How is Artificial Intelligence Disrupting the Creative Designing Industry?

Artificial Intelligence is here to stay and has already become a buzzword across industries. The creative designing industry is no exception. AI has made inroads into the creative designing industry and is increasingly being used to aid designers as they go about their work. It is important to note that while AI has tremendous potential, it is not yet ready to replace designers. The human element still continues to matter, and creativity still cannot be entirely replaced by machines or AI.

AI is becoming more capable than ever with the passage of time. Designers and developers are conversing on how AI might disrupt the industry in the future and how the nature of our jobs will change with the advent and widespread use of AI in the design field. AI will bring about new conversations being played out between customer and product. These new conversations will add to the ongoing interactions between consumers and businesses and what AI can and should do for products and services. However, designers will still bring the necessary empathetic and creative element to the interaction between consumer and brand.

8 Ways AI is Transforming the Creative Designing Industry

1. AI Brings Optimization and Speed

   AI helps designers create designs faster and cheaper because of the enhanced speed and efficiency it offers. The power of AI mainly lies in the speed with which it can analyze and process vast amounts of data and then suggest design cues. All a designer then needs to do is to pick the best designs from the many available options and then tweak it to serve his/her purpose. AI can provide effective designs to be tested quickly and many design prototypes can be tested with users concurrently, making the process quicker and more efficient.

   AI is also helping designers reduce their tedious day-to-day tasks like performing product localization or creating similar designs in multiple languages. Things like selecting the most suitable font and colors can be performed by AI, thereby freeing up the time and resources of designers who can then spend more time thinking about the overall design.

   AI is also putting design power into the hands of non-designers. Small businesses that need to design things like business cards and websites can use AI and a little technical knowledge to design them, thereby saving a lot in costs. However, this is still not feasible for large corporation who will still need to employ professional designers to design their content.

2. AI's Impact on Visual Art

   AI is making an impact on the world of visual art in many ways. It has been used to alter existing art to create living portraits such as the case when it did so for the Mona Lisa. It has also been used to create likenesses that appear to be real humans, which can be found at ThisPersonDoesNotExist. AI has also been used to create original pieces of art by studying a database of past masters. Christie's auctioned a piece of artwork created by AI titled the “Portrait of Edmond de Belamy” for $432,500 and in the process became the first auction house to sell an AI-created artwork.

   Ai-Da is the world's first robot artist and recently held her first solo exhibition. She comes equipped with facial recognition technology and a robotic arm that is powered by AI. AI-Da is a case that is now blurring the boundaries of what it means to be an artist.

3. AI's Impact on Music Composition

   AI has also been used to create original music compositions in different genres. David Cope is a musician and has spent the last 30 years working on what he calls “Experiments in Musical Intelligence” or EMI. His algorithms have been used to create multiple pieces of original music in various genres. He also developed Emily Howell, which is an AI that composes music based on her own style. This is noteworthy since the AI does not rely on replicating the style of past composers.

   Sony' Flow Machine and IBM's Watson are also two tools that YouTubers, music producers, and artists are using to create today's hits. A Grammy-nominated producer called Alex Da Kid used IBM's Watson to aid his creative process.

4. AI and Augmented Design

   AI has been making inroads into the field of commercial design. Recently, French designer Philippe Starck and Autodesk, a company specializing in producing 3D software, collaborated to create the first chair designed using AI. This chair was put into production and was unveiled at the Milan Design Week. Another project that explores the potential for collaboration between people and machines is the Chair Project.

5. AI and Graphic Design

   Designers that incorporate AI into their workflow can create their designs faster. In this model, the designer creates basic sketches and scans them into the program. He then enters a set of parameters based on which the program creates an image. AI also provides designers with suggestions for changes or improvements to the image. AI can be used as an aid to design almost anything, right from logos, infographics, business cards, and posters to cartoons and whiteboard videos.

   AI is also being leveraged by many designers to perform tedious and time-consuming tasks such as selecting colors and fonts that best work for a particular purpose. The AI program suggests the most suitable designs and then the designer can cherry-pick the one that works best without having to spend countless hours creating multiple designs from scratch.

6. AI used to Tweak Graphical Content

   Many businesses need to create a design element such as a logo, image, or design that needs minor tweaking to be used for various purposes. This is a time-consuming and tedious task that can take up a lot of a designer's time. However, AI can be used to make these minor changes and this approach can also be used in conjunction with other AI approaches to show specific graphics at specific times and locations.

