Artificial intelligence in forecasting: tools and techniques
"Importance of forecasting is to deal with the uncertainty of the future. An accurate Forecasting should be timely available, accurate, reliable and compatible with existing database. Accurate projection of the future is highly demanding for supply chain management, inventory control, economic...
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Format: | Elektronisch E-Book |
Sprache: | Englisch |
Veröffentlicht: |
Boca Raton
CRC Press
2024
|
Ausgabe: | First edition. |
Schlagwörter: | |
Links: | https://learning.oreilly.com/library/view/-/9781040051528/?ar |
Zusammenfassung: | "Importance of forecasting is to deal with the uncertainty of the future. An accurate Forecasting should be timely available, accurate, reliable and compatible with existing database. Accurate projection of the future is highly demanding for supply chain management, inventory control, economic condition, technology, growth trend, social change, political change, business, weather forecasting, stock price prediction, earth quake prediction and many more. In this direction AI powered tools and techniques of forecasting plays a major role to improve the projection accuracy. AI powered forecasting software uses machine learning techniques 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. Moreover, AI forecasting tools are better in a sense that it can gradually improve its accuracy. In other words, accurate forecasting requires more than just the fitting of models to historical data. Inside, readers will find the latest techniques used by managers in business today, discover the importance of forecasting and learn how it's accomplished. And readers will develop the necessary skills to meet the increased demand for thoughtful and realistic forecasts"-- |
Beschreibung: | Includes bibliographical references and index. - Online resource; title from PDF title page (Taylor & Francis, viewed April 11, 2024) |
Umfang: | 1 Online-Ressource. |
ISBN: | 9781003399292 1003399290 9781040051528 1040051529 9781040051504 1040051502 |
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245 | 1 | 0 | |a Artificial intelligence in forecasting |b tools and techniques |c editors Sachi Nandan Mohanty, Associate Professor, School of Computer Science & Engineering, VIT-AP University, Amaravati, India, Preethi Nanjundan, Associate Professor, Department of Data Science, Christ (Deemed to be University), Pune, Lavasa, India, Tejaswini Kar, School of Electronics Engineering, KIIT Deemed to be University, Bhubaneswar, India |
250 | |a First edition. | ||
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520 | |a "Importance of forecasting is to deal with the uncertainty of the future. An accurate Forecasting should be timely available, accurate, reliable and compatible with existing database. Accurate projection of the future is highly demanding for supply chain management, inventory control, economic condition, technology, growth trend, social change, political change, business, weather forecasting, stock price prediction, earth quake prediction and many more. In this direction AI powered tools and techniques of forecasting plays a major role to improve the projection accuracy. AI powered forecasting software uses machine learning techniques 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. Moreover, AI forecasting tools are better in a sense that it can gradually improve its accuracy. In other words, accurate forecasting requires more than just the fitting of models to historical data. Inside, readers will find the latest techniques used by managers in business today, discover the importance of forecasting and learn how it's accomplished. And readers will develop the necessary skills to meet the increased demand for thoughtful and realistic forecasts"-- | ||
650 | 0 | |a Artificial intelligence | |
650 | 0 | |a Forecasting |x Data processing | |
650 | 0 | |a Artificial intelligence |x Data processing | |
650 | 4 | |a Intelligence artificielle | |
650 | 4 | |a Prévision ; Informatique | |
650 | 4 | |a Intelligence artificielle ; Informatique | |
650 | 4 | |a artificial intelligence | |
650 | 4 | |a COMPUTERS / Computer Engineering | |
650 | 4 | |a Artificial intelligence | |
650 | 4 | |a Artificial intelligence ; Data processing | |
650 | 4 | |a Forecasting ; Data processing | |
