Utilizing Ai And Machine Learning In Financial Analysis
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Utilizing Ai And Machine Learning In Financial Analysis
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Author : Darwish, Dina
language : en
Publisher: IGI Global
Release Date : 2025-01-21
Utilizing Ai And Machine Learning In Financial Analysis written by Darwish, Dina and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-21 with Business & Economics categories.
Machine learning models can imitate the cognitive process by assimilating knowledge from data and employing it to interpret and analyze information. Machine learning methods facilitate the comprehension of vast amounts of data and reveal significant patterns incorporated within it. This data is utilized to optimize financial business operations, facilitate well-informed judgements, and aid in predictive endeavors. Financial institutions utilize it to enhance pricing, minimize risks stemming from human error, mechanize repetitive duties, and comprehend client behavior. Utilizing AI and Machine Learning in Financial Analysis explores new trends in machine learning and artificial intelligence implementations in the financial sector. It examines techniques in financial analysis using intelligent technologies for improved business services. This book covers topics such as customer relations, predictive analytics, and fraud detection, and is a useful resource for computer engineers, security professionals, business owners, accountants, academicians, data scientists, and researchers.
Utilizing Ai And Machine Learning In Financial Analysis
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Author : Dina Darwish
language : en
Publisher:
Release Date : 2025
Utilizing Ai And Machine Learning In Financial Analysis written by Dina Darwish and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025 with categories.
Machine Learning In Finance
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Author : Musa Gün
language : en
Publisher: Springer Nature
Release Date : 2025-03-29
Machine Learning In Finance written by Musa Gün and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-29 with Business & Economics categories.
This book discusses the evolution of technical features in decentralized finance and focuses on machine-learning finance in emerging economies. As technological advancement evolves at an unpredictable pace, the financial industry, like every other sector, must adapt accordingly. Furthermore, the rapid expansion of diverse financial products and services is creating new applications and markets. Alongside technological progress, the exploration of complex patterns in vast amounts of data, known as big data, is facilitated by its commonly acknowledged characteristics: volume, variety, veracity, value, and velocity. Overall, machine learning has become crucial in the financial industry, allowing businesses to automate operations, gain insights from data, and make more informed decisions in real time. This edited book covers algorithmic trading, risk management, fraud detection, customer service and personalization, portfolio management, credit scoring, sentiment analysis, and algorithmic pricing. The book connects theoretical concepts with practical real-world applications, benefiting professionals looking to enhance their proficiency in using these methods efficiently. It offers insightful guidance for theorists, market participants, and policymakers by exploring financial theories and practices in light of contemporary machine-learning approaches, with a special emphasis on emerging economies.
Artificial Intelligence And Machine Learning Powered Smart Finance
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Author : Taneja, Sanjay
language : en
Publisher: IGI Global
Release Date : 2024-02-12
Artificial Intelligence And Machine Learning Powered Smart Finance written by Taneja, Sanjay and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-12 with Business & Economics categories.
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.
Ai Stock Market Mastery Your Ultimate Guide To Wealth
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Author : SHIKHAR SINGH (THE ZENITH)
language : en
Publisher: APEX INFO
Release Date :
Ai Stock Market Mastery Your Ultimate Guide To Wealth written by SHIKHAR SINGH (THE ZENITH) and has been published by APEX INFO this book supported file pdf, txt, epub, kindle and other format this book has been release on with Self-Help categories.
🤖 Unlock the Power of AI: Discover how artificial intelligence is revolutionizing stock market analysis and investment strategies. 📈 Data-Driven Decisions: Learn to leverage AI algorithms for precise stock picking and forecasting, moving beyond gut feelings. 💰 Build Your Wealth: Implement proven AI-driven strategies to maximize returns and create a sustainable wealth-building system. ⚙️ Automate Your Trading: Automate your stock trading using advance AI systems. 📊 Risk Management: Use AI to mitigate risks and protect your investments in volatile market conditions. 📚 Step-by-Step Guidance: A comprehensive guide that helps you to successfully implement AI algorithms in the stock market, even if you are a beginner. 🔮 Future-Proof Your Finances: Gain a competitive edge in the stock market and secure your financial future with AI-powered wealth creation.
