Lina Hinterseer, dual Bachelor student in Business Information Systems at FOM Berlin. In her role at T-Systems, she supports content creation and marketing activities. She is involved in website optimization with focus on website usability and SEO.
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.
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.
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.
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.
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.
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.