The weighted scale: Mitigating implicit bias in data science
An algorithm contains the biases of its builder. At Faraday, we have a handful of approaches we use to minimize these effects at each level of our machine learning pipeline.
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A collection of 4 posts
Third-party data in marketing: Why it's important and how to protect consumers' privacy
The use of third-party data isn't new, but it's becoming a necessity as businesses shift to a customer-centric approach. Marketers everywhere are realizing that first-party data is only the tip of the iceberg when it comes to understanding their customers.
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Is your marketing team AI-ready? 3 considerations for consumer marketers
Considerations for B2C marketers thinking about using AI. Establish clear goals, get your data in order, and choose the right implementation approach.
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What is customer lifecycle optimization and how does it work?
For nearly every B2C company, revenue is linked to the customer lifecycle. Leverage rich customer data and predictive analytics techniques to generate insights and make predictions that measurably improve outcomes at each stage of the customer lifecycle.
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