Generative AI stands at the forefront of the tech-driven era with its transformative capabilities, expanding business opportunities with AI creativity and groundbreaking innovative ideas.
Updated 24 January 2024
CEO at Appventurez
We all have discovered the potential of artificial intelligence — revolutionizing the customer experience with existing information. But with generative AI services, personalization will go beyond the imagination, tailoring the experience to exactly how the customers want.
A recent survey by Salesforce revealed that 68% of the respondents believe that generative AI can help them better serve their customers. In fact, 86% of top IT leaders expect this technology to play a prominent role in their businesses in the future.
There is no doubt that generative AI holds the potential to develop, iterate, and optimize solutions to the most complicated problems. Now, the question is how this technology augments AI creativity and accelerates innovation to improve business productivity. Let’s figure out.
You might have already heard or read about Generative AI. It is an advanced technology that helps “generate” text, images, speech, audio, video, and even code by harnessing the power of artificial intelligence.
Well, the utilization of generative AI in a way that provides creative solutions to users is AI creativity. However, it is not just an extended version of AI, it’s beyond that.
Conventional AI systems were based on predefined rules and data patterns. But the same isn’t the case with GenAI systems. They leverage complex neural networks to learn from humongous data sets, helping them autonomously generate outputs.
That’s how AI creativity helps us explore the realm of innovation that earlier seemed unimaginable. Besides, this technology holds the potential to resolve complex problems that have been challenging to humans.
“But that doesn’t mean generative AI will replace human artists, writers, designers, or any other creative professional. Generative ideas are developed to help augment human creativity to an unprecedented degree — something that we might have never imagined!”
– Ajay Kumar
However, the path to exploring ingenious ideas that are also productive for businesses is a tough nut to crack. Several challenges come into the way while capitalizing on innovation.
The role of AI in business seems irreplaceable now. Businesses are constantly leveraging the benefits of this technology to enhance their operational efficiency and reduce excessive costs. However, there are a few challenges that businesses find hard to address.
Creative AI solutions work on datasets and information fed to them. If this data is not up to the mark and lacks quality, the generated results could be ethically flawed or not address the problems of the users.
Therefore, to ensure that content developed with AI creativity is accurate, businesses need robust data strategy, management practices, and data governance frameworks, which is undoubtedly a challenging task.
In order to standardize innovation, the first and foremost step is crowdsourcing, that is, collecting an enormous amount of generative ideas and evaluating them.
However, when there is no efficient way to analyze and pick a suitable idea, this could turn into a situation of ‘idea evaluation overload’. This can further lead to:
Another challenge businesses face in leveraging innovation for growth, particularly in emerging technical domains like AI, is the scarcity of experts with the essential skill set.
As a business owner focusing on innovative growth, you might need professionals with expertise in specific fields. This can include experts in designing, data analysis, programming, natural language processing services, machine learning development, deep learning, and many other domains based on project requirements.
Thus, finding the right individuals who can effectively implement and manage advanced tools and technologies with a profound understanding can be a significant obstacle.
By utilizing the power of AI creativity, businesses can significantly overcome the aforementioned challenges and make the best use of the technology.
Businesses can leverage generative AI to enhance the quality of data. The technology is capable of formulating advanced data quality standards and metrics. Here is how AI creativity can be used to analyze the quality of data:
One of the best things about generative AI is that it forms associations among different concepts and generates creative results based on them. This helps promote divergent thinking which in turn enhances the scope of innovation.
For instance, Midjourney, one of the prominent text-to-image formation tools, can easily create immersive designs and graphics based on user-provided textual prompts. Businesses that deal with customized products can use Midjourney to showcase different versions of their products to enhance customer experience. Here is one example that better illustrates this:
For businesses like the above, AI creativity can help save the money invested in professional photoshoots and provide a large number of versions for the same product.
With a diverse range of suggestions and concepts, individuals can think outside the box and explore innovative ideas they might not have considered otherwise.
Combining or merging an enormous number of ideas to form feasible and strong ones is another notable challenge for businesses. Generative AI tools like ChatGPT or Midjourney can help in the process.
For example, consider you are a marketing company that needs content ideas to create a short ad campaign. With the help of ChatGPT, you can easily get different versions for the same. Further, you can pick one or merge the ideas to create the apt content for your personalized ad campaign.
Besides, AI creativity can also help in assessing the ideas better:
AI creativity makes the co-creation of new products and services much easier and more affordable. This technology facilitates easy collaboration between an artist (designer or writer) and users of the prospective products.
Apart from content generation, businesses can use generative AI to formulate effective content strategies based on the available resources and requirements. It saves the part of time businesses invest in the critical thinking process.
The marketing department in any enterprise mostly prefers designs that convey their organization’s values, mission, goal, and branding. With AI creativity, personalized and interactive designs can be created, attracting the attention of the target audience. And the best part is that all this could be done with minimal skills and resources.
Generative AI can play a significant role for businesses by making creative tools and processes more accessible, inclusive, and cost-effective. The right usage of AI creativity enables a wider section of people to participate in and benefit from the innovation process.
AI creativity improves the innovation process by providing accessible tools that individuals and organizations can use to generate creative content, solutions, and ideas. These tools often do not require in-depth technical expertise, making them more widely accessible.
One of the reasons why creative AI solutions gain popularity is that they save the time of the users indulged in resolving complex, time-consuming tasks.
Programmers and testers are often using ChatGPT to find code excerpts, saving the time and effort that could be invested in other critical parts of the project.
