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2999: adMarketplace and the AI Revolution

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Contenuto fornito da Neil C. Hughes. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Neil C. Hughes o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

In this episode of Tech Talks Daily, I’m joined by Steven Read, an industry veteran who plays a pivotal role at adMarketplace, a company at the forefront of search advertising innovation. With over two decades of experience, adMarketplace has been instrumental in connecting high-purchase intent consumers with leading global brands like Home Depot, Wayfair, Best Buy, and Samsung through strategic, data-driven advertising. Steven brings a wealth of knowledge on how the rapidly evolving landscape of search advertising is being shaped by emerging technologies like conversational AI, large knowledge models (LKMs), and AI-driven automation.

During our conversation, Steven dives into the significant challenges of integrating search ads with conversational agents, a frontier that is both promising and complex. We explore the intricate process of aligning ads with these new AI-driven interfaces, focusing on user experience, alignment, and the critical role of incrementality in measuring success. Steven shares his insights into how these technologies are transforming search into a more engaging and conversational experience, and what that means for the future of digital advertising.

Another key topic we tackle is the decentralization of data. Steven provides a nuanced perspective on whether this trend is beneficial or detrimental to companies striving to optimize user experiences. We discuss how decentralizing data can empower better-informed decisions, yet also introduce challenges in measurement and consistency across different channels.

Steven also sheds light on the impact of large knowledge models (LKMs) and their potential to revolutionize the search ads industry. With LKMs reducing reliance on personal data and enhancing the ability to understand user intent, the landscape of search is poised for a transformation that could democratize access to advanced AI capabilities, enabling innovation beyond just the tech giants.

Finally, we delve into how adMarketplace is leveraging AI for automating processes like A/B testing and campaign optimization, allowing brands to gain deeper insights and accelerate development timelines. Steven emphasizes the importance of transparency, trust, and the evolving strategies required to connect with high-intent consumers in today’s fragmented search ecosystem.

Where do you see the future of search advertising heading, and how will AI continue to reshape this vital industry? Tune in to gain expert insights from Steven Read, and learn how adMarketplace is driving performance at scale in the ever-evolving world of search advertising.

  continue reading

2051 episodi

Artwork
iconCondividi
 
Manage episode 435129114 series 2391590
Contenuto fornito da Neil C. Hughes. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Neil C. Hughes o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

In this episode of Tech Talks Daily, I’m joined by Steven Read, an industry veteran who plays a pivotal role at adMarketplace, a company at the forefront of search advertising innovation. With over two decades of experience, adMarketplace has been instrumental in connecting high-purchase intent consumers with leading global brands like Home Depot, Wayfair, Best Buy, and Samsung through strategic, data-driven advertising. Steven brings a wealth of knowledge on how the rapidly evolving landscape of search advertising is being shaped by emerging technologies like conversational AI, large knowledge models (LKMs), and AI-driven automation.

During our conversation, Steven dives into the significant challenges of integrating search ads with conversational agents, a frontier that is both promising and complex. We explore the intricate process of aligning ads with these new AI-driven interfaces, focusing on user experience, alignment, and the critical role of incrementality in measuring success. Steven shares his insights into how these technologies are transforming search into a more engaging and conversational experience, and what that means for the future of digital advertising.

Another key topic we tackle is the decentralization of data. Steven provides a nuanced perspective on whether this trend is beneficial or detrimental to companies striving to optimize user experiences. We discuss how decentralizing data can empower better-informed decisions, yet also introduce challenges in measurement and consistency across different channels.

Steven also sheds light on the impact of large knowledge models (LKMs) and their potential to revolutionize the search ads industry. With LKMs reducing reliance on personal data and enhancing the ability to understand user intent, the landscape of search is poised for a transformation that could democratize access to advanced AI capabilities, enabling innovation beyond just the tech giants.

Finally, we delve into how adMarketplace is leveraging AI for automating processes like A/B testing and campaign optimization, allowing brands to gain deeper insights and accelerate development timelines. Steven emphasizes the importance of transparency, trust, and the evolving strategies required to connect with high-intent consumers in today’s fragmented search ecosystem.

Where do you see the future of search advertising heading, and how will AI continue to reshape this vital industry? Tune in to gain expert insights from Steven Read, and learn how adMarketplace is driving performance at scale in the ever-evolving world of search advertising.

  continue reading

2051 episodi

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