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.
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 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.
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.
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.
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.
With consistent standards, Umati and the Data Intelligence Hub enable efficient data exchange in the industry.
Intelligent mobility applications require large volumes of data. An OEM that sources, analyzes and utilizes this data, has a good chance to stay competitive.
There are various dependencies between the players in beverage production. A roles and rights system prevents unauthorized access during the exchange of production data.
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.
Stakeholders in the logistics industry can plan more efficiently with 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.