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

Artificial Intelligence-Based Forecasting and Analytic Techniques for Environment and Economics Management PDF Author: Wendong Yang
Publisher: Frontiers Media SA
ISBN: 2832504728
Category : Science
Languages : en
Pages : 328

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Book Description

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

Artificial Intelligence-Based Forecasting and Analytic Techniques for Environment and Economics Management PDF Author: Wendong Yang
Publisher: Frontiers Media SA
ISBN: 2832504728
Category : Science
Languages : en
Pages : 328

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Book Description


Artificial Intelligence in Forecasting

Artificial Intelligence in Forecasting PDF Author: Sachi Mohanty
Publisher: CRC Press
ISBN: 1040051502
Category : Computers
Languages : en
Pages : 365

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Book 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.

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

Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance PDF Author: El Bachir Boukherouaa
Publisher: International Monetary Fund
ISBN: 1589063953
Category : Business & Economics
Languages : en
Pages : 35

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Book Description
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.

The Economics of Artificial Intelligence

The Economics of Artificial Intelligence PDF Author: Ajay Agrawal
Publisher: University of Chicago Press
ISBN: 0226833127
Category : Business & Economics
Languages : en
Pages : 172

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Book Description
A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.

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

Application of Big Data, Deep Learning, Machine Learning, and Other Advanced Analytical Techniques in Environmental Economics and Policy PDF Author: Tsun Se Cheong
Publisher: Frontiers Media SA
ISBN: 2889765962
Category : Technology & Engineering
Languages : en
Pages : 485

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Book Description


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

Evolution of environmental economics & management in the age of artificial intelligence for sustainable development PDF Author: Elena G. Popkova
Publisher: Frontiers Media SA
ISBN: 2832523722
Category : Science
Languages : en
Pages : 131

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Book Description


Intelligent Methods and Alternative Economic Models for Sustainability

Intelligent Methods and Alternative Economic Models for Sustainability PDF Author: Dekhici, Latifa
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 351

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Book Description
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.

Artificial Intelligence and Data Analytics for Energy Exploration and Production

Artificial Intelligence and Data Analytics for Energy Exploration and Production PDF Author: Fred Aminzadeh
Publisher: John Wiley & Sons
ISBN: 1119879698
Category : Science
Languages : en
Pages : 613

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Book Description
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.

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

Smart Analytics, Artificial Intelligence and Sustainable Performance Management in a Global Digitalised Economy PDF Author: Pallavi Tyagi
Publisher: Emerald Group Publishing
ISBN: 180382557X
Category : Business & Economics
Languages : en
Pages : 258

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Book Description
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.

Technological Trends in the AI Economy

Technological Trends in the AI Economy PDF Author: Elena N. Makarenko
Publisher: Springer Nature
ISBN: 981197411X
Category : Technology & Engineering
Languages : en
Pages : 455

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Book Description
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.