Episode 7: Manish Shah & Denise Garth Interview with FF News

“Majesco data highlights impressive reductions such as 75% decrease in manual data entry for claim creation and a 93% reduction in task setup time. What specific features or technologies within Majesco Copilot are driving these gains?” We bring together multiple models, including foundational generative AI, as well as various machine learning models that are specifically trained for unique workflows and use cases in insurance. These models are orchestrated to collaborate on specific tasks we’re aiming to solve, and we complete the feedback loop by using our APIs to take action based on those recommendations. We don’t stop halfway with a list of seven recommended actions; instead, we execute them. With our platform’s robust API capabilities, we can turn these recommendations into actual API calls and get the work done. This creates a complete feedback loop where we generate intelligence from existing data, and that intelligence can then drive actions to produce more data.