All of our latest and most popular advice about generative AI are in this one email.
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Like so many burning hot trends before it…
Generative AI is taking a breather after nearly a year of breathless hype. While GenAI has a bright future, brands are starting to view it more clear-eyed—both its strengths and weaknesses. Only 47% of companies view GenAI positively, according to a Lucidworks survey, with the biggest concerns being around security, accuracy, and transparency. Cooling enthusiasm is also showing up in ChatGPT usage, which is down 29% since May, according to Datos and SparkToro research. The punchline is that brands aren’t going to be left behind if they’re not all-in on GenAI today. You have time to explore and test and see how an evolving GenAI toolbox makes the most sense for your brand.
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Alex Stegall
Director of Analytic & Strategic Services,
Oracle Marketing Consulting
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In this issue: |
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GenAI for coding |
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GenAI for images |
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GenAI for text |
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GenAI for personalization |
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Brand trust in the age of GenAI |
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As when generating text and images, marketers have a full spectrum of possible use cases when using generative AI for coding.
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Generative AI can be a powerful tool for creating images, but has 4 major drawbacks.
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Generative AI can be a powerful way to create text content, but marketers should safeguard against the 8 major weaknesses of these tools.
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Generative AI personalization isn’t realistic at any significant scale, with any degree of automation, and with any reliable expectation of increased performance—much less a positive return on investment.
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With generative AI expected to steal considerable market share from search, brands have two major levers they can pull to protect themselves—one defensive and one offensive.
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