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...

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...

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...

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.

In a world where algorithms beat analysts, portfolios adjust themselves, and data whispers truths before the markets catch up, the rules of investing are being rewritten-line by line, model by model. This bold and timely guide is not just about where to invest, but how to think like an investor in the age of artificial intelligence. It unveils how machine learning is reshaping everything from risk assessment to emotional discipline, and why understanding behavioural psychology is now just ...

A comprehensive treatment of the microeconomics associated with the adoption and use of artificial intelligence.It is well-recognized that recent advances in AI are exclusively advances in statistical techniques for prediction. While this may facilitate automation, this result is secondary to AI’s impact on decision-making. From an economics perspective, predictions have their first-order impacts on the efficiency of decision-making.In The Microeconomic...

This extensively revised comprehensive textbook, covering a wide range of topics, is suitable for courses at the graduate and undergraduate levels, each with a different emphasis. There is more than enough material to cover two semesters of an undergraduate course, as well as a one semester graduate course. The pedagogy provides enough flexibility for an instructor to teach the topics in systems engineering she or he would like. Systems Engineering with Economics, Probability and S...

This book presents a foray into the fascinating process of risk management, beginning from classical methods and approaches to understanding risk all the way into cutting-age thinking. Risk management by necessity must lie at the heart of governing our ever more complex digital societies. New phenomena and activities necessitate a new look at how individuals, firms, and states manage the uncertainty they must operate in. Initial chapters provide an introduction to traditional methods and s...

A thought-provoking examination of how AI might either spur or harm human economic progress.What happens to an economy when machines can think as well as, or even better than, humans? The Economics of Transformative AI tackles this issue, which is one of the most consequential economic questions of our time. This book brings together sixteen research studies from top economists that look closely at how transformative AI reshapes everything from innovation ...