Faraday simplifies sentiment analysis and generates personalized content using BigQuery ML and PaLM
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Published on ● Video Link: https://www.youtube.com/watch?v=luRR3cyMqrM
Faraday, a leading customer prediction platform, previously had to build data pipelines and join multiple datasets. By leveraging BigQuery ML and PaLM, they can not only simplify sentiment analysis, but also take customer sentiment, join it with additional customer first-party data, and feed it back into the LLMs to generate hyper-personalized content — all within BigQuery.