
kathimerini.gr
Greek Businesses Leverage AI for Efficiency and Competitive Advantage
Greek businesses are integrating AI into various operations, from analyzing customer sentiment to optimizing production, demonstrating efficiency gains and improving decision-making; this trend will likely accelerate.
- How are Greek businesses currently utilizing AI to improve operational efficiency and gain a competitive edge?
- The use of AI in businesses is rapidly changing how companies operate, impacting competitiveness significantly," says SEV President Spyros Theodoropoulos. Examples include Motor Oil using AI to analyze customer service calls for sentiment, improving service quality and efficiency. Coca-Cola HBC utilizes AI for predictive maintenance, optimizing production and reducing energy consumption.
- What are the specific cost savings and efficiency gains realized by companies like Motor Oil and Coca-Cola HBC through AI implementation?
- Several Greek companies presented case studies at a recent SEV conference demonstrating practical AI applications. These range from analyzing customer sentiment in call centers to optimizing energy consumption in manufacturing and accelerating new product development in pharmaceuticals. These examples showcase AI's broad applicability and impact across various industries.
- What potential challenges might smaller businesses face in adopting and integrating AI technologies, and what support mechanisms are needed to facilitate broader adoption?
- The adoption of AI, as shown in the case studies, creates significant advantages in efficiency, cost reduction, and strategic decision-making. For example, Motor Oil's AI system provides near real-time feedback on customer service interactions, resulting in immediate quality improvements. This trend suggests a future where AI-powered insights are integral to competitive success across all sectors.
Cognitive Concepts
Framing Bias
The article frames AI adoption as largely beneficial and transformative, emphasizing success stories and positive outcomes. Headlines and the overall narrative structure promote a predominantly optimistic perspective.
Language Bias
The language used is generally neutral and informative. However, phrases like "revolutionary" and "transformative" could be considered slightly loaded, leaning toward a positive depiction of AI's impact. More neutral alternatives would be 'significant' or 'substantial'.
Bias by Omission
The article focuses primarily on large corporations' adoption of AI, potentially omitting smaller companies' experiences and challenges. The lack of discussion about potential negative impacts of AI implementation (e.g., job displacement, algorithmic bias) is a significant omission.
False Dichotomy
The article presents a somewhat positive view of AI adoption without fully exploring potential drawbacks or alternative approaches to business optimization. While acknowledging costs, it doesn't delve into the trade-offs involved in using AI.
Sustainable Development Goals
The article showcases how AI is revolutionizing business operations across various sectors in Greece, including energy, manufacturing, pharmaceuticals, and construction. This directly contributes to SDG 9 by fostering innovation and improving infrastructure through the adoption of AI-powered solutions. Companies like Coca-Cola HBC are using AI for optimized production, leading to improved efficiency and reduced energy consumption. Motor Oil is leveraging AI for enhanced customer service, streamlining operations. Uni-Pharma uses AI to accelerate new product development, while Metlen uses AI for better energy price prediction. Archirodon uses AI to improve information retrieval for project management. These examples demonstrate the transformative power of AI in driving industrial efficiency, innovation, and improved infrastructure.