Computational Simulation
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Solutions Gallery > Computational Simulation
Solution overview
Financial firms are under pressure to grow their business while containing risk and complying with many regulations world-wide. Computational simulation is a key set of analytic tools that provide methods for studying a wide variety of models of real-world systems. Only through the creation of detailed simulations are we able to incorporate the dynamics, feedback and related complexities that are required to properly model real world events.
Agent Based Models (ABMs) are one innovative approach that has vast potential to improve our understanding of how micro-level behavior interacts to produce emergent macro-level outcomes. Adding ABM simulations to our analytics toolbox allows our customers to account for emergent phenomena, knife-edges of risk, contagion and states of the world in which our traditional Machine Learning models break down.
Simudyne’s simulation SDK leads the way in ABM and is the only simulation platform certified on Cloudera.
![Model, deploy and experiment diagram](jpg/simudyne-model-deploy-experiment.jpg)
Key highlights
Category
Security, Risk & Compliance
About Simudyne
Simudyne is a simulation technology company based in London. It uses advanced analytics and AI alongside agent-based modeling and simulation to help institutions, exchanges and governments solve complex problems and make better decisions.
Solution highlights
Cloudera has partnered with Simudyne to jointly bring a suite of advanced computational simulation capabilities to financial firms.
- Create high fidelity models of complex financial markets
- Run simulations at massive scale
- Evaluate and stress-test decisions in a safe environment
- Run in the cloud, on premises or in a hybrid environment
- Fully integrated into your big data platform