About this episode

Alan B. Hart discusses the importance of preparing marketing data for AI with Neha Kovach, focusing on data structure and customer insights.

What does "AI-ready data" look like in a modern marketing organization, and where can it create practical value for marketers? In today's episode Alan Hart talks with Neha Kovach about the practical work marketers may need to consider before AI can deliver real value. Neha is jeweler David Yurman's global head of customer resource management , data, customer experience and loyalty . Neha believes that getting data ready is less about volume , more about structure and context: cleaning it up, defining customers more clearly, and turning general customer data into signals that can guide action — like how recently someone purchased or how close they are to a milestone. She suggests the bigger opportunity for AI may not be routine service, but rather helping marketers improve conversion, retention, and personalization with more relevant timing and messaging. She also points to a separate operational benefit: increasing workforce capacity by helping teams work more efficiently. Looking ahead, she also explores what it might take for brands to compete in a world where AI agents may increasingly shape what customers see, consider and buy. In this episode, you'll hear about : Ways to…

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