CPG and Why The Best AI Projects Start with a Business Problem
Lu Cotterill is Global Senior Director, Full Funnel Marketing AI / ML at Kellanova (which spun out of legendary brand Kellogg). As a marketer in the CPG space, she’s always searching for the best data available to inform business decisions. In her current role, she focuses on how AI can help them better reach customers. CPG has its own set of challenges, but Lu has found the best way to test use cases for AI and ML is by starting with a business problem - not the technology - first.
Episode 12 of the Decoding AI for Marketing podcast, hosted by Louise Cotterill, Rex Briggs, Greg Stuart, titled "CPG and Why The Best AI Projects Start with a Business Problem" was published on April 9, 2024 and runs 38 minutes.
April 9, 2024 ·38m · Decoding AI for Marketing
Summary
Lu Cotterill is Global Senior Director, Full Funnel Marketing AI / ML at Kellanova (which spun out of legendary brand Kellogg). As a marketer in the CPG space, she’s always searching for the best data available to inform business decisions. In her current role, she focuses on how AI can help them better reach customers. CPG has its own set of challenges, but Lu has found the best way to test use cases for AI and ML is by starting with a business problem - not the technology - first.
Episode Description
Lu Cotterill is Global Senior Director, Full Funnel Marketing AI / ML at Kellanova (which spun out of legendary brand Kellogg). As a marketer in the CPG space, she’s always searching for the best data available to inform business decisions. In her current role, she focuses on how AI can help them better reach customers. CPG has its own set of challenges, but Lu has found the best way to test use cases for AI and ML is by starting with a business problem - not the technology - first.
For Further Reading:
https://www.iab.com/blog/how-retailers-are-using-data-clean-rooms/
https://www.mmaglobal.com/datt/consortium-for-ai-personalization
Listen on your favorite podcast app: https://pod.link/1715735755
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