This artificial intelligence enables you to deploy predictions of customer behavior with high accuracy by combining data science, AI and automation. Faraday offers engineering and data science teams the tools to connect their existing data sources, define their prediction objectives, and analyze results automatically. Thanks to an integrated database containing more than 1,500 consumer attributes, as well as bias-management features for a AI, Faraday simplifies the deployment of tailor-made predictive solutions, such as the personalization thematic and the prediction of the next best offer. Ready-to-use integrations with platforms like Snowflake and BigQuery enable rapid insertion and adaptation within existing workflows, thus ensuring secure implementations in compliance with SOC-2 and CCPA standards.
This feature enables data science and engineering teams to predict customer behaviors in real time or in batches, thereby facilitating an optimized customer experience. A precise prediction supports targeted marketing initiatives and increases conversion rates.
Access an integrated database with more than 1,500 attributes of consumers, which simplifies data collection and data management. The feature ensures efficient organization of information and helps resolve duplicate and disparate data issues.
Engage mechanisms for detection and mitigation of biases to ensure ethical AI usage. This feature is essential to maintain user trust and the regulatory compliance, minimizing legal risks and potential discrimination.