An Amazon bestseller (Stock Market Investing and AI & Semantics categories). Dr. Leonidas Tam's Truth Engine delivers a profound and challenging take on the future of finance. Free from the hype that often surrounds AI, Tam's approach is as rigorous as it is refreshing. By exploring complex concepts like data-driven market analysis and portfolio optimization, he unveils a toolkit for readers to navigate the financial markets in an age where AI is steadily rewriting the rules.As Tam...

Now updated with new measurement methods and new examples, How to Measure Anything shows managers how to inform themselves in order to make less risky, more profitable business decisionsThis insightful and eloquent book will show you how to measure those things in your own business, government agency or other organization that, until now, you may have considered "immeasurable," including customer satisfaction, organizational flexibility, technology risk, a...

Named one of "The five best books to understand AI" by The EconomistThe impact AI will have is profound, but the economic framework for understanding it is surprisingly simple.Artificial intelligence seems to do the impossible, magically bringing machines to life—driving cars, trading stocks, and teaching children. But facing the sea change that AI brings can be paralyzing. How should companies set strategies, governments design po...

An essential guide to the calibrated risk analysis approachThe Failure of Risk Management takes a close look at misused and misapplied basic analysis methods and shows how some of the most popular "risk management" methods are no better than astrology! Using examples from the 2008 credit crisis, natural disasters, outsourcing to China, engineering disasters, and more, Hubbard reveals critical flaws in risk management methods–and shows how ...

We are entering a brave new world, thanks to AI. We must shape this future to the advantage of everyone, and not just a select few.Thinking with Machines: The Brave New World of AI tells the story of AI from its very beginnings through the eyes of Vasant Dhar, currently Robert A Miller Professor at the Stern School of Business, and Professor of Data Science at New York University. Professor Dhar lived through the invention of AI algorithms and their variou...

Project Risk and Cost Analysis focuses on risk in the context of project management, primarily in the area of risk’s effects on project costs, with emphasis on the many modern tools that help you and your organization quantify and manage project risk.  You will learn how to perform a formal risk and cost analysis, apply the Earned Value Method to risk management, and adjust schedule and budget reserves appropriately for your project conditions. The book follows the basic project risk manageme...

Uncover common project management myths to improve project successHow to Measure Anything in Project Management explains why popular methods for measurement in project management are flawed and describes how to conduct measurements that better inform decisions, reduce project risks, and improve the chance of project success. The authors argue that anything that matters to project management at all is measurable and that these measurements address many of t...

Are all film stars linked to Kevin Bacon? Why do the stock markets rise and fall sharply on the strength of a vague rumour? How does gossip spread so quickly? Are we all related through six degrees of separation? There is a growing awareness of the complex networks that pervade modern society. We see them in the rapid growth of the internet, the ease of global communication, the swift spread of news and information, and in the way epidemics and financial crises develop with startling speed...

We often hear that AI is revolutionising the financial sector, like no other technology has done before. This book looks beyond these clichés and explores all aspects of this transformation at a deep level. It spells out a vision for the future and answers many questions that are routinely ignored.What do we mean by Artificial Intelligence in finance? How do we move past the myths and misconceptions to reveal the key driving forces?What are the indu...

How a web-scale network of autonomous micromanagers can challenge the AI revolution and combat the high cost of quantitative business optimization.The artificial intelligence (AI) revolution is leaving behind small businesses and organizations that cannot afford in-house teams of data scientists. In Microprediction, Peter Cotton examines the repeated quantitative tasks that drive business optimization from the perspectives of economics, statistics, decisio...

The supplement I is the scientific foundation for any decision making and problem solving environment. There is a universal coordinate system in which all parameters for a decision or a problem are represented for the purpose of evaluating outcomes, any outcomes. Why qQuantum: because it is Time based.

Published in 1991, the first edition of Forecasting and Management of Technology was one of the leading handful of books to deal with the topic of forecasting of technology and technology management as this discipline was emerging. The new, revised edition of this book will build on this knowledge in the context of business organizations that now place a greater emphasis on technology to stay on the cutting edge of development. The scope of this edition has broadened to include ma...