One of the best things about genAI solutions is that they generate multiple solutions to complex human problems. This aids in broadening the range of innovative ideas and improves customer experience with AI.
Generative AI tools can be cost-effective, which makes innovation more accessible to smaller businesses and individuals with limited resources. This affordability is a key aspect of democratizing innovation, ensuring that financial constraints do not limit creativity.
Another benefit of using AI creativity is improving one’s skills to develop more innovative products. For instance, businesses can get realistic simulations developed for hands-on practice, enabling their employees to get practical experience and hone their skills.
Generative AI has transformed the human approach toward artificial intelligence. Below are some of the most significant generative AI examples and use cases.
Users often struggle with ideation, especially when they are working on a project that is quite unfamiliar to them. In such cases, generative AI acts as their helping hand. But do you know how?
Let’s take the example of ChatGPT, one of the most popular generative AI tools. Based on the generative pre-trained transformer (GPT) architecture, this large language model uses a neural network and deep learning algorithms to create customized content.
It is pre-trained on large data sets, including websites, articles, and even books to understand the basics of natural language. With the right training and an ample amount of information, ChatGPT can easily create content in the same tone and style the user asks for.
Some of the most popular tools known for generating creative content are:
Today, many businesses often make their way towards chatbots and virtual assistants to ensure that users can get relevant information about their products and services timely. With added generative AI functionality, these digital assistants can help users with multiple time-consuming tasks, such as scheduling appointments or extracting useful data.
This is one of the reasons why the role of chatbots in enterprises has significantly increased, especially to enhance their productivity. Siri and Google Assistant are the two most popular examples of virtual assistants.
Generative AI can also help in the creation of various aspects of video games by leveraging AI and ML algorithms. These algorithms can help a game development company create different levels of a game, its objects, characters, as well as the entire narrative.
With AI creativity, NPCs (or non-playable characters) can be included in the games, offering more interactivity and enhanced gaming experience to users. In fact, game companies can provide users with an option to create their own story and play the game according to that. AI Dungeon and Hidden Door are some of the most popular examples based on generative AI and language learning models.
Another prominent application of generative AI creativity is 3D modeling. As the name suggests, it is the process of creating 3D digital models resembling physical objects in shape, size, and texture. This technology has been one of the robust approaches used in a plethora of industries, such as product design, entertainment, construction, and architecture.
3D modeling is based on Generative Adversarial Networks (or GANs), which are one of the AI algorithms that leverage two neural networks. These two network channels work together to develop comprehensive and immersive three-dimensional digital models. Alpha3D is one of the notable generative AI examples and 3D modeling platforms prevalent nowadays.
Many big corporations have kickstarted their generative AI journey by including creative content and graphical elements in their promotional materials. Here are some of the popular companies that use AI creativity to market their products and enhance user experience.
The global carbonated soft drinks manufacturer has recently been acclaimed for an AI-generated ad campaign, managed by human proficiency. With an advert video named “Masterpiece”, the company stepped into the realm of generative AI. The advertisement brings some of the most famous artworks to life while making the bottle of Coca-Cola the center of attraction.
The video was developed in collaboration with OpenAI, specifically using their generative AI tools, ChatGPT and DALL-E2.
Italian company Ferrero, known for ‘Nutella’, wanted to outshine its primary product in terms of packaging. The primary objective was to make the jars of Nutella more desirable and appealing.
For this purpose, the company hired Ogilvy Italia, a branding agency that utilized the power of AI creativity to generate 7 million one-of-a-kind labels as expressive and unique as possible. The algorithm used to develop these versions was known as Nutella Unica.
Another great example of using generative AI for performance enhancement is JP Morgan Chase. The company hired Persado, a software startup, to create AI-generated copies when they observed that the sales and marketing copies created by AI creativity get higher click rates than the human ones.
This automated copywriting process not only brought profitable deals to the company but also cut short the time invested in writing and editing tasks.
As a business owner, you can expect plenty of generative growth opportunities, driven by innovative and feasible ideas. All you need is to collaborate with a professional artificial intelligence app development company that is well-versed in developing robust gen AI solutions.
At Appventurez, we ensure to provide businesses with the best generative AI services. From smart AI consulting to generative AI integration, we encompass a wide range of solutions.
Some of our prominent AI services include:
Besides, we have also developed several AI-based solutions for both private and government sectors, such as Chatbot Digishayak and Speech Therapy. We ensure to craft products that fulfill your requirements, unlocking new doors to innovation and accelerating the operational efficiency of your business.
Q. How AI is changing businesses across industries?
AI holds the potential to automate, enhance, and encourage decision-making, helping businesses to make quicker and better decisions. Besides, AI creativity derived from generative artificial intelligence can also improve operational efficiency to a great extent.
Q. Can AI be creative and surpass human capabilities?
Generative AI is based on the neural networks approach, which somewhat functions like a human brain on certain levels. In that context, AI-powered tools and programs can generate creative ideas. However, when it comes to self-expression and perceptions, AI creativity will lag as it does not experience human emotions.
Q. How to invest in generative AI for business transformation?
Businesses first need to comprehensively understand the technology landscape. Analyze potential investments based on the foundational algorithms and AI-based architectures, considering factors like reinforcement learning techniques and GANs. Besides, it’s crucial to keep ethical considerations and the computational efficiency of generative AI in mind for better outcomes.
Elevate your journey and empower your choices with our insightful guidance.
CEO at Appventurez
Ajay Kumar has 15+ years of experience in entrepreneurship, project management, and team handling. He has technical expertise in software development and database management. He currently directs the company’s day-to-day functioning and administration.
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