Data has become the most valuable asset in the business world. To process this valuable resource, derive meaning from it, and make strategic decisions, artificial intelligence technologies are being increasingly adopted across various sectors. In this article, we’ll examine how AI applications are being used across different industries in 2025 and what advantages they provide to businesses.
Current State of Artificial Intelligence Technologies
By 2025, artificial intelligence has evolved from an experimental technology to become the focal point of business digital transformation strategies. According to recent research by MIT Technology Review, 78% of businesses globally have integrated AI technologies into their business processes. The priority areas for this integration are data analysis (83%), process automation (71%), and customer experience improvement (65%).
Within AI technologies, significant developments are occurring particularly in machine learning, deep learning, natural language processing, and cognitive analytics. Qlik’s advanced analytics capabilities provide important advantages in integrating these technologies into business processes. According to Qlik’s latest report, businesses using AI-supported analytics solutions accelerate their decision-making processes by up to 40% and increase the accuracy of data-based decisions by 35%.
Artificial Intelligence Applications in the Finance Sector
The finance sector leads in the widespread adoption of AI technologies. Banks and financial institutions leverage AI solutions in areas such as risk assessment, fraud detection, credit scoring, and customer experience optimization.
Qlik’s data analytics platform enables financial institutions to make faster and more accurate decisions through real-time data analysis. According to Deloitte’s 2024 AI Trends in Financial Services report, financial institutions using analytics platforms like Qlik have managed to increase fraud detection rates by 62%.
In credit evaluation processes, AI algorithms go beyond traditional scoring methods by analyzing alternative data sources. Qlik’s data integration and analysis capabilities increase the accuracy of credit decisions by 42% while reducing processing time by 68%, providing significant advantages for both financial institutions and customers.
Artificial Intelligence Use in Retail and E-Commerce
Retail and e-commerce sectors are at the forefront of industries where AI technologies are transforming customer experience. AI solutions in demand forecasting, inventory management, dynamic pricing, and personalized marketing provide businesses with significant competitive advantages.
Qlik’s analytics solutions allow retailers to deeply analyze customer data to understand and predict purchasing behaviors. According to McKinsey & Company’s 2024 Retail Technologies report, retailers using AI-supported analytics platforms increase product recommendation accuracy by 45%, resulting in an 18% increase in sales.
Inventory management is one of the most effective areas for AI use in the retail sector. Qlik’s predictive analytics features help determine optimal stock levels by analyzing seasonal trends, market changes, and customer demands, preventing costly situations such as excess inventory or stockouts.
Artificial Intelligence Transformation in the Manufacturing Sector
The manufacturing sector is increasingly using AI technologies with the Industry 4.0 transformation. AI applications in production optimization, quality control, predictive maintenance, and supply chain management provide efficiency and cost advantages.
Talend’s data integration platform integrates data from sensors in manufacturing facilities, machine data, and ERP systems, making it available for AI algorithms. According to Gartner’s 2024 Intelligent Manufacturing Trends report, manufacturing businesses using integrated data platforms succeed in reducing equipment downtime by 47% and increasing operational efficiency by 28%.
Manufacturing data collected with Talend is processed in real-time with Qlik’s analytics platform, enabling rapid detection of anomalies in production lines.
In supply chain management, AI is revolutionizing demand forecasting, route optimization, and risk management. Talend’s ability to collect and integrate data from different sources provides access to data from all actors in the supply chain, enabling more accurate predictions. This reduces supply chain disruptions by 37% and improves delivery times by 29%.
Life-Saving Artificial Intelligence Solutions in the Healthcare Sector
The healthcare sector is witnessing some of the most exciting applications of AI technologies. AI solutions in diagnostic support, disease prediction, drug development, and personalized treatment plans are increasing the quality and accessibility of healthcare services.
Qlik’s data analytics platform enables in-depth analysis of hospital data, strengthening clinical decision support systems. According to a 2024 study in The Lancet Digital Health journal, AI-supported diagnostic systems provide accuracy rates of up to 91% for certain diseases and reduce diagnosis time by 76%.
Talend’s data integration solutions create holistic patient profiles by integrating data from different health record systems, imaging devices, and laboratory results. This integrated data is processed with Qlik’s AI-supported analytics features, contributing to early detection of disease risks and development of preventive health strategies.
Artificial Intelligence Applications in the Telecommunications Sector
The telecommunications sector extensively uses AI technologies in network optimization, customer experience improvement, and new service development. Qlik and Talend solutions allow telecom operators to effectively manage and analyze large data sets.
Talend’s data integration capabilities enable telecom operators to bring together data from network devices, customer interaction channels, and billing systems. This integrated data is processed on Qlik’s analytics platform for network performance optimization and customer experience improvement.
According to Ericsson’s 2024 AI in Telecommunications Report, operators using AI-supported network management systems detect and resolve network failures 68% faster and reduce operational costs by 23%.
Challenges in Artificial Intelligence Applications and Solution Proposals
Despite the advantages provided by AI technologies, businesses face various challenges. Data quality and integration is one of the most important factors affecting the success of AI systems. Talend’s data quality and integration solutions are critically important for overcoming this challenge.
According to Gartner’s 2024 AI Maturity Survey, 67% of AI projects fail to reach their goals due to data quality and integration issues. Talend’s data preparation and cleaning features contribute to solving this problem, increasing the success rate of AI projects.
Another significant challenge is the explainability and transparency of AI systems. Especially in regulated sectors such as finance and healthcare, the explainability of AI system decisions is of great importance. Qlik’s visualization and data exploration features help understand and explain the decisions of AI systems.
Talent shortage is also one of the important challenges faced by businesses. According to IDC’s 2024 AI Talent Gap report, there is a global shortage of 4.3 million AI and data science specialists. Easy-to-use and intuitive platforms like Qlik and Talend allow non-technical users to benefit from AI solutions, alleviating this problem.
As the AI revolution continues at full speed, businesses that integrate this technology into their business processes gain a competitive advantage. AI solutions supported by data-focused technologies like Qlik and Talend provide increased efficiency, cost optimization, and customer experience improvement across different sectors. Now is the best time for businesses looking to embark on an AI journey.
References:
- MIT Technology Review: State of AI in Enterprise 2024
- Deloitte: AI Trends in Financial Services 2024
- Gartner: AI Maturity Survey 2024