In marketing, AI is a term that is applied to several very different techniques and functions. However, the bigger questions are: how do you best implement AI, and what are the commercial solutions?
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How did NASCAR evolve its approach to data and analytics to drive success? Norris Scott, Vice President of Analytics & Insights, shared practices and tactics that are fueling fan base growth and boosting sponsor revenue.
What constitutes today’s “Mad Men” (or Women)? Clearly, data-driven marketing communications and customer management have changed the ad profession. But in the future who’s going to do the actual work of marketing, and which institutions will dominate? Harvard’s John Deighton dissects a media world dominated by the Internet’s “walled gardens,” IT consultants, and unrecognizable ad firms.
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Do the complexities of attribution hamper your ability to make the right decisions about your digital efforts? Learn how five different attribution models work, so you choose the one that aligns best with your situation.
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Looking for a guide to present data in a digestible and engaging manner? Noted Expert Lea Pica demonstrated how to make data-centric presentations compelling with advice on best practices, skills, and data visualization techniques.
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Where is Google focusing its AI efforts in advertising? What learnings have emerged from their work? Find out what Ben Royce, Head of Performance Data Science, Global Agency, at Google shared on these topics.
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Some say Artificial Intelligence is a broad field that includes everything from simple if-then rules for playing Checkers to complex ensembles of deep neural networks for piloting autonomous vehicles. In marketing, AI is a term that is applied to several very different techniques and functions. However, the bigger questions are: how do you best implement AI and what are the commercial solutions?
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The ARF has announced two new efforts to tackle data quality questions:
Data Labeling Initiative – with the ANA’s Data Marketing & Analytics division, the IAB Tech Lab, and the Coalition for Innovative Media Measurement (CIMM).
Data Validation Initiative – independently conducting research to determine whether surveys can be used to measure the accuracy of those targets.
