On this episode of the “Gen AI Breakthrough" podcast, Kyle McNabb hosts a discussion on the importance of proof of concept (POC) in testing AI solutions, highlighting its role in feasibility assessment and resource efficiency. Guests Kyle Robichaud and Jay Ruffin emphasize key factors such as data quality, risk mitigation, and alignment with organizational goals that influence the success of POCs. Additionally, it addresses the need for continuous education and effective communication to bridge the gap between executives and implementation teams.
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