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

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Publisher : Frontiers Media SA
ISBN 13 : 2832504728
Total Pages : 328 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Artificial Intelligence-Based Forecasting and Analytic Techniques for Environment and Economics Management by : Wendong Yang

Download or read book Artificial Intelligence-Based Forecasting and Analytic Techniques for Environment and Economics Management written by Wendong Yang and published by Frontiers Media SA. This book was released on 2022-11-09 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Intelligence in Forecasting

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Author :
Publisher : CRC Press
ISBN 13 : 1040051502
Total Pages : 365 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Artificial Intelligence in Forecasting by : Sachi Mohanty

Download or read book Artificial Intelligence in Forecasting written by Sachi Mohanty and published by CRC Press. This book was released on 2024-07-19 with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Artificial Intelligence in Asset Management

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Publisher : CFA Institute Research Foundation
ISBN 13 : 195292703X
Total Pages : 95 pages
Book Rating : 4.9/5 (529 download)

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Book Synopsis Artificial Intelligence in Asset Management by : Söhnke M. Bartram

Download or read book Artificial Intelligence in Asset Management written by Söhnke M. Bartram and published by CFA Institute Research Foundation. This book was released on 2020-08-28 with total page 95 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) has grown in presence in asset management and has revolutionized the sector in many ways. It has improved portfolio management, trading, and risk management practices by increasing efficiency, accuracy, and compliance. In particular, AI techniques help construct portfolios based on more accurate risk and return forecasts and more complex constraints. Trading algorithms use AI to devise novel trading signals and execute trades with lower transaction costs. AI also improves risk modeling and forecasting by generating insights from new data sources. Finally, robo-advisors owe a large part of their success to AI techniques. Yet the use of AI can also create new risks and challenges, such as those resulting from model opacity, complexity, and reliance on data integrity.

Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance

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Publisher : International Monetary Fund
ISBN 13 : 1589063953
Total Pages : 35 pages
Book Rating : 4.5/5 (89 download)

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Book Synopsis Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance by : El Bachir Boukherouaa

Download or read book Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance written by El Bachir Boukherouaa and published by International Monetary Fund. This book was released on 2021-10-22 with total page 35 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.

Business Intelligence in Economic Forecasting: Technologies and Techniques

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Publisher : IGI Global
ISBN 13 : 1615206302
Total Pages : 406 pages
Book Rating : 4.6/5 (152 download)

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Book Synopsis Business Intelligence in Economic Forecasting: Technologies and Techniques by : Wang, Jue

Download or read book Business Intelligence in Economic Forecasting: Technologies and Techniques written by Wang, Jue and published by IGI Global. This book was released on 2010-06-30 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the rapid development of economic globalization and information technology, the field of economic forecasting continues its expeditious advancement, providing business and government with applicable technologies. This book discusses various business intelligence techniques including neural networks, support vector machine, genetic programming, clustering analysis, TEI@I, fuzzy systems, text mining, and many more. It serves as a valuable reference for professionals and researchers interested in BI technologies and their practical applications in economic forecasting, as well as policy makers in business organizations and governments.

Application of Big Data, Deep Learning, Machine Learning, and Other Advanced Analytical Techniques in Environmental Economics and Policy

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Publisher : Frontiers Media SA
ISBN 13 : 2889765962
Total Pages : 485 pages
Book Rating : 4.8/5 (897 download)

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Book Synopsis Application of Big Data, Deep Learning, Machine Learning, and Other Advanced Analytical Techniques in Environmental Economics and Policy by : Tsun Se Cheong

Download or read book Application of Big Data, Deep Learning, Machine Learning, and Other Advanced Analytical Techniques in Environmental Economics and Policy written by Tsun Se Cheong and published by Frontiers Media SA. This book was released on 2022-07-25 with total page 485 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Intelligence Enabled Management

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Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3111172406
Total Pages : 288 pages
Book Rating : 4.1/5 (111 download)

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Book Synopsis Artificial Intelligence Enabled Management by : Rubee Singh