   Netflix is a prime example of how a company can use AI to aid the design and recommendation process. The company routinely shows different banners based on the user's language, preferences, and region. Nutella also utilized an AI approach when they labelled 7 million bottles with a unique, but similar design. All the bottles were sold out within a month. Their system rapidly created the unique designs based on a database of colors and patterns, thereby saving the company a lot of time and manual effort.

7. AI and UI Design

   If you are looking to provide your customers with a more personalized user experience, incorporating AI into your user interface can be a good way to start. Amazon's Alexa and Netflix are prime examples of this approach. Alexa uses voice to communicate with users and provide them with services that have a human touch. Netflix always personalizes the content that it shows you based on you viewing history, language, and other preferences.

   AI is great for collecting user data, running the data through algorithms, and presenting the results in a custom and personalized interface. These interfaces could have specific layouts, fonts, colors, content, and suggestions for individuals based on a variety of parameters.

8. AI and UX Design

   It can be quite complicated and tedious to create a high-quality and custom user experience (UX) and this is especially so if it is all done manually. Fortunately, AI can now be leveraged to make the life of UX designers easier. A UX designer can now use AI technology to save a lot of time and effort. The designer needs to create a baseline interface which the AI uses to personalize the customer's experience on the fly based on the data it already has on the customer. Designers can use a lot of factors like gender, age, and location to feed to the AI program to provide custom user experiences. The incorporation of voice recognition is also a good way to collect data and UX designers can use this data to make the entire user experience more personalized, quicker, and convenient.

   In the grand scheme of things, AI can help designers create better, higher-performance products that are superior to what the competition has to offer. This is because of AIs ability to analyze and process vast amounts of data, resulting in more personalized, and therefore, better user experiences. For UX designers looking to increase conversions, AI is a good aid because it can show the way to generate more conversions without the designers having to figure it all out manually.

4 Key Challenges of Incorporating AI in the Creative Design Industry

There are many benefits to incorporating AI into your creative endeavors. However, there are still challenges that need to be overcome when implementing a successful AI strategy. Some of these challenges are -

1. Steep Learning Curve

   

   AI is still being developed and using it will require designers to gather the relevant knowledge, skill, and expertise in order to best leverage this technology. It can be challenging to find designers that are proficient in using AI. Companies would need to allocate extra funds toward training their designers on using AI or towards hiring AI designing specialists.

2. Utlilizing Relevant Data

   

   Its now abundantly clear that huge amounts of data are being collected from a variety of sources. This data includes data in formats like text, image, audio, and video. There are also a wide range of platforms used to gather this data. However, for an AI system to understand and transform this data into useful results, there needs to be a baseline and relevant and appropriate data. This can be challenging to obtain and maintain.

3. Integrating AI

   

   Performing a seamless transition to incorporating AI into design workflows can be complicated. One needs to ensure that all the current programs are compatible with AI requirements and that the AI strategy is implemented without reducing current output. In addition, once all the AI components have been integrated, all the personnel using the AI will need to be trained.

4. Understanding AI Weaknesses

   

   While AI is good at identifying trends and making recommendations, it is not very useful at things like understanding nuances, reading emotions, and identifying biases in the data. These factors make it difficult to implement a fool-proof AI strategy into creating more personalized and relevant user experiences. However, there are ways to work around these weaknesses. You can send out surveys or questionnaires to gather more useful and relevant data on which to train your AI system.

Conclusion

AI has already made many inroads into the creative designing industry and this trend looks likely to continue into the future. AI has tremendous scope as an aid to help designers overcome the tedious aspects of designing. However, the role is still very much an aid rather than a replacement for the human, creative element. Designers can use AI to analyze vast amounts of data to make the customer experience more personalized and relevant and also to boost conversions.

Flatworld Solutions Provides the Best Creative Design Services at Affordable Rates

Flatworld Solutions (FWS) is a leading provider of creative design services to a diverse clientele from across the world. Our team of designers are highly proficient in using the latest design tools and technologies and will always provide you with highly personalized services that you can trust. Our design team has 20 years of experience in providing a comprehensive range of highly cost-effective and affordable creative design services. We are also keeping close watch on the latest developments related to integrating AI into design workflows.

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