Computational Intelligence For Autonomous Finance
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Computational Intelligence For Autonomous Finance
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Author : Deepak Gupta
language : en
Publisher: John Wiley & Sons
Release Date : 2024-12-17
Computational Intelligence For Autonomous Finance written by Deepak Gupta and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-17 with Computers categories.
The book serves as an essential guide and a deep dive into the intersection of AI and finance, providing readers with a thorough understanding of the current state, challenges, and future possibilities of autonomous financial systems. In the rapidly evolving domain of autonomous finance, the convergence of computational intelligence techniques and financial technologies has paved the way for a new era of financial services. This transformation is driven by the integration of artificial intelligence (AI), machine learning (ML), blockchain, and big data analytics into financial systems, leading to the development of more responsive, efficient, and personalized financial products and services. Computational Intelligence for Autonomous Finance delves into the heart of this technological revolution, offering a comprehensive exploration of the theoretical foundations, practical applications, and future prospects of computational intelligence in the financial sector. The backbone of autonomous finance is a complex, interconnected ecosystem that leverages computational intelligence to automate decision-making processes, optimize financial operations, and enhance customer experiences. The book introduces the concept of an Intelligent Autonomous Financial Network (IAFN), which integrates various computational intelligence techniques with cutting-edge financial technologies to create a self-organizing, adaptive, and scalable financial system. The IAFN framework facilitates seamless interactions between diverse financial entities, enabling the provision of innovative financial services such as automated trading, real-time risk management, personalized financial planning, and fraud detection. The book meticulously analyzes the key challenges including data security and privacy concerns, algorithmic biases, regulatory compliance, and the need for interoperable standards. It also presents state-of-the-art solutions and best practices for overcoming these challenges, emphasizing the importance of ethical AI, robust data protection mechanisms, transparent algorithms, and collaborative regulatory frameworks. It discusses emerging trends such as quantum computing, edge computing, and decentralized finance (DeFi), highlighting their potential to further transform the financial landscape. The book also addresses the societal implications of autonomous finance, including its impact on employment, wealth distribution, and financial inclusion, advocating for a balanced approach that maximizes benefits while minimizing negative outcomes. Audience This book is aimed at researchers, industry professionals, policymakers, and graduate students in finance, computational intelligence, and related fields.
Computational Intelligence For Autonomous Finance
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Author : Deepak Gupta
language : en
Publisher: John Wiley & Sons
Release Date : 2024-11-13
Computational Intelligence For Autonomous Finance written by Deepak Gupta and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-13 with Computers categories.
The book serves as an essential guide and a deep dive into the intersection of AI and finance, providing readers with a thorough understanding of the current state, challenges, and future possibilities of autonomous financial systems. In the rapidly evolving domain of autonomous finance, the convergence of computational intelligence techniques and financial technologies has paved the way for a new era of financial services. This transformation is driven by the integration of artificial intelligence (AI), machine learning (ML), blockchain, and big data analytics into financial systems, leading to the development of more responsive, efficient, and personalized financial products and services. Computational Intelligence for Autonomous Finance delves into the heart of this technological revolution, offering a comprehensive exploration of the theoretical foundations, practical applications, and future prospects of computational intelligence in the financial sector. The backbone of autonomous finance is a complex, interconnected ecosystem that leverages computational intelligence to automate decision-making processes, optimize financial operations, and enhance customer experiences. The book introduces the concept of an Intelligent Autonomous Financial Network (IAFN), which integrates various computational intelligence techniques with cutting-edge financial technologies to create a self-organizing, adaptive, and scalable financial system. The IAFN framework facilitates seamless interactions between diverse financial entities, enabling the provision of innovative financial services such as automated trading, real-time risk management, personalized financial planning, and fraud detection. The book meticulously analyzes the key challenges including data security and privacy concerns, algorithmic biases, regulatory compliance, and the need for interoperable standards. It also presents state-of-the-art solutions and best practices for overcoming these challenges, emphasizing the importance of ethical AI, robust data protection mechanisms, transparent algorithms, and collaborative regulatory frameworks. It discusses emerging trends such as quantum computing, edge computing, and decentralized finance (DeFi), highlighting their potential to further transform the financial landscape. The book also addresses the societal implications of autonomous finance, including its impact on employment, wealth distribution, and financial inclusion, advocating for a balanced approach that maximizes benefits while minimizing negative outcomes. Audience This book is aimed at researchers, industry professionals, policymakers, and graduate students in finance, computational intelligence, and related fields.
