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Algorithm vs. Data: What Every Executive Should Know Before Implementing AI

AI has become a cornerstone of digital transformation and is a powerful tool in the marketer’s arsenal. While many feel that the power of AI derives from the algorithms or techniques used to implement learning and modeling, the nature of the data used to train AI algorithms, specifically it’s quality, depth and breadth, impacts outcomes far more than the technique itself.

This session explains this using common use cases and real-world case studies. Viewers will increase their understanding of AI fundamentals and leave with knowledge that will positively impact their usage of third-party data and their predictive modeling activities.

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