At its core, generative AI represents a subset of artificial intelligence designed to generate content, be it text, images or music. Unlike traditional AI models that respond or respond, Generative AI creates. From huge data sets, unique content is created that goes beyond the limits of what is historically possible.
This technology is not only revolutionizing the creative sector, but also has a significant economic impact. The global generative media market is expected to reach nearly million by 2025, showing its influential development.
But how does this new snowball-like technology, generative AI, work? Its complicated, although elusive, operation is based on the principle of production or creation. These AI systems, based on neural networks and a wealth of data, are refined to detect patterns. And when you ask a question, don’t just come up with a ready-made answer. Instead, they craft a thoughtful response based on their vast knowledge bank.
At the heart of this Magic is the neural network, in particular that of the Deep Learning type. They act like voracious learners who gobble up data, adapt and improve their content. And with each task or request, they refine their results and strangely reflect the creative nuances that we humans are proud of.
Human thinking vs AI creativity
The canvas of human creativity is painted with colors Of experience, emotion and personal insight. But with the advent of AI, a big question arises: can machines really participate in the field of creativity?
There are various thoughts and controversies about whether AI has the potential to be creative, and if so, is it fair to call it creativity?
Thus, a study on generative AI and creativity by Shiva Mayahi and Marko Vidrih highlights various perspectives on this subject. They refer to prominent artists like Leonel Moura, who suggests that AI could actually have a touch of a creative mind, and Harold Cohen, who counters with skepticism.
Every other day, more and more studies are conducted to discuss the potential of generative AI to be truly creative and to become a real creative entity. There is a growing body of research focused on how AI’s approach to problem solving could be linked to human Innovation. In a world increasingly mixed up with technology, understanding this relationship is essential for artists and technologists.
So there is an urgent need for quick turnarounds, but they should happen without sacrificing quality.
Everything related to human creativity, such as designing or creating content, can be done much faster thanks to the use of AI tools. You will introduce yourself and give The prompt, then let The AI generate it. You will be the one who will think about the problems and design solutions and you will be the one who will make the last magic touches.
Generative AI for Marketing
Digital Marketing, an industry synonymous with change and evolution, has welcomed a transformative player. But what makes generative AI an invaluable asset for marketers?
Content creation on steroids
The impact of generative AI on content creation is somewhat reminiscent of the massive change in mass production. On the one hand, you have traditional artists, designers, writers, etc. who with their dedication and can invest hours in their work.
Although there is an undeniable appreciation for the know-how of man-made content, there is a growing tendency to want to do things efficiently and consistently.
So where does generative AI come into play? Let’s see some real-time examples to better understand them:
Big players such as Unilever and Nestlé have already embarked on the journey of generative AI, in search of smarter advertising solutions. Their digital partners such as WPP saw the immense potential and followed suit with enthusiasm.
With advanced tools like Openais DALL-E 2, these brands have transformed their advertising campaigns. It’s not just about efficiency; it’s also about the end result. The CEO of WPP revealed that the savings achieved through generative AI can be staggering, ranging from “10 to 20 times”.”
