Check out all the on-demand sessions from the Intelligent Security Summit here.
Gartner recently released its list of 7 Technology Disruptions That Will Impact Sales Through 2027. One was generative Artificial Intelligence. Gartner defined generative AI as AI that “learns from existing content artifacts to generate new, realistic artifacts that reflect the characteristics of the training data, but do not repeat it.” In simple terms, it can produce entirely new content, like images, videos, text and code, with very simple inputs.
Generative AI is going to completely alter the marketing landscape, among many other areas. For example, type any combination of descriptors into OpenAI’s DALL·E 2, and AI creates realistic and/or artistic images. In fact, the title image of this piece was created using that technology by simply typing the phrase: “How generative AI will help marketing teams around the world.” Suddenly, any firm can become a one-stop creative shop with tools that can increase efficiency and creativity.
With nearly limitless possibilities, what does this mean for professionals and their job security?
While new AI tools are changing marketing, they’re not entirely replacing human marketers. At nearly every AI company that I represented at my communications firm, the computer intelligence was there to augment people’s abilities — but not fully supplant it. While the AI’s capacity to make new things possible was unmistakable, these tasks were best executed with an expert’s touch at the end to make final decisions.
Intelligent Security Summit On-Demand
Learn the critical role of AI & ML in cybersecurity and industry specific case studies. Watch on-demand sessions today.
Here are three ways to increase a marketing firm’s range by using new AI tools while still keeping professionals in the creative driver’s seat.
Foster unlimited brainstorming potential with generative AI
Few things haunt a marketer quite like a blank page, and often the first step is the hardest. That’s where generative AI can come to the rescue. According to a blog by Sequoia Capital, this technology will help users “thrive from a tight iterative creative cycle between human and machine.” These sped-up cycles can be very advantageous early in any initiative.
If a visually-driven project needs inspiration, programs like DALL-E 2 or Stable Diffusion can rapidly generate images from text prompts. These distinctive works can either fuel new creative ideas, or be the jumping off point for visual artists to build upon. For the linguistically minded, products like Jasper and Copy.ai use generative AI to help get marketing copy ideas flowing. Not only can these increase anyone’s imaginative capacity, but Sequoia believes that generative AI can make workers at least 10% more efficient and/or creative.
Hack creative brains for new inputs
Beyond simply brainstorming, these tools can expand business offerings by creating visuals to their writing, enhanced copy to their visual images, or even unearth wholly novel creative realms. This is a game changer for smaller firms, where you can now add a new dimension to your work. If someone is generally a visual artist, I suggest using AI-generated content sparingly at first and pay attention to what it comes up with. Or, for those who are deft copywriters, start by creating images as a way to augment an article, blog, press release, etc.
The most promising development in generative AI’s semantic creativity is the tsunami being produced by OpenAI’s ChatGPT. Akin to DALL·E 2’s ability to transform language into brilliant images, ChatGPT’s model does the same thing with words and is trained to interact in a conversational way. Prompts to explain complex topics are produced with ease, but where ChatGPT shines is in the more imaginative requests. Just check out its answer to “write a biblical verse in the style of the King James bible explaining how to remove a peanut butter sandwich from a VCR.” This is cultivating exponential imaginative potential right before marketers’ eyes.
While this technology is still in its infancy, people should proceed cautiously and use them with continual supervision. The key to implementing any of these powerful programs is to start small and build up, all while acclimating to how these tools operate. While they may be generating the final product, starting slowly will help users define input processes — thus fostering unique and on-brand outcomes.
Constantly iterate at speed
One key element of a marketer’s job is to craft foundational brand elements — from written messaging and position to brand logos, colors and more — and constantly tweak concepts on the go. Rowan Curran, a Forrester AI/ML and data science analyst, cites speed constraints as a reason for adopting generative AI. According to his report, “Human-produced content creation will never be fast enough to address the need for personalized content at scale, and in the next year, we expect to see at least 10% of [Fortune 500] companies invest in AI-supported digital content creation.” Like Curran, Gartner predicts that by 2025, 30% of outbound messages from large organizations will be synthetically generated. This means that iterations can happen at much faster speeds.
There’s also an opportunity for companies to unlock new content from unlikely sources. For example, a marketing lead can have their writers create generative AI images, and their designers bring their visual minds to work on AI-assisted copy. All of a sudden, there will be entirely new concepts created by hacking into creative minds traversing unusual media — all unlocked by generative AI.
So, does this spell the end of the marketer? Not quite. Campaigns still require expert oversight at the end to ensure that content is fully within a brand’s ethos and are deployed in the right place and at the right time. However, make no mistake: these processes will soon become fully intertwined with human-powered content creation.
Peter Weltman is a public relations and communications specialist for Man of the World Media.
Welcome to the VentureBeat community!
DataDecisionMakers is where experts, including the technical people doing data work, can share data-related insights and innovation.
If you want to read about cutting-edge ideas and up-to-date information, best practices, and the future of data and data tech, join us at DataDecisionMakers.
You might even consider contributing an article of your own!
Read More From DataDecisionMakers