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Full Description
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.
Contents
Pursuits of Forecasting: Revesting the claims of Artificial Intelligence. A Multilayered Feed-forward Neural network architecture for rainfall forecasting. Forecasting the Stock Market Index Using Artificial Intelligence Techniques. Forecasting of Environmental Sustainability through Green Innovation of E-Vehicle Industry. The Evolution of Forecasting Techniques: Traditional Versus Machine Learning Methods. Workforce Forecasting after COVID-19 Pandemics using Artificial Intelligence. Gender Disparity in Artificial Intelligence: Creating awareness of Unconscious Bias. Customer Perspective through Artificial Intelligence: Forecasting Green Products' sustainable Development. Weather Forecasting and Climate behavioural analysis using artificial intelligence. Assessing Climate Change Through Ai: An Ethico-Legal Study. Workforce forecasting using Artificial Intelligence. Artificial Intelligence-Based Approaches for Anticipating Financial Market Index Trends. A Comparative Analysis of Traditional and Machine Learning Forecasting Techniques. Forecasting Demand for Paddy and Cotton in Andhra Pradesh: Empirical Analysis using Machine Learning Models. Business Forecasting and Error Handling Using AI. Practical benefits of using AI for more accurate forecasting- In Mental Health. Predicting stock market indexes with Artificial Intelligence. The intellectual structure of application of Artificial Intelligence in forecasting methods: A literature review using bibliometric analysis. Effective Temperature Prediction for an enhanced Climate Forecast System. Demand Forecasting Methods: Using Machine Learning to Predict Future Sales. Demand and Supply forecasts for supply chain and retail. Role of Artificial Intelligence in Weather Forecasting and Climate Behavioral Analysis.
