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AI Update, July 25, 2024: AI News and Views From the Past Week
Catch up on select AI news and developments from the past week or so. Stay in the know.
Generative AI has been adopted by many marketers as a solution to their budget cuts and layoffs, but it shouldn't replace humans. AI cannot build personal connections with customers, and customers can be skeptical of auto-generated content. To stand out and build authentic human-to-human relationships, marketers should use their own understanding of their audience. Generative AI is useful for brainstorming, researching, and finding popular topics, but it's not a long-term solution.
Podcasts are a great way to showcase human conversation, but AI can help with amplified marketing. It can help identify key takeaways, search a content repository, and compile audience data. Generative AI can help marketers maximize the value and reach of their content, but it cannot replicate the emotion and spontaneity of a human conversation.
The most successful brands are those that maintain a human connection, and customers will be drawn to unique and authentic brands. AI does not capture human emotions and understanding, so marketers should amplify candid conversations and use their own personal touch to create something truly original and authentically human.
Generative AI Can't Create Great Marketing, But It Can Help
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Catch up on select AI news and developments from the past week or so. Stay in the know.
Catch up on select AI news and developments from the past week or so. Stay in the know.
Most B2B marketing leaders say their teams have a moderate level of competency in using artificial intelligence applications, according to recent research from Demand Spring.
Catch up on select AI news and developments from the past two weeks or so. Stay in the know.
Discover key legal and ethical considerations for using AI in marketing from expert Ruth Carter. Follow these guidelines for compliance. Read more.
Business leaders increasingly have concerns about generative AI across a range of areas, including data security, cost, accuracy, and transparency, according to recent research.