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Del 1 - Computational Intelligence & Knowledge-based Systems: Models, Algorithms & Applications
Ai In Finance: Shaping The Future Of Intelligent Automation And Financial Services
Inbunden, Engelska, 2026
1 411 kr
Skickas inom 3-6 vardagar
This book provides a clear and accessible overview of how artificial intelligence (AI) and robotics are revolutionizing the financial industry. It begins by introducing the key concepts of AI and its historical evolution, emphasizing its growing importance in finance. The reader is then guided through the foundational technologies, including machine learning and neural networks, while also addressing the ethical challenges of AI.As the book progresses, it explores practical applications, such as how AI enhances financial analysis, risk management, and operational efficiency through automation. It also discusses AI-driven investment strategies, like algorithmic trading and robo-advisors, and highlights how AI improves customer experiences with tools like chatbots and personalized services.Further chapters focus on AI's role in risk management, regulatory compliance, and cybersecurity, as well as its influence on innovative financial products like InsurTech and cryptocurrencies. The book concludes by examining AI's impact on financial planning, future workforce skills, and the broader transformation of the financial sector, offering predictions and strategic recommendations for stakeholders.
2 233 kr
Kommande
AI-Driven Analytics for Optimized Information Systems explores the transformative role of artificial intelligence (AI) and advanced analytics in enhancing and optimizing information systems across industries. As organizations become increasingly reliant on data to drive their decision-making, AI-powered analytics are in turn becoming increasingly critical for improving operational efficiency, predictive capabilities, and decision-making accuracy.Topics covered in this book include data preprocessing, feature engineering, real-time analytics, predictive modeling, and resource optimization, with a particular focus on the integration of explainable AI (XAI) techniques to ensure that AI-driven decisions are transparent, interpretable, and ethically sound. Written for researchers, practitioners, and students in computer science, data analytics, and information systems, this volume contains carefully crafted theoretical insights and practical guidance to empower decision-makers, entrepreneurs, and executives.Whether you are looking to implement AI technologies within your organization, seek to advance your research in AI-driven analytics, or simply want to demystify AI concepts and translate them into actionable strategic, operational, and leadership insights, AI-Driven Analytics is an essential resource for understanding how AI can optimize information systems in today's data-driven world.