By 2025, 30% of large organizations’ outbound marketing messages will be generated synthetically. By 2024, the European Union will pass legislation to mandate the “watermarking” of AI-generated artifacts. By 2023, over 80% of organizations will use some form of “watermarking”
Computer vision can analyze images and videos, according to Gartner’s report, “Use Generative AI to Improve Content and Customer Experiences.” The report further states that generative AI promises a new level of creativity and enhanced experiences through two primary methods, namely:
• Augmented: In this framework, generative AI creates artifacts to support higher-order creative tasks performed by humans. It optimizes existing creative workflows in collaboration with human operators who shape the AI’s generative behavior through reinforcement, for example by telling the generated item “more like this” or “less like this.”
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• Automation: In this case, generative AI produces unique artifacts in bulk with limited human intervention, beyond defining production parameters. For example, humans define brand guidelines for automated text development.
So far, most use cases have less than one percent of the target walk adoption, with some exceptions. In the meantime, it is believed that text generators like GPT-3 can be used to create marketing Short content, such as subject line creation, can be used to support A/B testing, while images can be generated for logos; human images can be generated for modeling. Additionally, videos can be created to showcase event highlights, immersive product experiences, and multilingual versions, the report says. Additionally, ads can be optimized by assembling content artifacts into combinations to support personalization.
According to Hubspot’s latest report, the AI in marketing market is expected to reach $107.5 billion by 2028, a massive increase from $15.84 billion in 2021. Furthermore, nearly 75% of marketers believe that AI will become a vital part of the workplace when it comes to automation, customer engagement, and data analytics. It is believed that AI-powered tools will act as an ace up a marketer’s sleeve. Another report titled “Transforming Small Business Content” by Goodcontent highlighted that nearly eight out of ten small businesses reported writing quality content.
The content itself. Additionally, 17% said they have an in-house writer and 14% work with freelancers. Today, a deeper look at the time spent on content writing showed that 48% of small business teams spend less than five hours per week writing content, while 32% spend between five and ten hours writing.
Currently, the most practical applications of generative AI have been observed in the field of text generation. This includes short-form content, such as versions of email subject lines, body copy, website content, or other textual elements that can be deployed and tested to support personalization efforts. When it comes to long-form content, test generators such as ChatGPT or GPT3 can be used to create marketing copy, news articles, poetry, and resumes.
Gartner said in its report that generative AI already enables the development of 3D models that can support product development, marketing, and e-commerce. Today, CV (computer vision) techniques are advancing these use cases. CV can create deep fakes and virtual influencers by replacing the original video with accurate visual facial features from another video or a set of images, allowing developers to update speech and images.
