Artificial Intelligence And Machine Learning Powered Smart Finance
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| Author | : Taneja, Sanjay |
| Publisher | : IGI Global |
| Total Pages | : 378 |
| Release | : 2024-02-12 |
| Genre | : Business & Economics |
| ISBN | : |
In the field of finance, the pervasive influence of algorithms has transformed the very fabric of the industry. Today, over 75% of trades are orchestrated by algorithms, making them the linchpin for trade automation, predictions, and decision-making. This algorithmic reliance, while propelling financial services into unprecedented efficiency, has also ushered in a host of challenges. As the financial sector becomes increasingly algorithm-driven, concerns about risk assessment, market manipulation, and the ethical implications of automated decision-making have taken center stage. Artificial Intelligence and Machine Learning-Powered Smart Finance, meticulously examines the intersection of computational finance and advanced algorithms and the challenges associated with this technology. As algorithms permeate various facets of financial services, the book takes a deep dive into their applications, spanning forecasting, portfolio optimization, market trends analysis, and cryptoanalysis. It sheds light on the role of AI-based algorithms in personnel selection, implementing trusted financial services, developing recommendation systems for financial platforms, and detecting fraud, presenting a compelling case for the integration of innovative solutions in the financial sector. As the book unravels the intricate tapestry of algorithmic applications in finance, it also illuminates the ethical considerations and governance frameworks essential for navigating the delicate balance between technological innovation and responsible financial practices.
| Author | : Marcos Lopez de Prado |
| Publisher | : John Wiley & Sons |
| Total Pages | : 395 |
| Release | : 2018-01-23 |
| Genre | : Business & Economics |
| ISBN | : 1119482119 |
Learn to understand and implement the latest machine learning innovations to improve your investment performance Machine learning (ML) is changing virtually every aspect of our lives. Today, ML algorithms accomplish tasks that – until recently – only expert humans could perform. And finance is ripe for disruptive innovations that will transform how the following generations understand money and invest. In the book, readers will learn how to: Structure big data in a way that is amenable to ML algorithms Conduct research with ML algorithms on big data Use supercomputing methods and back test their discoveries while avoiding false positives Advances in Financial Machine Learning addresses real life problems faced by practitioners every day, and explains scientifically sound solutions using math, supported by code and examples. Readers become active users who can test the proposed solutions in their individual setting. Written by a recognized expert and portfolio manager, this book will equip investment professionals with the groundbreaking tools needed to succeed in modern finance.
| Author | : El Bachir Boukherouaa |
| Publisher | : International Monetary Fund |
| Total Pages | : 35 |
| Release | : 2021-10-22 |
| Genre | : Business & Economics |
| ISBN | : 1589063953 |
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.
| Author | : Introbooks |
| Publisher | : |
| Total Pages | : 50 |
| Release | : 2020-04-07 |
| Genre | : |
| ISBN | : |
In these highly competitive times and with so many technological advancements, it is impossible for any industry to remain isolated and untouched by innovations. In this era of digital economy, the banking sector cannot exist and operate without the various digital tools offered by the ever new innovations happening in the field of Artificial Intelligence (AI) and its sub-set technologies. New technologies have enabled incredible progression in the finance industry. Artificial Intelligence (AI) and Machine Learning (ML) have provided the investors and customers with more innovative tools, new types of financial products and a new potential for growth.According to Cathy Bessant (the Chief Operations and Technology Officer, Bank of America), AI is not just a technology discussion. It is also a discussion about data and how it is used and protected. She says, "In a world focused on using AI in new ways, we're focused on using it wisely and responsibly."
| Author | : Lakhera, Girish |
| Publisher | : IGI Global |
| Total Pages | : 581 |
| Release | : 2024-08-09 |
| Genre | : Computers |
| ISBN | : |
The digital age has ushered in an era of incredible innovation, but it's also opened the door to new threats. Deepfakes, hyper-realistic manipulated videos and images, are blurring the lines between truth and fiction. Malicious actors can use deepfakes to create fake news that sways elections, fabricate celebrity scandals to damage reputations, or even launch targeted attacks against businesses. This loss of trust can have a devastating impact on individuals, society as a whole, and especially organizations struggling to maintain brand integrity and secure operations. Navigating the World of Deepfake Technology equips you to understand deepfakes, from their work to the legal issues surrounding them. It also provides practical strategies to identify deepfakes and mitigate their risks, empowering you to protect yourself and your organization. Whether you're a business leader, journalist, or simply someone concerned about the impact of deepfakes, this book is essential reading. It's your key to staying informed and safeguarding yourself in a world increasingly reliant on digital media.
