1 year ago
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Table of contents
- Introduction
- Methodology
- As AI’s text generation improves, marketers take calculated risks to adopt the tech
- AI is democratizing data analysis across the board
- As models proliferate and evolve, AI competition benefits marketers
- A brief guide to current large language model options
- Looming regulations create uncertainty for AI’s future
Introduction
Last November, Glossy+ Research released a report from our emerging technologies series that dove into artificial intelligence applications for marketers. Shortly after it was published, the discussion around AI shifted dramatically with the release of OpenAI’s ChatGPT, which has caused a paradigm shift toward generative AI. Public access to ChatGPT allowed individuals who did not have a background in advanced computer technology to experiment with and leverage AI technology while giving them a firsthand understanding of generative AI’s potential.
“With the release of ChatGPT, we brought AI into the collective consciousness,” Mira Murati, chief technology officer at OpenAI, said in an interview with the Wall Street Journal. “And people are paying attention because they’re not reading about it in the press. People are not just telling them about it, but they can play with it. They can interact with it and get a sense for the capabilities.”
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