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spelling | Artificial intelligence in forecasting tools and techniques editors Sachi Nandan Mohanty, Associate Professor, School of Computer Science & Engineering, VIT-AP University, Amaravati, India, Preethi Nanjundan, Associate Professor, Department of Data Science, Christ (Deemed to be University), Pune, Lavasa, India, Tejaswini Kar, School of Electronics Engineering, KIIT Deemed to be University, Bhubaneswar, India First edition. Boca Raton CRC Press 2024 1 Online-Ressource. Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references and index. - Online resource; title from PDF title page (Taylor & Francis, viewed April 11, 2024) "Importance of forecasting is to deal with the uncertainty of the future. An accurate Forecasting should be timely available, accurate, reliable and compatible with existing database. Accurate projection of the future is highly demanding for supply chain management, inventory control, economic condition, technology, growth trend, social change, political change, business, weather forecasting, stock price prediction, earth quake prediction and many more. In this direction AI powered tools and techniques of forecasting plays a major role to improve the projection accuracy. AI powered forecasting software uses machine learning techniques 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. Moreover, AI forecasting tools are better in a sense that it can gradually improve its accuracy. In other words, accurate forecasting requires more than just the fitting of models to historical data. Inside, readers will find the latest techniques used by managers in business today, discover the importance of forecasting and learn how it's accomplished. And readers will develop the necessary skills to meet the increased demand for thoughtful and realistic forecasts"-- Artificial intelligence Forecasting Data processing Artificial intelligence Data processing Intelligence artificielle Prévision ; Informatique Intelligence artificielle ; Informatique artificial intelligence COMPUTERS / Computer Engineering Artificial intelligence ; Data processing Forecasting ; Data processing Mohanty, Sachi Nandan HerausgeberIn edt Nanjundan, Preethi 1980- HerausgeberIn edt Kar, Tejaswini 1981- HerausgeberIn edt 9781032506159 Erscheint auch als Druck-Ausgabe 9781032506159 |
spellingShingle | Artificial intelligence in forecasting tools and techniques Artificial intelligence Forecasting Data processing Artificial intelligence Data processing Intelligence artificielle Prévision ; Informatique Intelligence artificielle ; Informatique artificial intelligence COMPUTERS / Computer Engineering Artificial intelligence ; Data processing Forecasting ; Data processing |
title | Artificial intelligence in forecasting tools and techniques |
title_auth | Artificial intelligence in forecasting tools and techniques |
title_exact_search | Artificial intelligence in forecasting tools and techniques |
title_full | Artificial intelligence in forecasting tools and techniques editors Sachi Nandan Mohanty, Associate Professor, School of Computer Science & Engineering, VIT-AP University, Amaravati, India, Preethi Nanjundan, Associate Professor, Department of Data Science, Christ (Deemed to be University), Pune, Lavasa, India, Tejaswini Kar, School of Electronics Engineering, KIIT Deemed to be University, Bhubaneswar, India |
title_fullStr | Artificial intelligence in forecasting tools and techniques editors Sachi Nandan Mohanty, Associate Professor, School of Computer Science & Engineering, VIT-AP University, Amaravati, India, Preethi Nanjundan, Associate Professor, Department of Data Science, Christ (Deemed to be University), Pune, Lavasa, India, Tejaswini Kar, School of Electronics Engineering, KIIT Deemed to be University, Bhubaneswar, India |
title_full_unstemmed | Artificial intelligence in forecasting tools and techniques editors Sachi Nandan Mohanty, Associate Professor, School of Computer Science & Engineering, VIT-AP University, Amaravati, India, Preethi Nanjundan, Associate Professor, Department of Data Science, Christ (Deemed to be University), Pune, Lavasa, India, Tejaswini Kar, School of Electronics Engineering, KIIT Deemed to be University, Bhubaneswar, India |
title_short | Artificial intelligence in forecasting |
title_sort | artificial intelligence in forecasting tools and techniques |
title_sub | tools and techniques |
topic | Artificial intelligence Forecasting Data processing Artificial intelligence Data processing Intelligence artificielle Prévision ; Informatique Intelligence artificielle ; Informatique artificial intelligence COMPUTERS / Computer Engineering Artificial intelligence ; Data processing Forecasting ; Data processing |
topic_facet | Artificial intelligence Forecasting Data processing Artificial intelligence Data processing Intelligence artificielle Prévision ; Informatique Intelligence artificielle ; Informatique artificial intelligence COMPUTERS / Computer Engineering Artificial intelligence ; Data processing Forecasting ; Data processing |
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