Deepfakes have the potential to transform the world for the better. What important are its applications? Learn about deepfake technology and how it may benefit companies and the globe. When applied ethically, deepfake technology has a lot of promise to assist enterprises. Here are some instances from actual life.
Lyrebird, a Canadian AI startup, makes unique goods utilizing deepfake voice technology. The firm collaborates with ALS Association on “Project Revoice” to assist those suffering from ALS, often known as Lou Gehrig’s illness. The initiative allows persons with ALS who have lost their capacity to speak to express themselves in their own real and distinctive voice.
Tangent.ai, an AI firm, has created deepfake-based e-commerce solutions. The technology allows customers to see how things will appear on them. A customer, for example, may alter a model’s hair color, lipstick, race, or ethnicity. Tangent’s customers raised their sign-up conversion rate by up to 64% after using the platform.
Deep fakes can also be employed in filmmaking. The technology can reproduce the faces of deceased performers so that their characters do not have to die with them. A noteworthy example of this is the restoration of Peter Cushing, who died in 1994 in Star Wars: Rogue One (2017). It’s also feasible to de-age performers using deepfakes as Will Smith did in Gemini Man.
Marketing Deepfake Technology
Rosebud AI, a San Francisco-based firm, generated modeling photographs using deepfake technology. They published a database of 25,000 modeling pictures of individuals that never existed and tools for inserting synthetic faces into any shot. Rosebud AI has also created a deepfake technology that can transfer clothing captured on mannequins to virtual yet lifelike models. In this approach, the firm hopes to assist small companies with limited resources in developing stronger picture portfolios with a wider range of faces.
Imagine having an influencer agree to be part of your advertising campaign. Still, they will provide you with twenty minutes of audio material and a few video clips. There is no need for a drawn-out picture shoot or days of shooting. Not only will it save you time, but it will also make it possible for you to create dynamic campaigns, also known as microtargeted advertising, on a large scale.
Take, for example, David Beckham’s advertisement for the year 2019’s malaria awareness campaign. The deepfake, which featured the soccer player speaking in nine different languages, is a fantastic illustration of how this deepfake technology can extend the reach of an advertising campaign. Translating an advertisement into different languages makes it possible for companies to easily enter new markets and communicate with customers in their local language while still reaping the benefits of using the image of an influential person or celebrity.
Hyper-Personalized Campaigns with Deepfake Technology
When put to productive use, deepfakes represent a technological innovation that is both innovative and ground-breaking for the marketing industry. If you work in the fashion business, you’ve likely seen models with various complexions, heights, and body types.
With the typical consumer viewing thousands of advertisements daily, it is important to use this technology to generate psychological ownership and perceive the product as an extension of oneself to break through the noise. It also assists advertisers in creating hyper-personalized advertisements. The advantages of designing a shopping experience that caters to numerous sectors imply that you may enjoy the benefits of targeted marketing.
Utilizing deepfake technology to make customized videos of your customers utilizing or wearing your items is yet another method for fostering a sense of ownership when employing deepfakes. For example, deepfakes allow customers to digitally put on the latest Gucci Ace shoe as part of a virtual try-on haul.
Marketers with experience know that giving customers the impression that they own the goods boosts the probability of making a sale. It emphasizes the sensory experience by demonstrating that the longer a person looks at and handles a product, the greater the likelihood they will purchase it. It is possible for deep learning to help trigger the same experience with a deepfake of the client at the wheel of the most recent BMW or a cosmetics look with the most recent MAC eyeshadow palette.
Educating Consumers With Deepfake Technology
Deepfake technology may be used to teach your customers how to utilize it and enhance their abilities. For example, if you’re a camera manufacturer like Canon, you may utilize an AI teacher to assist new photographers in learning more quickly. The technology may point out compositional flaws, recommend camera settings, and assist users in gradually mastering their gadgets. You might have prospective clients practice snapping images, learning from the AI, or evaluating their abilities against the deepfake during trade exhibitions. It may assist in creating an engaging experience, put the product in the hands of the customer, and begin to generate brand loyalty.