Integration of models with rest of data for operationalization and efficiency

Pranay and Vedat discuss the importance of AI in creating business value, especially in customer experience. They highlight their work on a customer complaint analyzer, emphasizing the need for efficient resolution to keep customers satisfied and reduce churn. The complexity of analyzing complaints in multiple formats like text and voice is addressed, as well as the importance of data preparation in AI projects. The integration of predictive AI with GenAI is seen as a way to improve resolution processes and create sustainable AI solutions. They also discuss the role of GenAI in learning from past resolutions to improve future complaint handling and the potential for AI to augment human resolution agents for faster outcomes. The sustainability aspect of AI projects is noted, stressing the importance of making AI journeys more sustainable through optimal resource utilization and responsible data handling.