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There will be an artificial intelligence revolution at FESPA Eurasia 2024

Trade FairsThere will be an artificial intelligence revolution at FESPA Eurasia 2024

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FESPA Eurasia, the leading printing and signage exhibition of the Eurasia Region, is preparing to bring together professionals and investors with innovative technologies with a renewed date for the 2024 edition. Revolutionary applications of artificial intelligence in the printing industry will become prominent at the exhibition to be held at IFM on September 11-14. Visitors will be able to discover comprehensive technologies and solutions for large-format digital printing, screen printing, textile printing and signage.

“Taking part in platforms such as FESPA Eurasia will provide significant advantages in this transformation process”

Emphasizing that adaptation to artificial intelligence technologies, which are expected to transform the industry from A to Z, is very important, FESPA Eurasia General Manager Levent Olcayto pointed out that artificial intelligence technologies have the potential to optimize business processes, reduce costs and increase customer satisfaction. Olcayto stated that in the first step, these technologies can be tested in small-scale projects, and when successful results are achieved, they can be used in wider applications, continuing: “It is also critical to inform the teams about these new technologies and prepare them for this change by participating in training programs. Additionally, taking part in platforms such as FESPA Eurasia to follow the developments and best practices in the industry will provide significant advantages in this transformation process. Evaluating these opportunities offered by technology will increase the competitiveness of businesses and ensure their future success”.

Innovations and opportunities brought by artificial intelligence will become prominent at FESPA Eurasia 2024 
  Image Source: Fespa Eurasia
Innovations and opportunities brought by artificial intelligence will become prominent at FESPA Eurasia 2024 Image Source: FESPA Eurasia

7 ways to transform the printing industry through artificial intelligence

The printing industry has been in the process of digitalization for a long time and is entering a progression phase that will redefine both the process and applications with artificial intelligence. This transformation in 7 steps can be summarized as follows:

  • Automation of routine tasks: Artificial intelligence-supported systems speed up the process by automating the printing process and management, allowing staff to focus on more creative work.
  • Predictable cost savings: Artificial intelligence reduces costs by predicting equipment failure and maintenance processes through data analysis. And so forth, maintenance processes can be carried out easily without unexpected, costly interruptions.
  • Improved print quality: Artificial intelligence can improve print quality by optimizing various parameters in real time. Advanced image recognition and processing algorithms can detect and correct printing errors, adjusting colour balance, contrast and other settings for best results.
  • Waste reduction and sustainability: Sustainability is a growing concern for the printing industry, and artificial intelligence can play an important role in reducing waste. Artificial intelligence algorithms can optimize material usage by minimizing the amount of paper, fabric, ink and other resources consumed.
  • Artificial intelligence-supported analyses: Artificial intelligence-supported data analyses can help with both efficiency and market analysis by providing deeper insight into various aspects of operations.
  • Personalized marketing and customer engagement: Artificial intelligence can play a role in creating personalized experiences by analysing customer data.
  • Intelligent document processing: Artificial intelligence transforms the way documents are processed, enabling faster and more accurate processing of large volumes of information. Intelligent document processing (IDP) systems eliminate the need for manual data entry and errors.

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