Driving Socio Economic Growth With Ai And Blockchain
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Author : Gwala, Ranson Sifiso
language : en
Publisher: IGI Global
Release Date : 2025-03-14
Driving Socio Economic Growth With Ai And Blockchain written by Gwala, Ranson Sifiso and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-14 with Business & Economics categories.
In an era of rapid technological advancement, artificial intelligence (AI) and blockchain emerge as powerful catalysts for driving socio-economic growth. These innovations reshape industries, streamline processes, and unlock new opportunities for economic development. AI enhances productivity and innovation across sectors like healthcare, finance, and education. Meanwhile, blockchain's decentralized and secure practices transform industries by ensuring transparency, reducing fraud, and enabling efficient transactions. Together, AI and blockchain have the potential to create a more equitable and successful society by fostering inclusive growth, driving job creation, and improving access to essential services. Further exploration into how these technologies are driving socio-economic progress may highlight their impact on global economies and the future of work. Driving Socio-Economic Growth With AI and Blockchain examines the applications of blockchain technology and AI as catalysts for social and economic development. It discusses the use of these technologies in reaching sustainable development goals (SDGs) and increasing global economic growth. This book covers topics such as data science, financial technology, and sociology, and is a useful resource for data scientists, economists, sociologists, computer engineers, academicians, and researchers.
Artificial Intelligence In Finance
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Author : Nydia Remolina
language : en
Publisher: Edward Elgar Publishing
Release Date : 2023-01-20
Artificial Intelligence In Finance written by Nydia Remolina and has been published by Edward Elgar Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-20 with Law categories.
This book provides a comprehensive analysis of the primary challenges, opportunities and regulatory developments associated with the use of artificial intelligence (AI) in the financial sector. It will show that, while AI has the potential to promote a more inclusive and competitive financial system, the increasing use of AI may bring certain risks and regulatory challenges that need to be addressed by regulators and policymakers.
Emerging Paradigms In Digital Finance And Intelligent Economic Infrastructure
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Author :
language : en
Publisher: Global Pen Press UK
Release Date :
Emerging Paradigms In Digital Finance And Intelligent Economic Infrastructure written by and has been published by Global Pen Press UK this book supported file pdf, txt, epub, kindle and other format this book has been release on with Business & Economics categories.
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The Ai Book
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Author : Ivana Bartoletti
language : en
Publisher: John Wiley & Sons
Release Date : 2020-06-29
The Ai Book written by Ivana Bartoletti and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-29 with Business & Economics categories.
Written by prominent thought leaders in the global fintech space, The AI Book aggregates diverse expertise into a single, informative volume and explains what artifical intelligence really means and how it can be used across financial services today. Key industry developments are explained in detail, and critical insights from cutting-edge practitioners offer first-hand information and lessons learned. Coverage includes: · Understanding the AI Portfolio: from machine learning to chatbots, to natural language processing (NLP); a deep dive into the Machine Intelligence Landscape; essentials on core technologies, rethinking enterprise, rethinking industries, rethinking humans; quantum computing and next-generation AI · AI experimentation and embedded usage, and the change in business model, value proposition, organisation, customer and co-worker experiences in today’s Financial Services Industry · The future state of financial services and capital markets – what’s next for the real-world implementation of AITech? · The innovating customer – users are not waiting for the financial services industry to work out how AI can re-shape their sector, profitability and competitiveness · Boardroom issues created and magnified by AI trends, including conduct, regulation & oversight in an algo-driven world, cybersecurity, diversity & inclusion, data privacy, the ‘unbundled corporation’ & the future of work, social responsibility, sustainability, and the new leadership imperatives · Ethical considerations of deploying Al solutions and why explainable Al is so important
Sustainable Service Marketing With Virtual Currencies
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Author : Nair, Arjun J.
language : en
Publisher: IGI Global
Release Date : 2025-06-17
Sustainable Service Marketing With Virtual Currencies written by Nair, Arjun J. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-17 with Business & Economics categories.
