Advanced Techniques For Using Ai To Master Crypto
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Advanced Techniques For Using AI to Master Crypto
Author: Jeffery W Long
language: en
Publisher: Jeffery William Long
Release Date: 2024-08-21
Advanced Techniques For Using AI to Master Crypto Chapter 1: Introduction to Cryptocurrency Introduction to Cryptocurrency Cryptocurrency has emerged as one of the most revolutionary financial innovations of the 21st century. At its core, cryptocurrency represents digital or virtual currencies that rely on cryptographic principles to secure transactions, regulate issuance, and authenticate transfer of assets. Established in 2009 with the introduction of Bitcoin by an enigmatic figure known as Satoshi Nakamoto, cryptocurrency has since evolved into a multifaceted domain encompassing various aspects of finance and technology. Cryptocurrency owes its existence to the failure and limitations of traditional financial systems. In 2008, the financial crisis exposed the inherent vulnerabilities of centralized banking and the mistrust surrounding monetary institutions. It was against this backdrop that Bitcoin, the first decentralized cryptocurrency, was conceived. By implementing blockchain technology, Bitcoin established the foundation for a new kind of currency free from the control of central authorities and immune to the pitfalls of traditional financial institutions. The impact of cryptocurrencies on modern financial systems cannot be overstated. Cryptocurrencies facilitate peer-to-peer transactions independent of intermediaries, bringing about cost efficiency and speed in transferring funds. As the public becomes increasingly aware of the benefits and potential of cryptocurrencies, the landscape of global finance is undergoing a transformative shift, heralding the advent of a decentralized economy.
Fintech with Artificial Intelligence, Big Data, and Blockchain
Author: Paul Moon Sub Choi
language: en
Publisher: Springer Nature
Release Date: 2021-03-08
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.
Analytical Inventory Management and Optimization
In this vital resource with discussion of and applicability to various industries, Ali, Rabiu, and Ismail guide readers through the challenging environment of inventory management and enable them to successfully balance the demand and supply of items in stock, a critical task in any field. The book covers a wide range of topics related to inventory management and optimization. After introducing the key concepts and principles of inventory management, such as inventory analytics, optimization, and models, the authors provide a comprehensive and in-depth understanding of various inventory control techniques that are essential for effective inventory management, such as ABC analysis, EOQ model, safety stock, and reorder point. They then introduce various mathematical models and optimization techniques such as system-level and item-level inventory analysis and show how to perform sensitivity analyses to test the robustness of these models. They then look at the role of inventory management in various industries such as supply chain management and logistics, manufacturing, and more; and address the effects and integration of cutting-edge technologies like artificial intelligence, machine learning, and robotics to conventional inventory management practices. Additional topics include inventory forecasting, inventory management systems, inventory auditing and control, risk management. In combining mathematical underpinnings in the area with practical case studies throughout, readers will gain a solid understanding of the real-world applications of these different techniques so that they can apply inventory management and optimization best practices in their workplace. The comprehensive coverage makes the book a valuable reference for practitioners and students, particularly postgraduate and MBA students, who require such insights to improve business functions and make informed decisions. Because it provides the foundational mathematical knowledge required to comprehend any chapter, it is also accessible for readers without a strong background in mathematics.