Download or read book Artificial Intelligence Enabled Management written by Rubee Singh and published by Walter de Gruyter GmbH & Co KG. This book was released on 2024-06-04 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Companies in developing countries are adopting Artificial Intelligence applications to increase efficiency and open new markets for their products. This book explores the multifarious capabilities and applications of AI in the context of these emerging economies and its role as a driver for decision making in current management practices. Artificial Intelligence Enabled Management argues that the economic problems facing academics, professionals, managers, governments, businesses and those at the bottom of the economic pyramid have a technical solution that relates to AI. Businesses in developing countries are using cutting-edge AI-based solutions to improve autonomous delivery of goods and services, implement automation of production and develop mobile apps for services and access to credit. By integrating data from websites, social media and conventional channels, companies are developing data management platforms, good business plans and creative business models. By increasing productivity, automating business processes, financial solutions and government services, AI can drive economic growth in these emerging economies. Public and private sectors can work together to find innovative solutions that simultaneously alleviate poverty and inequality and increase economic mobility and prosperity. The thought-provoking contributions in this book also bring attention to new barriers that have emerged in the acceptance, use, integration and deployment of AI by businesses in developing countries and explore the often-overlooked drawbacks of AI adoption that can hinder or even cause value loss. The book is a must-read for policymakers, researchers, and anyone interested in understanding the critical role of AI in the emerging economy perspective.

Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation

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Author :
Publisher : Springer Nature
ISBN 13 : 9811557721
Total Pages : 469 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation by : Ravinesh C. Deo

Download or read book Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation written by Ravinesh C. Deo and published by Springer Nature. This book was released on 2020-07-29 with total page 469 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights cutting-edge applications of machine learning techniques for disaster management by monitoring, analyzing, and forecasting hydro-meteorological variables. Predictive modelling is a consolidated discipline used to forewarn the possibility of natural hazards. In this book, experts from numerical weather forecast, meteorology, hydrology, engineering, agriculture, economics, and disaster policy-making contribute towards an interdisciplinary framework to construct potent models for hazard risk mitigation. The book will help advance the state of knowledge of artificial intelligence in decision systems to aid disaster management and policy-making. This book can be a useful reference for graduate student, academics, practicing scientists and professionals of disaster management, artificial intelligence, and environmental sciences.

Forecasting with Artificial Intelligence

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Author :
Publisher : Springer Nature
ISBN 13 : 3031358791
Total Pages : 441 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Forecasting with Artificial Intelligence by : Mohsen Hamoudia

Download or read book Forecasting with Artificial Intelligence written by Mohsen Hamoudia and published by Springer Nature. This book was released on 2023-10-22 with total page 441 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a comprehensive guide that explores the intersection of artificial intelligence and forecasting, providing the latest insights and trends in this rapidly evolving field. The book contains fourteen chapters covering a wide range of topics, including the concept of AI, its impact on economic decision-making, traditional and machine learning-based forecasting methods, challenges in demand forecasting, global forecasting models, meta-learning and feature-based forecasting, ensembling, deep learning, scalability in industrial and optimization applications, and forecasting performance evaluation. With key illustrations, state-of-the-art implementations, best practices, and notable advances, this book offers practical insights into the theory and practice of AI-based forecasting. This book is a valuable resource for anyone involved in forecasting, including forecasters, statisticians, data scientists, business analysts, or decision-makers.

Evolution of environmental economics & management in the age of artificial intelligence for sustainable development

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Author :
Publisher : Frontiers Media SA
ISBN 13 : 2832523722
Total Pages : 131 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Evolution of environmental economics & management in the age of artificial intelligence for sustainable development by : Elena G. Popkova

Download or read book Evolution of environmental economics & management in the age of artificial intelligence for sustainable development written by Elena G. Popkova and published by Frontiers Media SA. This book was released on 2023-06-06 with total page 131 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Handbook of Research on Artificial Intelligence Techniques and Algorithms

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Publisher : IGI Global
ISBN 13 : 1466672595
Total Pages : 873 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Handbook of Research on Artificial Intelligence Techniques and Algorithms by : Vasant, Pandian

