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AI Trends from 700+ Business Leaders Reveal Global Keys to Success

Salesforce Marketing Cloud

” Link Copied Trust also emerges as a primary concern , with respondents citing security issues and skepticism about the output quality of generative AI. It’s not just about being able to see your entire customer, it’s about being able to execute quickly on those insights. Find what works 2.

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How to craft an effective AI use policy for marketing

Sprout Social

While millions are enthusiastic about embracing AI to achieve greater speed and agility within their organizations, there are others who remain skeptical—pretty common in the early phases of tech adoption cycles. Most companies were uncertain of the groundbreaking tech—concerned about data security and compliance requirements.

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The Responsible Approach to Generative AI

Content Standard

Foundational models are often trained on copyrighted works but don’t provide reliable sourcing in their results. They are cloud-based platforms that allow users to interface with pre-trained AI models directly in an unstructured environment.

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Generative AI faces more regulatory and legal challenges

Martech

With creative workers across the board, including marketers, looking to a future of generative AI-powered content creation, some of the highest profile vendors of the disruptive technology are facing regulatory inspection and at least one lawsuit. Been using this private property to train its AI technology, including its chatbot, Bard.

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AI ethics: How marketers should embrace innovation responsibly

Sprout Social

Comments like these just scratch the surface of ethical concerns across industries, but the top issues for marketers include: job security, privacy, bias and discrimination, misinformation and disinformation, and intellectual property/copyright issues, which we’ll dive into detail in the next section.

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What’s behind the MarTechBot curtain?

Martech

Thanks to Marc Sirkin and the team at MarTech for allowing me behind the curtain of MarTechBot, providing insider access to how it’s being trained, the underlying tech, and the real-time learnings. Sirkin and I discussed the implications of the contextual “MMM” prompt that he posted about. And led to further reflection.

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A Practical Guide to Using AI in Email Marketing (For the Conscientious Marketer)

Litmus

The most prevalent concerns around AI include: Privacy and surveillance Bias and discrimination Inaccurate data Copyright infringement Plagiarism Data breaches Those are some heavy-hitting issues. Here are some of our team’s practical, no-nonsense guidelines for using AI in email marketing: Vet your vendors.