საკვანძო სიტყვები
Automating supply chain logistics
Personalizing marketing strategies
Use tools like Python
Decision Trees
როგორ უნდა ციტირება
ანოტაცია
Artificial Intelligence (AI) enables machines to mimic human intelligence. It involves simulating cognitive functions such as learning, reasoning, problem-solving, perception, and language understanding. AI can be programmed to perform tasks that typically require human judgment, enabling automation in various domains.
Machine Learning (ML) is a subset of AI that allows systems to learn from data and improve over time. Instead of being explicitly programmed for every task, ML algorithms identify patterns in historical data and apply these patterns to make predictions or decisions without human intervention. As more data becomes available, the model's accuracy and performance can improve.
Businesses use AI/ML to increase efficiency, reduce costs, and make data-driven decisions. These technologies help streamline operations, eliminate repetitive tasks, enhance customer experiences, and provide insights that inform strategic choices. By leveraging AI/ML, companies can gain a competitive edge in fast-paced markets.
წყაროები
Adekunle, Bolaji Iyanu, et al. "A predictive modeling approach to optimizing business operations: A case study on reducing operational inefficiencies through machine learning." International Journal of Multidisciplinary Research and Growth Evaluation 2.1 (2021): 791-799.
Adekunle, Bolaji Iyanu, et al. "Machine learning for automation: Developing data-driven solutions for process optimization and accuracy improvement." Machine Learning 2.1 (2021).
Mishra, Reeta, Padmesh Tripathi, and Nitendra Kumar. "Future Directions in the Application of Machine Learning and Intelligent Optimization in Business Analytics." Intelligent Optimization Techniques for Business Analytics. IGI Global, 2024. 49-76.
Unhelkar, Bhuvan, and Tad Gonsalves. Artificial intelligence for business optimization: research and applications. CRC Press, 2021.
Olatunji, Aishat Oluwatoyin. "Machine Learning in Business Process Optimization: A Framework for Efficiency and Decision-Making." J. Basic Appl. Res. Int 31 (2025): 18-28.
Machireddy, J. R., Sareen Kumar Rachakatla, and P. Ravichandran. "Leveraging AI and machine learning for data-driven business strategy: a comprehensive framework for analytics integration." African Journal of Artificial Intelligence and Sustainable Development 1.2 (2021): 12-150.