This artificial intelligence makes it possible to deploy high precision predictions of customer behavior by combining data science, AI and automation. Faraday gives engineering and data science teams the tools to connect their existing data sources, define their prediction goals, and analyze results automatically. Thanks to an integrated database with more than 1,500 consumer attributes, as well as bias management functionalities for an AI responsible, Faraday simplifies the implementation of tailor-made predictive solutions, such as personalizing theme and the prediction of the next most suitable offer. Ready-to-use integrations with platforms like Snowflake and BigQuery allow for rapid integration and adaptation within work process existing, thus ensuring secure implementations in compliance with SOC-2 and CCPA standards.
This feature allows data science and engineering teams to Predicting customer behaviors in real time or in batches, thus facilitating optimized customer experience. An accurate prediction supports targeted marketing initiatives and increases conversion rates.
Access an integrated database with more than 1,500 attributes consumers, which simplifies the collection and data management. The feature ensures effective organization of information and helps resolve cases of duplicates and disparate data.
Engage mechanisms of detection and mitigation of biases to ensure ethical use of AI. This feature is critical to maintaining user trust and regulatory compliance, minimizing legal risks and possible discrimination.