Home » Myths and Realities of Data and Machine Learning in Marketing digital marketing analytics in theory

Myths and Realities of Data and Machine Learning in Marketing digital marketing analytics in theory



Data and machine learning can help move the needle for brands, but it’s often challenging for marketers to know where to start—and what’s fact vs. fiction. In this talk at the BRITE ’19 Conference, Catherine Williams, chief data scientist for AT&T’s advertising and analytics company Xandr, will examine some myths and realities of data and machine learning in the marketing space—and how brands and enterprises can leverage these tools to accelerate their businesses.

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The BRITE conference on brands, innovation and technology is presented yearly by the Center on Global Brand Leadership at Columbia Business School.

www.briteconference.com

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www.gsb.columbia.edu/globalbrands

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Myths and Realities of Data and Machine Learning in Marketing

Myths and Realities of Data and Machine Learning in Marketing

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Myths and Realities of Data and Machine Learning in Marketing
digital marketing analytics in theory
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