With rise of digital innovations, sustainable service marketing is rapidly evolving, and these transformative developments are integral for virtual currencies. Digital assets, including cryptocurrencies and token-based systems, are increasingly being used to promote environmentally and socially responsible consumption behaviors. By aligning marketing strategies with sustainability goals, businesses can leverage virtual currencies to incentivize green choices, enhance customer engagement, and create transparent, decentralized value exchanges. Exploring how virtual currencies are reshaping sustainable service marketing offers both opportunities and challenges in fostering long-term value for consumers, businesses, and the planet. Sustainable Service Marketing with Virtual Currencies explores the nexus between sustainability, virtual currency, and service marketing. It examines digital currencies such as crypto and blockchain tokens and explores how they can be leveraged into greener business practices. Covering topics such as sustainability, finance, and digital currency, this book is an excellent resource for researchers, academicians, business professionals, managers, business leaders, policymakers, and more.
Computational Economics
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Author : Shu-Heng Chen
language : en
Publisher: IGI Global
Release Date : 2006-01-01
Computational Economics written by Shu-Heng Chen and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-01-01 with Business & Economics categories.
"This book identifies the economic as well as financial problems that may be solved efficiently with computational methods and explains why those problems should best be solved with computational methods"--Provided by publisher.
Computational Intelligence For Analysis Of Trends In Industry 4 0 And 5 0
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Author : Joseph Bamidele Awotunde
language : en
Publisher: CRC Press
Release Date : 2025-06-17
Computational Intelligence For Analysis Of Trends In Industry 4 0 And 5 0 written by Joseph Bamidele Awotunde and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-17 with Computers categories.
Industry 4.0 and Industry 5.0 applications will revolutionize production, enabling smart manufacturing machines to interact with their environments. These machines will become self-aware, self-learning, and capable of real-time data interpretation for self-diagnosis and prevention of production issues. They will also self-calibrate and prioritize tasks to enhance production quality and efficiency. Computational Intelligence for Analysis of Trends in Industry 4.0 and 5.0 examines the trends in applications that merge three key disciplines: Computational Intelligence (CI), Industry 4.0, and Industry 5.0. It presents solutions using industrial Internet of Things (IIoT) technologies, augmented by CI-based techniques, modeling, controls, estimations, applications, systems, and future scopes. These applications use data from smart sensors, processed through enhanced CI methods, to make smart automation more effective. Industry 4.0 integrates data and intelligent automation into manufacturing, using technologies like CI, Internet of Things (IoT), IIoT, and cloud computing. It transforms data into actionable insights for decision-making and process optimization, essential for modern competitive businesses managing high-speed data integration in production processes. Currently, Industry 4.0 and Industry 5.0 are undergoing significant transformations due to advances in applying artificial intelligence (AI), big data analytics, telecommunication technologies, and control theory. These trends are increasingly multidisciplinary, integrating mechanical, control, and information technologies. However, they face technical challenges such as parametric uncertainties, external disturbances, sensor noise, and mechanical failures. To address these issues, this book examines trends such as CI technologies as fuzzy logic, neural networks, and reinforcement learning and their application to modeling, control, and estimation. It also covers recent advancements in IIoT sensors, microcontrollers, and big data analytics that further enhance CI-based solutions in Industry 4.0 and Industry 5.0 systems.
Business Applications And Computational Intelligence
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Author : Kevin E. Voges
language : en
Publisher: IGI Global
Release Date : 2006-01-01
Business Applications And Computational Intelligence written by Kevin E. Voges and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-01-01 with Computers categories.
"This book deals with the computational intelligence field, particularly business applications adopting computational intelligence techniques"--Provided by publisher.