The advancement in FinTech especially artificial intelligence (AI) and machine learning (ML), has significantly affected the way financial services are offered and adopted today. Important financial decisions such as investment decision making, macroeconomic analysis, and credit evaluation are getting more complex in the field of finance. ML is used in many financial companies which are making a significant impact on financial services. With the increasing complexity of financial transaction processes, ML can reduce operational costs through process automation which can automate repetitive tasks and increase productivity. Among others, ML can analyze large volumes of historical data and make better trading decisions to increase revenue. This book provides an exhaustive overview of the roles of AI and ML algorithms in financial sectors with special reference to complex financial applications such as financial risk management in a big data environment. In addition, it provides a collection of high-quality research works that address broad challenges in both theoretical and application aspects of AI in the field of finance.

Exploring how changes in advanced technology deeply affect international politics, this book theoretically engages with the overriding relevance of investments in technological research, and the ways in which they directly foster a country's economic and military standing. Scholars and practitioners present important insights on the technical and social issues at the core of technology competition. Technology and International Relations emphasizes the importance of leadership styles, domestic political agendas and the relative weight of technologically driven countries in global affairs. It highlights the now widely shared belief among both developed and developing countries that technology will be the defining factor in international politics. The book also unpacks the complexity of real-life cases of key technological advances, including artificial intelligence, UAVs, satellites and the responses of governments and the private sector to rising technological challenges. This will be an important read for scholars of political science, international relations and international political economy, particularly those looking at the impact of technology and innovation.

Jer Thorp's analysis of the word "data" in 10,325 New York Times stories written between 1984 and 2018 shows a distinct trend: among the words most closely associated with "data," we find not only its classic companions "information" and "digital," but also a variety of new neighbours - from "scandal" and "misinformation" to "ethics," "friends," and "play." To live in data in the twenty-first century is to be incessantly extracted from, classified and categorised, statistic-ified, sold, and surveilled. Data - our data - is mined and processed for profit, power, and political gain. In Living in Data, Thorp asks a crucial question for our time: How do we stop passively inhabiting data, and instead become active citizens of it? Threading a data story through hippo attacks, glaciers, and school gymnasiums, around colossal rice piles, and over active minefields, Jer Thorp reminds us that the future of data is still wide open, that there are ways to transcend facts and figures to engage more viscerally with data, and that there are always new stories to be told about how data can be used. Punctuated with Thorp's original and informative illustrations, Living in Data not only redefines what data is, but also reimagines who gets to speak its language and how to use its power to create a more just and democratic future. Timely and inspiring, Living in Data gives us a much-needed path forward.