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Welcome to the premier of AI:Unlocks - Sound Advice for AI in Marketing with Megan Starkey, where we bring to you an experimental approach to podcast formatting including simulated discussions between humans and their AI avatars.
This episode delves into the $217 billion AI marketing revolution, unpacking why many companies are still struggling to keep pace and offering actionable strategies for leaders to bridge the gap between AI hype and real-world results. With thought-provoking insights, data-driven analysis, and practical frameworks, Antoine Ivan, and Megan's avatar deliver a dynamic discussion that balances inspiration with tangible value.
Whether you're a CMO leading digital transformation, a CEO mapping your AI strategy, or a marketing practitioner advancing your skills, this is your essential resource for staying ahead in the AI era.
We start with an overview of the AI in Marketing industry, giving you a broad, foundational understanding of where we are now, and where to go from here as we dive into the practical, complex challenges of AI in future episodes.
By Megan C. StarkeyWelcome to the premier of AI:Unlocks - Sound Advice for AI in Marketing with Megan Starkey, where we bring to you an experimental approach to podcast formatting including simulated discussions between humans and their AI avatars.
This episode delves into the $217 billion AI marketing revolution, unpacking why many companies are still struggling to keep pace and offering actionable strategies for leaders to bridge the gap between AI hype and real-world results. With thought-provoking insights, data-driven analysis, and practical frameworks, Antoine Ivan, and Megan's avatar deliver a dynamic discussion that balances inspiration with tangible value.
Whether you're a CMO leading digital transformation, a CEO mapping your AI strategy, or a marketing practitioner advancing your skills, this is your essential resource for staying ahead in the AI era.
We start with an overview of the AI in Marketing industry, giving you a broad, foundational understanding of where we are now, and where to go from here as we dive into the practical, complex challenges of AI in future episodes.