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.
Strategic Workforce Planning is a practical guide to effectively assess, manage and prepare for current and future workforce requirements. It demystifies the often complex and seemingly technical world of strategic workforce planning to explain what it is, why it's necessary and most importantly, how to do it. Packed full of advice and real-world examples, Strategic Workforce Planning is a playbook for workforce planning from beginning to end. It enables HR professionals to answer core business questions including how do I analyze future hiring demand? How do I assess what skills will be required in the future? How should I prioritize investments like training and development? How do I assess the supply of talent around the world? How do I identify the business drivers that impact workforce demand? It also covers the impact of artificial intelligence (AI), automation and machine learning on the global workforce and how to deal with these implications. Whether you're a start-up, small business or a large corporate, this book will show you how to align people strategy with company strategy to ensure your organization maintains its competitive advantage.
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.
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.
