How much should you invest in in-house computing to support financial modeling? Should you buy the capacity to handle peak workload and accept that capacity will sometimes be idle? Or should you invest to support typical demand, knowing you'll be constrained during peak demand periods? It's a very difficult situation.
To solve this problem, Towers Watson offers insurers flexible choices for distributed grid computing with MoSes:
- In-house with MoSes HPC
- In the cloud with MoSes Azure, a software integration allowing you run MoSes models on Microsoft Windows Azure Cloud Services
- A seamless combination of both
With these options, you can have all the capacity you need when you need it, without investing in idle resources. And you can get precise financial modeling analytics quickly for improved management of risk and capital.
Secure And Reliable
MoSes Azure takes full advantage of the security features available in Windows Azure Cloud Services. Microsoft has achieved security compliance audit certifications for Windows Azure services from various compliance regulators (ISO 27001, SSAE 16, ISAE 3402, EU Model Clauses and HIPAA BAA). So you can be confident that your data is safely guarded during transmission, storage and processing in the cloud.
Windows Azure runs in geographically-dispersed data centers managed and operated by Microsoft, delivering a 99.95% service-level agreement for high availability while freeing you from the burden of maintaining the infrastructure. Microsoft operations staff have years of experience in delivering the world's largest online services with 24/7 continuity.
Cloud Computing Benefits
- Scalability on demand. Run your MoSes models on hundreds, or even thousands, of compute cores (if you like) to get precise analytics quickly.
- Flexibility. Use what you need, only when you need it, without investing capital to build or expand a data center.
- Data are exchanged with Windows Azure Cloud Services using Internet security protocols commonly used in banking and other sensitive online computing scenarios.
- Data are stored in the cloud using secure, private storage and results are deleted after successful transmission to users.
- Modeling jobs are run securely on Windows Azure compute nodes.
- Reliability. Windows Azure runs in geographically dispersed data centers managed and operated by Microsoft.
- Cost effectiveness. Rent what you need, minimizing your capital investment in data center hardware and related operating expenses.
Insurers can now take advantage of scalable, on-demand, cloud-based distributed processing for greater compute capacity, more modeling runs and greater accuracy.