The »Analytics and Computing« division combines the strengths of the »Financial Mathematics« and »High Performance Computing« departments to drive data-driven innovation in the digital economy across all industries.
On the methodological side, we combine data science, machine learning, and AI with stochastic modeling, simulation, optimization, and statistical methods. On the computing side, we are opening up new fields of application with high-performance computing and, in close cooperation with industry and science, developing tools for the efficient use of modern processors and parallel computers, right through to complete software solutions.
The combination of software and hardware expertise opens up special opportunities: from model-driven ideas to high-performance implementations to productive operation on scalable architectures. We also leverage synergies in quantum computing and next-generation computing to unlock future performance limits. Analytics and Computing thus addresses key future markets in digitalization, AI, and computing, delivering robust, scalable solutions – from data analytics and financial mathematics to HPC-optimized applications.