Computational Simulation
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.
Key highlights
Category
Security, Risk & Compliance
About Simudyne
Simudyne was founded with the goal of improving decision making across both private and public sectors by leveraging advances in computational power and complexity science. Tier 1 banks are already using Simudyne’s SDK to address challenges relating to credit risk, stress testing, and improving customer insights.
Solution highlights
The first simulation toolkit that enables senior decision makers to run ‘what-if’ scenarios directly from the visualization layer
Certified on Cloudera
Scales up in the cloud
One source of truth: data is centrally located, governed and secured
More accurate models due to bottom-up approach with Agent Based Modeling
Faster implementation with cloud deployment
