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Aliya Itzkowitz and Sam Gould (Part Two): Potential of Multimodal AI and Autonomous AI Agents in Publishing
Jan 16, 2024
30:02
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Aliya Itzkowitz and Sam Gould discuss the potential of multimodal AI and AI agents in publishing. They explore use cases of multi-modal AI in publishing, the importance of unique content, the role of AI in journalism, and the potential of AI in personalized morning messages.
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Quick takeaways
- Multimodal AI can interpret images and provide rich information, offering opportunities for user engagement and internal efficiency in the publishing industry.
- AI agents have the potential to revolutionize how publishers interact with software and provide tailored user experiences, increasing efficiency and productivity.
Deep dives
The Rise of Multi-Modal AI in Publishing
Multi-modal AI is becoming a game-changer for publishers in 2024. Instead of generating new content, it focuses on interpreting images and providing rich information. This can be used for image description, recommendations, and conversion between formats. While these models are still not widely known or understood, there is a great opportunity for businesses to leverage them for user engagement and internal efficiency.
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