What efforts should digital leaders prioritize in order to support Google's AI?

Build highly specified silos within their organization to allow for specialization and multiple budget owners.

Build capabilities in key areas such as high-quality data and a skilled workforce.

Create firm budget processes to solidify digital marketing as an organization's cost center.

Coach teams to avoid experimentation in order to eliminate risk and keep performance stable year-over-year.


Choose an option to see if it’s correct. Check the explanation below. Learn Smarter, not Harder.

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Explanation: What efforts should digital leaders prioritize in order to support Google’s AI?


Explanation: The correct answer is to **build capabilities in key areas such as high-quality data and a skilled workforce**. Supporting Google's AI requires an organizational commitment to fostering the necessary infrastructure and talent to leverage AI effectively. High-quality data serves as the foundation for AI-driven insights and decision-making, emphasizing the importance of data collection, storage, and analysis capabilities. Moreover, having a skilled workforce proficient in AI-related technologies and methodologies is essential for translating data into actionable strategies and optimizing AI algorithms effectively. By prioritizing investments in these critical areas, digital leaders can empower their organizations to harness the full potential of Google's AI solutions, driving innovation, efficiency, and competitive advantage in the digital landscape.

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