Search Solutions

The I-BiDaaS project aims to empower end-users to utilize and interact with big data technologies more easily.

The CSP solver is the heart of the IBM’s Data Fabrication Platform technology. The generated data is the solution of a constraint satisfaction problem created by the Platform engine out of the user defined data model.

SOFIA DSS is a model and data-driven system that addresses the challenge of personnel evaluation and recruitment.

The automotive after sales market is 44bn € in Germany alone. Our spare part recommendation engine allows car repair shops to deliver value with less human labor (increasing efficiency), allowing for higher value activities.

An easy way to export/ extract the sensor data (velocity, current, temperature)

BigDataStack will deliver a complete high-performance data-centric stack of technologies as a unique combined and cross-optimized offering that addresses the emerging needs of data operations and applications.

The key concept proposed in the DEEP Hybrid DataCloud project is the need to support intensive computing techniques that require specialized HPC hardware, like GPUs or low-latency interconnects, to explore very large datasets.

Key motivation of Cross-CPP project is to give cross-sectorial industries access to the great spectrum of sensor data coming from products from various industrial sectors (vehicles, smart home devices, etc.).

The objective of the Digital Twin for the Industry 4.0 product is the virtual representation of real devices and processes, which is linked to its physical counterparts not only through mechanic and geometric parameters, but also by their behaviour.

IRI (Industrial Robots Insight), is a predictive maintenance and energy control box for industrial robots, that solves all these problems to offer a manufacturer agnostic solution, open, which increases your savings and guarantee your production, without putting your data at risk.