Generative AI in BigQuery DataFrames turns customer feedback into opportunities
Several new generative AI and ML capabilities in Google Cloud can help you build a scalable solution to this problem by allowing you to analyze unstructured customer feedback and identify
Our solution segments and summarizes customer feedback narratives from a large dataset. The BigQuery Public Dataset of the CFPB Consumer Complaint Database
It can generate text, translate languages, write creative content, and answer any question It’s in Vertex AI Generative AI
Vector representations capture word semantics and context. Generative AI on Vertex AI includes it
The BigQuery ML K-means model clusters data for segmentation. K-means is unsupervised, so model training and evaluation don’t require labels or data splitting
BigQuery DataFrames for ML and generative AI. BigQuery DataFrames, an open-source Python client, compiles popular Python APIs into scalable BigQuery SQL queries and API calls