Artificial Intelligence Based Forecasting And Analytic Techniques For Environment And Economics Management

Artificial Intelligence-Based Forecasting and Analytic Techniques for Environment and Economics Management

Artificial Intelligence in Forecasting

Forecasting deals with the uncertainty of the future. To be effective, forecasting models should be timely available, accurate, reliable, and compatible with existing database. Accurate projection of the future is of vital importance in supply chain management, inventory control, economic condition, technology, growth trend, social change, political change, business, weather forecasting, stock price prediction, earthquake prediction, etc. AI powered tools and techniques of forecasting play a major role in improving the projection accuracy. The software running AI forecasting models use machine learning to improve accuracy. The software can analyse the past data and can make better prediction about the future trends with higher accuracy and confidence that favours for making proper future planning and decision. In other words, accurate forecasting requires more than just the matching of models to historical data. The book covers the latest techniques used by managers in business today, discover the importance of forecasting and learn how it's accomplished. Readers will also be familiarised with the necessary skills to meet the increased demand for thoughtful and realistic forecasts.

Proceedings of the International Conference on Advances and Applications in Artificial Intelligence (ICAAAI 2025)

This open access volume presents select proceedings of the International Conference on Advances and Applications in Artificial Intelligence (ICAAAI 2025). It covers AI fundamentals, machine learning, deep learning, NLP, computer vision, robotics, and ethical AI. Key application areas include healthcare, industry automation, smart cities, agriculture, education, cybersecurity, and business.