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In this episode of the AI-Driven Marketer, Dan Sanchez has Courtney Baker back to navigate the evolving landscape of AI. This time they talk about who should own AI in a company, the necessity for both bottom-up adoption and top-down strategic deployment, and the critical importance of data-driven decision-making. They entertain game-changing AI versus everyday AI, the budding idea of a dedicated Chief AI Officer, and the challenges big companies face in AI project failure rates.
Timestamps:
00:00 AI perceptions as technology project with concerns. Analogies: Internet, remote work, technology dependence.
05:26 Leaders consider ownership and impact across departments.
08:44 Organizations exploring AI for managing knowledge.
11:52 Executives use KPIs to leverage AI experimentation.
15:59 Marketing leader's need to collaborate for success.
17:13 Discussion on hiring AI technologist and implications.
21:10 AI replacing roles without hands-on experience.
26:44 Differentiating intelligent automation from human-like AI.
29:04 Maximizing potential and responsibility in leadership moments.
30:55 Leveraging data is key for strategic choices.
34:05 Lead marketing efforts, involve others for success.
By Dan Sanchez5
2929 ratings
In this episode of the AI-Driven Marketer, Dan Sanchez has Courtney Baker back to navigate the evolving landscape of AI. This time they talk about who should own AI in a company, the necessity for both bottom-up adoption and top-down strategic deployment, and the critical importance of data-driven decision-making. They entertain game-changing AI versus everyday AI, the budding idea of a dedicated Chief AI Officer, and the challenges big companies face in AI project failure rates.
Timestamps:
00:00 AI perceptions as technology project with concerns. Analogies: Internet, remote work, technology dependence.
05:26 Leaders consider ownership and impact across departments.
08:44 Organizations exploring AI for managing knowledge.
11:52 Executives use KPIs to leverage AI experimentation.
15:59 Marketing leader's need to collaborate for success.
17:13 Discussion on hiring AI technologist and implications.
21:10 AI replacing roles without hands-on experience.
26:44 Differentiating intelligent automation from human-like AI.
29:04 Maximizing potential and responsibility in leadership moments.
30:55 Leveraging data is key for strategic choices.
34:05 Lead marketing efforts, involve others for success.

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