In his groundbreaking book, “The Intersection of SEO and AI Evolution,” Jorge Castro explores the synergy between SEO and artificial intelligence. He uncovers insights and practical wisdom for the future of digital marketing. Castro guides us through the interplay of SEO and AI, revealing their transformative potential. He discusses AI-enhanced SEO strategies and content optimization. The book also delves into adapting SEO for voice search and predictive analysis. Ethical AI in SEO is a recurring theme. Throughout the book, Jorge Castro, an SEO expert, combines expertise with real-world case studies, tips, and advice. It’s a roadmap for SEO professionals, marketers, and business owners in the ever-changing digital marketing landscape. Castro’s book is a guiding star in the era of AI transformation.
This book describes different approaches for solving industrial problems like product design, process optimization, quality enhancement, productivity improvement and cost minimization. Several optimization techniques are described. The book covers case studies on the applications of classical as well as evolutionary and swarm optimization tools for solving industrial issues. The content is very helpful for industry personnel, particularly engineers from the Operation, R&D and Quality Assurance sectors, and also the academic researchers of different engineering and/or business administration background.
The essential futures market reference guide A Complete Guide to the Futures Market is the comprehensive resource for futures traders and analysts. Spanning everything from technical analysis, trading systems, and fundamental analysis to options, spreads, and practical trading principles, A Complete Guide is required reading for any trader or investor who wants to successfully navigate the futures market. Clear, concise, and to the point, this fully revised and updated second edition provides a solid foundation in futures market basics, details key analysis and forecasting techniques, explores advanced trading concepts, and illustrates the practical application of these ideas with hundreds of market examples. A Complete Guide to the Futures Market: Details different trading and analytical approaches, including chart analysis, technical indicators and trading systems, regression analysis, and fundamental market models. Separates misleading market myths from reality. Gives step-by-step instruction for developing and testing original trading ideas and systems. Illustrates a wide range of option strategies, and explains the trading implications of each. Details a wealth of practical trading guidelines and market insights from a recognized trading authority. Trading futures without a firm grasp of this market’s realities and nuances is a recipe for losing money. A Complete Guide to the Futures Market offers serious traders and investors the tools to keep themselves on the right side of the ledger.
The must-have book for all futures traders In Fundamental Analysis, the legendary Jack D. Schwager has produced the most comprehensive, in-depth book ever written on the use of fundamental analysis for futures trading. In what is destined to become the bible of the futures industry, Schwager has poured out insights gathered during his long career as a trader, researcher, bestselling writer, and highly regarded authority in the field. This book is packed with invaluable information you'll use every trading day. "Futures guru Jack Schwager has created the definitive source on using fundamental analysis for price forecasting that no trader can afford to be without." -Tom Baldwin Chairman, Baldwin Group "This book won't make you a great commodities trader instantly, but it will teach you what you must know to start." -Jim Rogers Author, Investment Biker "Jack Schwager always provides clear and compelling material on the often opaque subject of futures trading." -Richard Dennis President, Dennis Trading Group "Jack Schwager's deep knowledge of the markets and his extensive network of personal contacts throughout the industry have set him apart as the definitive market chronicler of our age." -Ed Seykota Fundamental Analysis is the first book in the Schwager on Futures series-the definitive source on the futures market for the next century that no trader will want to be without. Jack Schwager is one of the most important and visible figures in the futures industry today. His Market Wizards and New Market Wizards are two of the bestselling finance titles of all time. Now Schwager has created the most comprehensive guide ever for using fundamental analysis for futures trading. The much-awaited Schwager on Futures series greatly expands and updates material first contained in his A Complete Guide to the Futures Markets, which has been the bible of the industry for the past decade. In this first volume of the series, Fundamental Analysis, Schwager shows traders how to apply analytical techniques to actual price forecasting and trading in virtually all futures contracts currently traded. In chapter after chapter, Schwager draws on what he has learned during his legendary career as a successful trader, researcher, and bestselling investment author to dispense priceless insights. Explains how to apply the techniques of technical analysis to fundamental data-information not found elsewhere * Shows how regression analysis works and tells how to use it as a tool for price forecasting * Includes step-by-step instruction on how to build a forecast model * Contains a 13-chapter section illustrating the applications of fundamental techniques to individual markets and market groups * Outlines how to analyze seasonal fluctuations, including seasonal price charts of 27 active markets Numerous charts, tables, and examples illustrate all key concepts, and the text itself is written in the clear, nontechnical style that has helped make Jack Schwager one of today's most widely read and highly regarded investment writers.