Regulation Emerging Risk And Ethics In Fintech And Ai
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Author : Chen, Haojun
language : en
Publisher: IGI Global
Release Date : 2025-08-14
Regulation Emerging Risk And Ethics In Fintech And Ai written by Chen, Haojun and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-14 with Business & Economics categories.
The advancement of financial technology (FinTech) and artificial intelligence (AI) transforms the financial services industry, introducing both opportunities and challenges. As these technologies reshape everything from asset management to fraud detection and customer service, they raise questions about regulation, risks, and ethical responsibilities. Fast-paced innovations have the potential to create vulnerabilities in data privacy, algorithmic bias, financial stability, and consumer protection. Addressing these concerns requires a balanced approach that fosters innovation while ensuring ethical standards to safeguard public trust and system integrity. Regulation, Emerging Risk, and Ethics in FinTech and AI explores how regulatory frameworks adapt to the evolution of FinTech and AI, and examines the emerging risks these technologies pose to financial stability, consumer rights, and data security. It investigates the ethical implications of algorithmic decision-making, transparency, and accountability in automated financial systems. This book covers topics such as business regulations, ethics and law, and financial literacy, and is a useful resource for business owners, engineers, policymakers, government officials, academicians, researchers, and scientists.
Machine Learning In Finance Risk Management Trading And Fraud Detection
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Author : Dr. Aman Gupta
language : en
Publisher: Xoffencerpublication
Release Date : 2023-07-04
Machine Learning In Finance Risk Management Trading And Fraud Detection written by Dr. Aman Gupta and has been published by Xoffencerpublication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-04 with Computers categories.
Artificial intelligence (AI) systems are machine-based systems with varying degrees of autonomy that generate predictions, suggestions, or judgements for a set of humanspecified goals utilizing enormous numbers of alternative data sources and data analytics referred to as "big data"3 (OECD, 2019). Artificial intelligence (AI) systems are sometimes referred to as intelligent machines. Systems that are powered by artificial intelligence (AI) are increasingly finding applications in a wide range of fields, including the medical field, the financial sector, and the armed forces. Common synonyms for artificial intelligence (AI) include "machine learning" and "machine learning systems." An explanation of artificial intelligence may be found in the following: "Artificial intelligence systems" are defined by the Oxford English Dictionary as "machine-based systems that can exhibit varying degrees of autonomy." You may learn more about this concept by reading the page titled "Artificial Intelligence Systems." Once they have access to the data, the models have the potential to "self-improve" by inferentially learning from further data sets without the need for human instruction. This may occur if they learn to draw conclusions from other data sets via inference. The acceleration and strengthening of a tendency toward digitalization that was already apparent before the pandemic is a direct outcome of the spread of the COVID-19 virus. This trend was already clear before the epidemic. Utilization of artificial intelligence is included in this trend. The abundance of data that is already available, in addition to the advancements in computer capacity that have made computers both more affordable and more powerful, have made it possible for artificial intelligence to play an increasingly important role in the financial sector. This role can be seen in asset management, algorithmic trading, credit underwriting, and blockchain-based financial services, among other applications. AI4 is integrated into goods and services across a wide range of sectors, including healthcare, autos, consumer items, and the phrase "internet of things" is abbreviated as "IoT."
Navigating The Self Service Revolution With Smart Machines
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Author : Verma, Balraj
language : en
Publisher: IGI Global
Release Date : 2025-07-03
Navigating The Self Service Revolution With Smart Machines written by Verma, Balraj and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-03 with Business & Economics categories.
The rise of smart machines transforms service interactions in various sectors, ushering in the self-service revolution. From AI-powered kiosks in airports to automated checkouts in retail and intelligent virtual assistants in banking, these technologies redefine convenience, efficiency, and customer expectations. As businesses adopt self-service solutions, the challenge lies in implementing the right technologies and ensuring they enhance the user experience. Navigating this revolution requires a careful balance between automation and human-centered design, where smart machines serve as tools to empower human interaction. Navigating the Self-Service Revolution With Smart Machines explores self-service technology as a transformative force in the retail landscape, scrutinizing its complexities, dualities, and far-reaching implications across diverse environments. It delves into the multifaceted nature of self-service technology, examining how its rise reshapes customer experiences, operational efficiencies, and business models in urban centers while contrasting these developments with the challenges in rural areas. This book covers topics such as machine learning, automation, consumer behavior, and is a useful resource for business owners, computer engineers, academicians, researchers, and data scientists.
