What Are Creative Automation Strategies?

Creative automation is the use of algorithmic methods to aid in the creative process. It is a concept that predates the digital age but is now applicable to fields as diverse as art and science.

In the arts, it helps create paintings or music. Many business owners have been using algorithms for years to manage their creativity. They use spreadsheets and databases as a means of generating ideas and evaluating the results.

Creative automation is also helpful in science, where it can be used to aid experimental research or process data obtained from the scientific method. The same algorithmic concepts that help data mining can be applied to raw scientific data with exciting results.

The strategies used in creative automation

There are several strategies for creative automation, including:

1. Pattern recognition
2. Data mining
3. Content curation
4. Prototype generation
5. Machine learning, and
6. Algorithmic composition.

This article will focus on the first two strategies, pattern recognition and data mining, which are often used in conjunction with one another to generate creative results.

What is interesting about creative automation is that it can be an effective tool for solving problems in the art and science worlds, which seem so dissimilar at first glance. You can get more details about creative automation from https://www.encode.eu/use-case/creative-automation.

Pattern recognition and data mining

• In commercial applications, pattern recognition is used to search for hidden connections in large datasets, such as scientific research or sales and marketing. Data mining is a form of pattern recognition that uses data analysis to derive useful information from the data.
• Creative automation has already played an essential role in the art world as well. For example, scientists use sophisticated software to analyze large datasets looking for possible medical breakthroughs. Marketers use the same techniques to determine customer preferences and shopping trends.

Take, for example, the paintings of Harold Cohen. He worked using a computer program that he developed to create images based on his artistic style.

• The program uses pattern recognition techniques to identify specific features from an image and locate their corresponding location in another photo. For example, if a human hand was placed over the eyes in one image, the software would look for indicators in other pictures and place them over the eyes in those pictures.

The result is a series of unique images created from the various pre-existing source material, almost as if an abstract expressionist compiled it.

There are now software programs that are specifically designed to assist in scientific research. These programs can be used to help scientists focus their attention on specific areas of study, for example, or perhaps sort through large datasets looking for patterns that might lead to discoveries. Creative automation can even aid scientists in their research as well as artists.

Artists can also use the same tools to develop new creative ideas based on common themes found throughout the worldwide artistic community.

In a nutshell, creative automation is a process that uses algorithms to aid in the creative process. It can be found in the sciences, art, business, and other fields which rely on creativity to make their products or discover new scientific discoveries.