pool and share data, while maintaining sovereignty?
Topic: Trustworthy data exchange in the supply chain! Get to know the potential of a networked supply chain and how to use it for your company - with live demo. Sign up now!
Everyone is talking about it, but in praxis it shows: "The subject of AI is completely new territory." Automotive IT asked experts such as Prof. Dr. Chris Schlueter Langdon of T-Systems to explain how to avoid reinventing the wheel.
Data Intelligence Hub is listed by BDI as one of the leading B2B platforms for data exchange in Industry 4.0.
With consistent standards, Umati and the Data Intelligence Hub enable efficient data exchange in the industry.
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.
We asked leading data scientists: How do you spend the next US$1, on more data (quantity) or better data (quality)? And how to measure the quality and quantity of data?
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.
Intelligent mobility applications require large volumes of data. An OEM that sources, analyzes and utilizes this data, has a good chance to stay competitive.
Learn how to pull your data from the Azure blob storage and analyze it on the Data Intelligence Hub Jupyter Notebook.
The shift to new mobility services is seen as epic and rapid. In less than two vehicle generations a new service business is estimated to be as big as the auto business.
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?
There are various dependencies between the players in beverage production. A roles and rights system prevents unauthorized access during the exchange of production data.
Despite big investments in Data scientists, expensive IT infrastructure and tools, AI seems to be stuck in first gear. What's often missing is the right management approach - and the right recipe to orchestrate all the new ingredients ...
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.
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 – the Data intelligence Hub offers such an analytics service.
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.
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.
Big Data is promised to be the next big business. Yet, today, most companies don’t even know how big ‘big’ is, how to size data quantities properly. No surprise that profit is missing. Start measuring!
Stakeholders in the logistics industry can plan more efficiently with 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? Learn more about how a Telekom Team "walked the talk", used connected sensors and Data Analytics to uncover hidden production issues and improve quality.
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.
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.
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.
If “Time is Money”, then data analytics today is a disaster. Because at least 80% of the time budget of a data analytics project is spent on data preparation, not with analytics and results.