LinkedIn Live Replay + Q&A
Machine learning can be applied to innovate products, automate processes, and improve customer experiences. While AI is often hyped as a replacement for people, in reality, ML models can get confused by exceptions, edge cases, and unusual data, and when that happens, a person — sometimes called a human in the loop (HITL) — must get involved.
This second LinkedIn Live discussion in our three-part series explored combining business rules and advanced analytics predictions. An ongoing theme will be how to incorporate HITL when these processes need help.
Watch a replay of our discussion with James Taylor, Founder and CEO of Decision Management Solutions, and learn:
- Why it pays to have humans in the loop when combining business rules and propensity score models
- Tips for deploying people more strategically to ease decision management and ML challenges
- How to design an HITL approach for better model outcomes