Download or read book Handbook of Research on Artificial Intelligence Techniques and Algorithms written by Vasant, Pandian and published by IGI Global. This book was released on 2014-11-30 with total page 873 pages. Available in PDF, EPUB and Kindle. Book excerpt: For decades, optimization methods such as Fuzzy Logic, Artificial Neural Networks, Firefly, Simulated annealing, and Tabu search, have been capable of handling and tackling a wide range of real-world application problems in society and nature. Analysts have turned to these problem-solving techniques in the event during natural disasters and chaotic systems research. The Handbook of Research on Artificial Intelligence Techniques and Algorithms highlights the cutting edge developments in this promising research area. This premier reference work applies Meta-heuristics Optimization (MO) Techniques to real world problems in a variety of fields including business, logistics, computer science, engineering, and government. This work is particularly relevant to researchers, scientists, decision-makers, managers, and practitioners.

Artificial Intelligence Methods in the Environmental Sciences

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Publisher : Springer Science & Business Media
ISBN 13 : 1402091192
Total Pages : 418 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Artificial Intelligence Methods in the Environmental Sciences by : Sue Ellen Haupt

Download or read book Artificial Intelligence Methods in the Environmental Sciences written by Sue Ellen Haupt and published by Springer Science & Business Media. This book was released on 2008-11-28 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: How can environmental scientists and engineers use the increasing amount of available data to enhance our understanding of planet Earth, its systems and processes? This book describes various potential approaches based on artificial intelligence (AI) techniques, including neural networks, decision trees, genetic algorithms and fuzzy logic. Part I contains a series of tutorials describing the methods and the important considerations in applying them. In Part II, many practical examples illustrate the power of these techniques on actual environmental problems. International experts bring to life ways to apply AI to problems in the environmental sciences. While one culture entwines ideas with a thread, another links them with a red line. Thus, a “red thread“ ties the book together, weaving a tapestry that pictures the ‘natural’ data-driven AI methods in the light of the more traditional modeling techniques, and demonstrating the power of these data-based methods.

Intelligent Methods and Alternative Economic Models for Sustainability

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Publisher : IGI Global
ISBN 13 :
Total Pages : 351 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Intelligent Methods and Alternative Economic Models for Sustainability by : Dekhici, Latifa

Download or read book Intelligent Methods and Alternative Economic Models for Sustainability written by Dekhici, Latifa and published by IGI Global. This book was released on 2024-04-22 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the face of a world overwhelmed by environmental challenges, the need for sustainability has reached a critical juncture. This multidimensional concept demands a delicate equilibrium between environmental preservation, economic viability, and social equity. Navigating this intricate terrain necessitates innovative solutions that bridge the present and the future. The urgency is palpable as we grapple with the repercussions of unsustainable practices. Intelligent Methods and Alternative Economic Models for Sustainability emerges as the definitive solution to this urgent problem. By synergizing intelligent methods and alternative economic models, the book provides a cohesive framework to address the multifaceted challenges of sustainability. It delves into the transformative power of metaheuristics, big data, and the Internet of Things (IoT) in optimizing complex systems while advocating for circular economic models that minimize waste and maximize resource efficiency. The book transcends theoretical discourse, offering real-world insights into successful sustainability initiatives. This comprehensive approach caters not only to researchers in computer sciences, economics, and sustainability but also empowers policymakers with actionable strategies and engages the broader public, fostering awareness and understanding of sustainability issues that impact us all.

Smart Analytics, Artificial Intelligence and Sustainable Performance Management in a Global Digitalised Economy

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Publisher : Emerald Group Publishing
ISBN 13 : 180382557X
Total Pages : 258 pages
Book Rating : 4.8/5 (38 download)

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Book Synopsis Smart Analytics, Artificial Intelligence and Sustainable Performance Management in a Global Digitalised Economy by : Pallavi Tyagi

Download or read book Smart Analytics, Artificial Intelligence and Sustainable Performance Management in a Global Digitalised Economy written by Pallavi Tyagi and published by Emerald Group Publishing. This book was released on 2023-05-29 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Covid 19 pandemic has created chaos in the business world and forced leaders to rethink their operational status quo. Balancing the physical and virtual spaces of the global digital economy has called for additional support from data-driven technologies like smart analytics and artificial intelligence.

