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In 2022 (and beyond), personalization is more important than ever. There is no room for broad, generalized marketing. Instead, customers crave and expect personalized experiences that subtly enable them to discover and find products they actually want. Data science is a powerful way to take personalization to the next level. However, it's not always readily accessible or actionable without engineers or data scientists.
Breinify is a personalization platform on a mission to democratize data science by finding ways to make predictive capabilities accessible to non-technical, yet data-driven marketing teams. Breinify's AI solution enables enterprise marketers to deliver predictive personalization in real-time and build more meaningful customer experiences. The platform blends traditional machine learning with temporal AI to predict a consumer's future interests, needs, and behaviors.
The algorithms enable dynamic segmentation and fully individualized personalization, which minimizes the manual involvement required from marketing and tech teams while producing top-tier results.
Diane Keng, co-founder, and CEO of Breinify, talks about democratizing data science, predictive personalization, and trends in this space to watch out for in 2022.
By Neil C. Hughes5
200200 ratings
In 2022 (and beyond), personalization is more important than ever. There is no room for broad, generalized marketing. Instead, customers crave and expect personalized experiences that subtly enable them to discover and find products they actually want. Data science is a powerful way to take personalization to the next level. However, it's not always readily accessible or actionable without engineers or data scientists.
Breinify is a personalization platform on a mission to democratize data science by finding ways to make predictive capabilities accessible to non-technical, yet data-driven marketing teams. Breinify's AI solution enables enterprise marketers to deliver predictive personalization in real-time and build more meaningful customer experiences. The platform blends traditional machine learning with temporal AI to predict a consumer's future interests, needs, and behaviors.
The algorithms enable dynamic segmentation and fully individualized personalization, which minimizes the manual involvement required from marketing and tech teams while producing top-tier results.
Diane Keng, co-founder, and CEO of Breinify, talks about democratizing data science, predictive personalization, and trends in this space to watch out for in 2022.

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