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Slider 2 SILO: ENTERPRISE SILO: ENTERPRISE RISK MANAGEMENT SYSTEM
Slider 6 IMPOSSIBLE IS ONLY A OPINION
Slider 1 ARTIFICIAL INTERLLIGENCE ARTIFICIAL INTERLLIGENCE ARTIFICIAL INTERLLIGENCE
Slider 3 PREDICTIVE ANALYSIS PREDICTIVE ANALYSIS
Slider 4 RAPID APPLICATION DEVELOPMENT RAPID APPLICATION DEVELOPMENT
Slider 5 MOBILITY MOBILITY

Artificial Intelligence

Silo’s intelligence functions are defined into two separate disciplines.

a. Analytics: 

Silo implements a combination of neural networks, data modelling, shaping structures and machine intelligence to create an extremely powerful analytical ability embedded into all modules and aspects of the system. The resulting intelligence vehicle supports all major analytical mandates, namely descriptive, predictive and prescriptive knowledge sets. The temporal vector of these algorithms varies from real-time (less than 3 seconds) to scheduled or triggered processes. The architecture also supports the execution of ad-hoc algorithms, typically with very specific or unique objectives.

b. Automation: 

Being an operational system with real-time context, Silo requires that several system functions be automated. These functions may vary from the dissemination of key knowledge sets to the automation of management processes embedded in the solution’s operational scope. Automation is one of the key design principles in the architecture, based on the philosophy that an effective management system cannot be dependent on supervision or access by system users - the required knowledge and processes must find the use, not vice versa.