In the rapidly changing IT landscape, companies need flexible data integration tools. The integration of cloud and on-premises systems in real time is becoming increasingly important. Five key functions ensure a successful, future-proof data strategy.
Efficient analyses
If data is the oil of the 21st century, most companies are sitting on huge deposits that they can no longer extract on their own. In order to gain truly valuable insights from the growing masses of data, they need efficient analyses – such as data mining.
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Retail Analytics
From predicting the measurements of a patient in an intensive care unit to forecasting the movement of economic rhythms – forecasting makes it possible to predict the future with a certain degree of certainty and plan accordingly.
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Achieving sustainability goals
In times of climate crisis, companies want and need to operate more sustainably in order to reduce their carbon footprint. To achieve this, most organizations are actively working on sustainability strategies or already have them in place.
Flood of data
Today’s companies are faced with a constantly growing flood of data. In addition, many are struggling with a large number of different monitoring tools in order to get to grips with these volumes of data and prepare them for well-founded decisions.
Computer vision and the data-centric AI pipeline
Data-Centric AI (DCAI) represents a pioneering approach in AI by focusing on the quality and relevance of data to optimize machine learning models and system performance.
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Comment: Bring Your Own Model
When a technology, system or solution is to be successfully transferred from the test or pilot phase to the production environment, there are often difficulties with scaling and performance or even data quality, availability and maintenance.
5 steps
The days when company data was restricted to the company network are long gone. Today, it can be found practically everywhere: on the web, in the cloud and on a wide variety of end devices – including private ones. How can data security be implemented reliably and efficiently in such a
Comment
It is no longer a secret that big data can have a significant impact on the environment. Data helps to streamline processes, make environmental policy decisions and develop new, more sustainable ways of working.
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19.02.2025
 - 20.02.2025
Berlin

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