Originally published on Nomis Solutions
Most recommendation systems provide binary responses: approve or deny, raise rates or lower them. This article demonstrates how AI can provide nuanced decision support that goes far beyond simple yes/no recommendations.
Key Topics:
- Limitations of traditional rule-based recommendation systems
- How AI provides arguments for and against each decision
- Generating creative alternative solutions beyond predetermined options
- Contextual insights that adapt to unique circumstances
- Combining quantitative models with qualitative judgment
- The evolution from recommendation engines to AI business analysts