| Author | : Taneja, Sanjay |
| Publisher | : IGI Global |
| Total Pages | : 634 |
| Release | : 2024-10-18 |
| Genre | : Business & Economics |
| ISBN | : |
Neuromarketing plays a significant role in sustainable finance by tapping into the emotional and cognitive factors that influence investor decisions regarding socially and environmentally responsible investments. It helps financial institutions understand how individuals respond to sustainability messages, enabling them to craft more persuasive campaigns that resonate with investors’ values. By leveraging insights into behavior and decision-making processes, neuromarketing enhances the appeal of sustainable finance, encourages greener investment choices, and helps align financial practices with the growing demand for ethical, long-term impact solutions. Neuromarketing's Role in Sustainable Finance explores the intersection of neuromarketing and sustainable finance, revealing how insights from cognitive neuroscience can drive environmentally responsible investment behaviors. It examines subconscious factors influencing consumer decisions toward green investments, offering theoretical frameworks and practical applications to understand and promote ethical financial choices. Covering topics such as behavioral finance, environmental awareness, and investor patterns, this book is an excellent resource for scholars, researchers, financial professionals, marketers, business professionals, academicians, graduate and postgraduate students, and more.
| Author | : Kaur, Gaganpreet |
| Publisher | : IGI Global |
| Total Pages | : 498 |
| Release | : 2024-09-13 |
| Genre | : Business & Economics |
| ISBN | : |
As e-commerce continues to increase in usage and popularity, safeguarding consumers private data becomes critical. Strategic innovations in artificial intelligence and machine learning revolutionize data security by offering advanced tools for threat detection and mitigation. Integrating AI and machine learning into their security solutions will allow businesses to build customer trust and maintain a competitive edge throughout the growing digital landscapes. A thorough examination of cutting-edge innovations in e-commerce data security may ensure security measures keep up with current technological advancements in the industry. Strategic Innovations of AI and ML for E-Commerce Data Security explores practical applications in data security, algorithms, and modelling. It examines solutions for securing e-commerce data, utilizing AI and machine learning for modelling techniques, and navigating complex algorithms. This book covers topics such as data science, threat detection, and cybersecurity, and is a useful resource for computer engineers, data scientists, business owners, academicians, scientists, and researchers.
| Author | : Gomathi Sankar, Jeganathan |
| Publisher | : IGI Global |
| Total Pages | : 468 |
| Release | : 2024-08-21 |
| Genre | : Computers |
| ISBN | : |
As generative AI rapidly advances with the field of artificial intelligence, its presence poses significant ethical, security, and data management challenges. While this technology encourages innovation across various industries, ethical concerns regarding the potential misuse of AI-generated content for misinformation or manipulation may arise. The risks of AI-generated deepfakes and cyberattacks demand more research into effective security tactics. The supervision of datasets required to train generative AI models raises questions about privacy, consent, and responsible data management. As generative AI evolves, further research into the complex issues regarding its potential is required to safeguard ethical values and security of people’s data. Generative AI and Implications for Ethics, Security, and Data Management explores the implications of generative AI across various industries who may use the tool for improved organizational development. The security and data management benefits of generative AI are outlined, while examining the topic within the lens of ethical and social impacts. This book covers topics such as cybersecurity, digital technology, and cloud storage, and is a useful resource for computer engineers, IT professionals, technicians, sociologists, healthcare workers, researchers, scientists, and academicians.
| Author | : Gupta, Swati |
| Publisher | : IGI Global |
| Total Pages | : 426 |
| Release | : 2024-04-22 |
| Genre | : Technology & Engineering |
| ISBN | : |
In the ever-evolving landscape of management, the introduction of robo-advisors has introduced challenges and opportunities that require careful examination. Organizations grapple with the profound impact of these automated systems on decision-making processes, resource allocation, and strategic planning. The need for a comprehensive understanding of how robo-advisors integrate into various management functions and sectors has become paramount. Decision-makers, researchers, and students seeking clarity in this transformative period are faced with a shortage of literature that bridges theoretical insights with practical applications. Robo-Advisors in Management stand out as a pioneering solution to this crucial gap in the existing body of knowledge. This book does not merely explore the challenges presented by robo-advisors; it delves into the heart of these challenges and navigates the diverse applications of these technologies in sectors ranging from wealth management to healthcare and real estate. By seamlessly blending theoretical foundations with real-world scenarios, the book equips both professionals and academics with the tools needed to comprehend and harness the potential of robo-advisors. It is an invaluable resource for decision-makers looking to optimize their strategies, researchers seeking in-depth insights, and students aspiring to navigate the intersection of management and fintech.
| Author | : Paul Moon Sub Choi |
| Publisher | : Springer Nature |
| Total Pages | : 306 |
| Release | : 2021-03-08 |
| Genre | : Technology & Engineering |
| ISBN | : 9813361379 |
This book introduces readers to recent advancements in financial technologies. The contents cover some of the state-of-the-art fields in financial technology, practice, and research associated with artificial intelligence, big data, and blockchain—all of which are transforming the nature of how products and services are designed and delivered, making less adaptable institutions fast become obsolete. The book provides the fundamental framework, research insights, and empirical evidence in the efficacy of these new technologies, employing practical and academic approaches to help professionals and academics reach innovative solutions and grow competitive strengths.
