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2959: PwC Explores the Future of AI and Customer-Centric Marketing

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Content provided by Neil C. Hughes. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Neil C. Hughes or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

How can organizations strike the right balance between personalization and privacy in their customer-centric strategies? In this episode of the Tech Talks Daily Podcast, I sit down with Brad Herndon from PwC to delve into this complex issue. Brad, with his extensive experience in AI and transformation practices, provides a deeper understanding of the critical role data quality and integration play in effective AI and analytics.

During our conversation, Brad highlights the importance of ensuring data quality and consistency across various customer touchpoints—a longstanding challenge for many organizations. He discusses how integrating disparate data sources is not only difficult but crucial for gaining a comprehensive understanding of customer behavior. Solutions like customer data platforms (CDPs) are pivotal in unifying customer data, providing a clearer context for customer interactions.

We also explore the delicate balance between personalization and privacy. Brad explains that while customers desire relevant experiences, they also value their privacy and trust. This has led to a shift from individualized personalization towards audience-based strategies, which mitigate the risk of crossing privacy boundaries. By leveraging consented data and focusing on audience segments, organizations can tailor their marketing efforts without feeling intrusive.

Brad sheds light on the practical adoption of AI, emphasizing that while AI has the potential to automate tasks and improve efficiency, its implementation will be gradual. He advises starting with small, manageable AI projects to enhance operations before expecting a widespread transformation.

In our discussion, Brad elaborates on the transition from people-based to audience-based marketing strategies. He notes that most organizations are closer to adopting audience-based personalization and that automating dynamic audience segmentation based on changing behaviors is key. Privacy-enhancing technologies like data clean rooms also play a vital role in this transition.

We wrap up by discussing the future of AI in marketing and operations, with Brad sharing his thoughts on how AI will progressively transform business practices. He also addresses common myths and highlights exciting developments in the field.

Join us in this episode as we navigate the intricacies of data management, personalization, and AI with insights from Brad Herndon of PwC. How do you see your organization balancing personalization with privacy? Share your thoughts and let’s continue the conversation.

  continue reading

2031 episodes

Artwork
iconShare
 
Manage episode 428273346 series 80936
Content provided by Neil C. Hughes. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Neil C. Hughes or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

How can organizations strike the right balance between personalization and privacy in their customer-centric strategies? In this episode of the Tech Talks Daily Podcast, I sit down with Brad Herndon from PwC to delve into this complex issue. Brad, with his extensive experience in AI and transformation practices, provides a deeper understanding of the critical role data quality and integration play in effective AI and analytics.

During our conversation, Brad highlights the importance of ensuring data quality and consistency across various customer touchpoints—a longstanding challenge for many organizations. He discusses how integrating disparate data sources is not only difficult but crucial for gaining a comprehensive understanding of customer behavior. Solutions like customer data platforms (CDPs) are pivotal in unifying customer data, providing a clearer context for customer interactions.

We also explore the delicate balance between personalization and privacy. Brad explains that while customers desire relevant experiences, they also value their privacy and trust. This has led to a shift from individualized personalization towards audience-based strategies, which mitigate the risk of crossing privacy boundaries. By leveraging consented data and focusing on audience segments, organizations can tailor their marketing efforts without feeling intrusive.

Brad sheds light on the practical adoption of AI, emphasizing that while AI has the potential to automate tasks and improve efficiency, its implementation will be gradual. He advises starting with small, manageable AI projects to enhance operations before expecting a widespread transformation.

In our discussion, Brad elaborates on the transition from people-based to audience-based marketing strategies. He notes that most organizations are closer to adopting audience-based personalization and that automating dynamic audience segmentation based on changing behaviors is key. Privacy-enhancing technologies like data clean rooms also play a vital role in this transition.

We wrap up by discussing the future of AI in marketing and operations, with Brad sharing his thoughts on how AI will progressively transform business practices. He also addresses common myths and highlights exciting developments in the field.

Join us in this episode as we navigate the intricacies of data management, personalization, and AI with insights from Brad Herndon of PwC. How do you see your organization balancing personalization with privacy? Share your thoughts and let’s continue the conversation.

  continue reading

2031 episodes

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