RCLOUD Ai
Artificial Intelligent
AI recently told us that they’re already seeing moderate value from it. Although the widespread use of AI in business is still in its infancy and questions remain open about the pace of progress, as well as the possibility of achieving the holy grail of “general intelligence,”
Management
• Enterprise-wide definition of approved AI use cases based on organization vision and values • Independent review of model purpose, proposed analytic methods, anticipated variables, and intended use.
Development
loops built into the model-development and -redevelopment life cycle • Systematic tracking and reporting of all models’ performance, including errors and near misses .
Implement
Minimum data-quality requirements • Descriptive statistics and anomaly detection to identify potential quality issues
Deploment
Minimum data- and model-access requirements, including prevention of sensitive data download masked before data can be used in models
Technology-environment malfunction Data-center outage preventing new data from flowing into a live, next-product-to-buy model, leading to degraded or erroneous recommendations，End-to-end infrastructure and application resiliency controls, as well as detailed business-continuity planning and disaster recovery.