Artificial Intelligence and Data Analytics for Energy Exploration and Production

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Publisher : John Wiley & Sons
ISBN 13 : 1119879698
Total Pages : 613 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Artificial Intelligence and Data Analytics for Energy Exploration and Production by : Fred Aminzadeh

Download or read book Artificial Intelligence and Data Analytics for Energy Exploration and Production written by Fred Aminzadeh and published by John Wiley & Sons. This book was released on 2022-09-21 with total page 613 pages. Available in PDF, EPUB and Kindle. Book excerpt: ARTIFICAL INTELLIGENCE AND DATA ANALYTICS FOR ENERGY EXPLORATION AND PRODUCTION This groundbreaking new book is written by some of the foremost authorities on the application of data science and artificial intelligence techniques in exploration and production in the energy industry, covering the most comprehensive and updated new processes, concepts, and practical applications in the field. The book provides an in-depth treatment of the foundations of Artificial Intelligence (AI) Machine Learning, and Data Analytics (DA). It also includes many of AI-DA applications in oil and gas reservoirs exploration, development, and production. The book covers the basic technical details on many tools used in “smart oil fields”. This includes topics such as pattern recognition, neural networks, fuzzy logic, evolutionary computing, expert systems, artificial intelligence machine learning, human-computer interface, natural language processing, data analytics and next-generation visualization. While theoretical details will be kept to the minimum, these topics are introduced from oil and gas applications viewpoints. In this volume, many case histories from the recent applications of intelligent data to a number of different oil and gas problems are highlighted. The applications cover a wide spectrum of practical problems from exploration to drilling and field development to production optimization, artificial lift, and secondary recovery. Also, the authors demonstrate the effectiveness of intelligent data analysis methods in dealing with many oil and gas problems requiring combining machine and human intelligence as well as dealing with linguistic and imprecise data and rules.

Technological Trends in the AI Economy

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Publisher : Springer Nature
ISBN 13 : 981197411X
Total Pages : 455 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Technological Trends in the AI Economy by : Elena N. Makarenko

Download or read book Technological Trends in the AI Economy written by Elena N. Makarenko and published by Springer Nature. This book was released on 2023-03-03 with total page 455 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is devoted to the study of artificial intelligence from a new perspective – not just a technology but a social institution with complex social connections and relationships. The book systematically highlights technological trends of the artificial intelligence economy and considers all the components of its cascade effect with an overview of international experience and substantiation of promising ways of adapting to the modern stage of technological transit of economic systems. The cascade effect is understood as a chain of interdependent events that are triggered as artificial intelligence takes root in society and the economy. Among the technological trends (current areas of the practical application of artificial intelligence), highlighted in the book, are “smart” homes, digital regions, the use of artificial intelligence to ensure cybersecurity, as well as the optimization of business processes based on artificial intelligence. The book interprets the economics of artificial intelligence as a result of the transition to a digital technological order. A review of modern experience and regulatory perspectives of the institutionalization of the artificial intelligence economy is carried out. The legal framework for combating cyber threats in the artificial intelligence economy has been determined. The promising frameworks for using artificial intelligence in various branches of industry are presented. The book provides practical examples, case studies and proposed frameworks for using AI in various sectors of the economy, which allows using the book as a practical guide to managing the artificial intelligence economy.

Digital Terrain Modelling

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Publisher : Springer Science & Business Media
ISBN 13 : 3540367314
Total Pages : 313 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Digital Terrain Modelling by : Robert Joseph Peckham

Download or read book Digital Terrain Modelling written by Robert Joseph Peckham and published by Springer Science & Business Media. This book was released on 2007-10-12 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: This publication is the first book on the development and application of digital terrain modeling for regional planning and policy support. It is a compilation of research results by international research groups at the European Commission’s Joint Research Centre, providing scientific support to the development and implementation of EU environmental policy. This practice-oriented book is recommended reading for practising environmental modelers and GIS experts working on regional planning and policy support applications.