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Summary: "Technology-driven innovation in financial services has been attracting global attention and interest. FinTech innovation is presenting a paradigm shift in financial services affecting a wide range of products, processes and services but also sparking a broader evolutionary transformation, growth opportunities and foundational systemic and structural changes in light of technological interdependencies among market players, infrastructures and ecosystem stakeholders. Transformation Dynamics in FinTech contributes to the intellectual curiosity around the symbiotic relationship of finance and technology by focusing on the multidimensional and multidisciplinary role of open innovation within FinTech innovation, observing and communicating the latest technological, managerial, governance, policy and regulatory perspectives, trends and developments. This book is an essential reading for anyone interested in the growing and evolving development of FinTech ecosystems based on new capabilities and structures that create new dominant architectural designs, which determine competitive dynamics, products, services, processes, business models, markets, value chains, within an open and transformed financial services industry landscape"-- Provided by publisher.

Summary: "Agriculture 5.0: Artificial Intelligence, IoT & Machine Learning provides an interdisciplinary, integrative overview of latest development in the domain of smart farming. It shows how the traditional farming practices are being enhanced and modified by automation and introduction of modern scalable technological solutions that cut down on risks, enhance sustainability, and deliver predictive decisions to the grower, in order to make agriculture more productive. An elaborative approach has been used to highlight the applicability and adoption of key technologies and techniques such WSN, IoT, AI and ML in agronomic activities ranging from collection of information, analysing and drawing meaningful insights from the information which is more accurate, timely and reliable.It synthesizes interdisciplinary theory, concepts, definitions, models and findings involved in complex global sustainability problem-solving, making it an essential guide and reference. It includes real-world examples and applications making the book accessible to a broader interdisciplinary readership. This book clarifies hoe the birth of smart and intelligent agriculture is being nurtured and driven by the deployment of tiny sensors or AI/ML enabled UAV's or low powered Internet of Things setups for the sensing, monitoring, collection, processing and storing of the information over the cloud platforms. This book is ideal for researchers, academics, post-graduate students and practitioners of agricultural universities, who want to embrace new agricultural technologies for Determination of site-specific crop requirements, future farming strategies related to controlling of chemical sprays, yield, price assessments with the help of AI/ML driven intelligent decision support systems and use of agri-robots for sowing and harvesting. The book will be covering and exploring the applications and some case studies of each technology, that have heavily made impact as grand successes. The main aim of the book is to give the readers immense insights into the impact and scope of WSN, IoT, AI and ML in the growth of intelligent digital farming and Agriculture revolution 5.0.The book also focuses on feasibility of precision farming and the problems faced during adoption of precision farming techniques, its potential in India and various policy measures taken all over the world. The reader can find a description of different decision support tools like crop simulation models, their types, and application in PA. Features: Detailed description of the latest tools and technologies available for the Agriculture 5.0. Elaborative information for different type of hardware, platforms and machine learning techniques for use in smart farming. Elucidates various types of predictive modeling techniques available for intelligent and accurate agricultural decision making from real time collected information for site specific precision farming. Information about different type of regulations and policies made by all over the world for the motivation farmers and innovators to invest and adopt the AI and ML enabled tools and farming systems for sustainable production"-- Provided by publisher.

Summary: The best source for cutting-edge insights into AI in healthcare operations AI in Healthcare: How Artificial Intelligence Is Changing IT Operations and Infrastructure Services collects, organizes and provides the latest, most up-to-date research on the emerging technology of artificial intelligence as it is applied to healthcare operations. Written by a world-leading technology executive specializing in healthcare IT, this book provides concrete examples and practical advice on how to deploy artificial intelligence solutions in your healthcare environment. AI in Healthcare reveals to readers how they can take advantage of connecting real-time event correlation and response automation to minimize IT disruptions in critical healthcare IT functions. This book provides in-depth coverage of all the most important and central topics in the healthcare applications of artificial intelligence, including: Healthcare IT AI Clinical Operations AI Operational Infrastructure Project Planning Metrics, Reporting, and Service Performance AIOps in Automation AIOps Cloud Operations Future of AI Written in an accessible and straightforward style, this book will be invaluable to IT managers, administrators, and engineers in healthcare settings, as well as anyone with an interest or stake in healthcare technology.

Summary: In Ancient India: Culture of Contradictions, one of India’s most distinguished historians takes readers on an exhilarating voyage of discovery into the distant past. Upinder Singh urges us to abandon simplistic stereotypes and instead think of ancient India in terms of the coexistence of five powerful contradictions—between social inequality and promises of universal salvation, the valorization of desire and detachment, goddess worship and misogyny, violence and non-violence, and religious debate and conflict. She does so using a vast array of sources including religious and philosophical texts, epics, poetry, plays, technical treatises, satire, biographies, and inscriptions, as well as the material and aesthetic evidence of archaeology and art from sites across the subcontinent. Singh’s scholarly but highly accessible style, clear explanation, and balanced interpretations offer an understanding of the historian’s craft and unravel the many threads of what we think of as ancient Indian culture. This is not a dead or forgotten past but one invoked in different contexts even today. Further, in spite of enormous historical changes over the centuries, the contradictions discussed here still remain. Beautifully written, deeply true, and profusely illustrated with masterpieces of ancient, medieval, and modern art, the book brings to life the rich complexity of ancient India and its connections with the present in a vivid and compelling manner.

Summary: "This book addresses the difficulties and challenges that various fields have faced in implementing artificial intelligence for smart technology"-- Provided by publisher.

Summary: Machine learning methods are now an important tool for scientists, researchers, engineers and students in a wide range of areas. This book is written for people who want to adopt and use the main tools of machine learning, but aren’t necessarily going to want to be machine learning researchers. Intended for students in final year undergraduate or first year graduate computer science programs in machine learning, this textbook is a machine learning toolkit. Applied Machine Learning covers many topics for people who want to use machine learning processes to get things done, with a strong emphasis on using existing tools and packages, rather than writing one’s own code. A companion to the author's Probability and Statistics for Computer Science, this book picks up where the earlier book left off (but also supplies a summary of probability that the reader can use). Emphasizing the usefulness of standard machinery from applied statistics, this textbook gives an overview of the major applied areas in learning Covers the ideas in machine learning that everyone going to use learning tools should know, whatever their chosen specialty or career. Broad coverage of the area ensures enough to get the reader started, and to realize that it’s worth knowing more in-depth knowledge of the topic. Practical approach emphasizes using existing tools and packages quickly, with enough pragmatic material on deep networks to get the learner started without needing to study other material.

Summary: "This book examines artistic practices that use machine learning and computational technologies through historical perspectives surrounding adaptive systems from the 1950s onwards"-- Provided by publisher.

Summary: Recent advances in computational algorithms, along with the advent of whole slide imaging as a platform for embedding artificial intelligence (AI), are transforming pattern recognition and image interpretation for diagnosis and prognosis. Yet most pathologists have just a passing knowledge of data mining, machine learning, and AI, and little exposure to the vast potential of these powerful new tools for medicine in general and pathology in particular. In Artificial Intelligence and Deep Learning in Pathology, with a team of experts, Dr. Stanley Cohen covers the nuts and bolts of all aspects of machine learning, up to and including AI, bringing familiarity and understanding to pathologists at all levels of experience.