Artificial Intelligence For Financial Risk Management And Analysis
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Author : Derbali, Abdelkader Mohamed Sghaier
language : en
Publisher: IGI Global
Release Date : 2025-04-08
Artificial Intelligence For Financial Risk Management And Analysis written by Derbali, Abdelkader Mohamed Sghaier and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-08 with Business & Economics categories.
The revolution of artificial intelligence (AI) impacts various business sectors, including accounting and finance. Machine intelligence is on the rise in human interaction, as novel technologies automate tasks and enhance human capabilities at an increasingly rapid rate. While AI has the potential to assist in the identification and management of risks, such as in financial risk measurement, analysis, and management, the disruptive nature of these emerging technologies introduces new and complex scenarios. Utilizing these technologies to facilitate decision-making processes could result in biased, inequitable, and unreliable decisions, giving rise to concerns regarding data, privacy, and security. Further research is necessary to understand the implications of AI in financial practices. Artificial Intelligence for Financial Risk Management and Analysis delves into the most recent advancements in AI technologies that facilitate risk analysis and decision-making. It examines the potential risks these technologies pose to individuals, businesses, and establishments. Covering topics such as firm management, automation, and long short-term memory (LSTM) networks, this book is an excellent resource for financial advisors, banking professionals, computer scientists, professionals, researchers, academicians, and more.
Chatgpt And Ai For Accountants
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Author : Dr. Scott Dell
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-06-28
Chatgpt And Ai For Accountants written by Dr. Scott Dell and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-28 with Computers categories.
Elevate your accounting skills by applying ChatGPT across audit, tax, consulting, and beyond Key Features Leverage the impact of AI on modern accounting, from audits to corporate governance Use ChatGPT to streamline your accounting tasks with practical hands-on techniques Understand the impact of AI in accounting through in-depth chapters covering various domains, including ethical considerations and data analytics Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionIn the fast-paced AI world, accounting professionals are increasingly challenged by the complexities of AI. Many struggle to integrate these advanced tools into their workflows, leading to a sense of overwhelm. ChatGPT for Accounting bridges this gap by not only simplifying AI concepts but also offering practical insights for its application in various accounting domains. This book takes you from the foundational principles of Generative Artificial Intelligence (GAI) to its practical applications in audits, tax planning, practice management, fraud examination, financial analysis, and beyond. Each chapter equips you with essential skills, showing you how AI can revolutionize internal control systems, enhance recruitment processes, streamline marketing plans, optimize tax strategies, and boost efficiency in audits. You’ll then advance to exploring the role of AI in forensic accounting, financial analysis, managerial accounting, and corporate governance, while also addressing ethical and security implications. Concluding with a reflective outlook on the promises and challenges of AI, you’ll gain a holistic view of the future of accounting. By the end of this book, you’ll be equipped with the knowledge to harness the power of AI effectively and ethically, transforming your accounting practice and staying ahead in the ever-evolving landscape.What you will learn Understand the fundamentals of AI and its impact on the accounting sector Grasp how AI streamlines and enhances the auditing process for high accuracy Uncover the potential of AI in simplifying tax processes and ensuring compliance Get to grips with using AI to identify discrepancies and prevent financial fraud Master the art of AI-powered data analytics for informed decision-making Gain insights into seamlessly integrating AI tools within existing accounting systems Stay ahead in the evolving landscape of AI-led accounting tools and practices Who this book is for Whether you're a seasoned accounting professional, a C-suite executive, a business owner, an accounting educator, a student of accounting, or a technology enthusiast, this book provides the knowledge and insights you need to navigate the changing landscape in applying GAI technology to make a difference in all you do. An appreciation and understanding of the accounting process and concepts will be beneficial.