Case Study: a global insurance organization improves sentiment accuracy and boosts user adoption with KPI Partners' Databricks GenAI solution

Global Insurance Organization increases user adoption by 20% with KPI Partners

KPI Partners partnered with a leading global insurance organization to address challenges in its customer feedback analysis. The client, a large insurance and risk management firm, was using legacy sentiment models that struggled with nuanced and mixed client feedback. This led to inconsistent insights and a high manual effort to manage the model lifecycle, preventing scalable and accurate understanding of customer sentiment.

KPI Partners implemented a solution using Databricks and its Mosaic AI tools, including the Meta-Llama-3-70B-Instruct model via the Databricks Foundation Model APIs. This GenAI approach transformed the sentiment analysis process, simplifying the model lifecycle and enabling more accurate interpretation of client feedback. The work by KPI Partners resulted in a 20% increase in user adoption and significantly improved the organization's ability to derive meaningful insights to drive decision-making.