That platform bills itself as bringing to life “the science-fiction dream of open-ended conversations and collaboration with computers.”
When OpenAI launched ChatGPT, the AI chatbot, on Nov. 30, 2022, it made generative AI into a reality accessible to everyone. That then opened the floodgates to a new tech — publicly available AI programs include Midjourney and Dall-E — image-generating AI poised to transform the world as we know it. “Trying gen AI and truly incorporating it into your business are two very different things,” said Keaney Anderson. “Where we are at right now is everybody knows the magic trick. What businesses are trying to figure out now is: What do we do next with this? What kind of role is this going to play in our content strategies and in our marketing overall?”
“We’re at a transformation point, really across industries,” said Sarah Mody, senior product marketing manager, global search and AI at Microsoft. “AI is going to accelerate the levels of creativity, of productivity. It’s going to supercharge everything that we can do, whether we’re a consumer or someone who’s working to serve consumers.
In other words, if an AI platform is just given prompts to generate a text or image, most people would say there’s no meaningful creative input by the person, and therefore there’s no copyright — and anybody can copy it. However, if there’s some human input that can change things.Jasper launched in January 2021 and gained traction quickly.
“We see all sorts of other use cases, when you bring in things like art and video,” said Keaney Anderson.She believes the big questions now are: Where does AI-generated content go next? And, how does a consumer-packaged-goods or business-to-business company adopt it into its work operations? “There’s memory in it, so you only have to do it once,” said Keaney Anderson, explaining a customer’s data and training remains proprietary to them.“We really see this like a tool, it’s an accelerator,” she said. “This is an enabler for writers, marketers, creators to move through the heavy parts of composition and be able to have that time back to focus on new angles, new ideas — the strategy behind the content.
Particularly in the beauty and fashion industries, Stability AI anticipates brands offering “virtual photoshoot” applications.“This can be achieved via a technique that injects previously unseen images into the space of what a generative model can represent,” said Hodesdon. “Crucially, this technique is very rapid and cheap — in the order of seconds and cents, rather than the millions of dollars it costs to train the base model from scratch.
Dillie cofounders Laughlin and Jacobo Lumbreras currently see generative AI focused on simple tasks, such as pack shots and alt images for product pages, which are key for online discoverability and conversion today. Rising brands wanting to produce content at scale featuring products on a page or running A/B tests have shown the most interest in Dillie’s AI service to date, which remains in closed beta.
The company realized that simple digital filters basically blur skin and their effects are unrealistic. Perfect Corp. also just introduced AI Magic Avatar, which permits users to apply a design style to a face and its background in a photo in real time. Take a hypothetical: You wake up Sunday and want to wear a glossy pink flower aquatic-inspired dress with 3D makeup and hat. That’s the prompt given before you step outside in the desired virtual look. This could be in the metaverse, or someday IRL, thanks to a worldwide AI network and ubiquitous AR glasses.
“This automates the process and removes the bias that someone might have just assuming darker skin tones fall into certain categories,” said Mejia.The patent-pending tech was originally ideated for the beauty industry, with social proof in mind. For hair color, 15 people might have tried a blond colorant suggested by the platform. Did they all review the color positively?
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