The Future of Airplane Factory: Digitally Optimized Intelligent Airplane Factory defines the architecture, key building blocks, and roadmap for actualizing a future airplane factory (FAF) that is digitally optimized for intelligent airplane assembly. They fit and integrate with other FAF building blocks that aggregate to a Digitally Optimized Intelligent Airplane Factory (DOIAF). The word "intelligent" refers to the ability of a system to make right decisions and take right action in the highly dynamic and fluid environment of the modern airplane manufacturing space. The event-driven dynamics inherent in the complexity of this environment drive the need for expert knowledge which resides in intelligence systems incorporating the experience of experts. Expert knowledge need not be smart, brilliant, or possess genius as long as the outcomes are derived from right decisions resulting in right actions-applied rapidly to sustain an optimized factory enterprise. Complete factory enterprise visibility requires a higher order of decision capability that current operating systems do not have. A highly visible factory collects and displays data and information as it happens-at a rate beyond the ability of humans and current systems to analyze, process, decide, and act upon. Expert systems are constructed to present humans with right decisions in the form of optimal choices for right actions by incorporating the knowledge of experts into the logic for the decision. Structured Knowledge-Based Expert Systems (SKBES) are incorporated in this book and defined as a critical component for full enterprise actionable visibility. The power of the Digitally Optimized Intelligent Airplane Factory not only is found in its ability to unify the factory, reduce touch labor, improve quality, and streamline throughput but it also enables a significant reduction in above-the-shop-floor support and management. Such an ecosystem frees the human to focus on the complexity of interpersonal responsibilities. If the use of a DOIAF can be viewed as a holistic mechanism, then the human can be the agent engaging with that mechanism; improving negotiations for pricing, contracts, or other person-to-person events that require instinct and relationship.
In light of anthropogenic climate change and the importance of energy to ensure high living standards, energy system optimization is used to explore different energy system layouts. A recent focus has been on determining cost-effective ways to mitigate greenhouse gas emissions. This work investigates how future uncertainties regarding technology costs influence optimization results. This is achieved through energy system optimization aimed at reducing system cost using stochastic optimization with probability distributions to capture expected future costs and uncertainties. Theoretical considerations and a minimal example energy system show that Jensen's inequality leads to an overestimation of necessary system costs when scenario optimization considers only the expected technology cost means. Stochastic optimization is applied to a model of the German energy system, including the electricity, heating, and transport sectors. Results from stochastic optimization are compared to scenario results based on mean cost distributions. The use of a factor effect-based meta-model and fewer optimizations in stochastic analysis are investigated to reduce computational effort. The results confirm the overestimation of necessary costs by scenario optimization, showing a 3.5% overestimation with an 80% emission reduction target and 0.4% for a completely renewable system. Stochastic optimization also provides the interquartile range to characterize uncertainty, with a 13.2 Euro MWh-1 interquartile range (27.3% of the mean) for a completely renewable system. Using 30 to 60 optimizations in the stochastic case yields results similar to 500 optimizations, the benchmark. The proposed meta-models offer limited advantages except for predicting extreme results, which are not evident with fewer optimizations. In some cases, especially for non-renewable systems, the expected values from stochastic optimization differ significantly from scenario optimization results. For instance, at a 20% emission limit of 1990 levels, scenario optimization yields 18% of the CO2 emissions compared to the mean of stochastic optimization. Similar differences are seen in other parameters, though most are well-represented by scenario results. Clustering helps manage the diverse results from stochastic optimization by identifying underlying system layouts. Stochastic optimization with probability distributions is robust, with small changes to distributions having minimal impact on outcomes.
