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Summary: "Organizations provide mind-boggling compensations to their leaders as compared to an average employee. Is it because they work more? Just like the saying 'we are the decisions we make', the very existence of an organization depends on the decisions its leaders make! Decision-making is an interplay of competitive strategies, processes, design, values and culture. Narrating the experiences of industry decision-makers, the book demonstrates that organizational decision-making is akin to navigating through a minefield of biases and execution issues. From analysing key decisions of the past to shaping new ones, this book will empower readers with effective strategies that will allow them to become an integral part of their organization's decision-making environment. Businesses are always on the lookout for effective decision-makers. Whether you are looking to move up the career ladder or do well in your personal life, with How Leaders Decide you will be well on your way! 'Harjeet Khanduja is a quintessential storyteller with a difference. Highly recommended.' S. V. Nathan, Partner and Chief Talent Officer, Deloitte India 'My compliments to Harjeet Khanduja for writing a lucid and easily accessible primer on decision-making that should be of great help to MBA students and practising managers.' Rishikesha T. Krishnan, Director and Professor of Strategy, Indian Institute of Management Bangalore Harjeet Khanduja, known as R. K. Laxman of Business, is an author, TEDx speaker, inventor, influencer and Senior Vice President HR at Reliance Jio"-- Provided by publisher.

Summary: Modern marketing professionals looking to adopt influencer marketing for their brands face equally modern challenges. Like finding the right talent, tracking and measuring results and quantifying how this new marketing opportunity aligns with the overall strategy. Influencer Marketing for Brands is the field guide for the digital age. After working with hundreds of brands from across the globe, author Aron Levin shares his insider knowledge gained from research, strategy, and hands-on experience from more than 10,000 successful collaborations with influencers on Instagram and YouTube. He provides you with valuable insights that help you eliminate guesswork and avoid common mistakes.

Summary: "International Sport Business: Current Issues, Future Directions offers a contemporary and forward-looking survey of the global sport industry, introducing the key themes, trends and critical issues that will impact decision-making and strategy in sport business in the coming decade and beyond. Against a background of globalisation, disruption and social change, the book explores key influences on the development and commercialisation of the sport industry. It examines themes such as governance, the social role of sport, value chains and innovation, the increasing importance of data, digital technology, and leadership. Every chapter includes cutting-edge case studies, commentaries, examples of best practice, and interviews with leading sport business professionals, encouraging the reader to reflect on the factors that determine success in international sport business. The book also looks ahead, imagining potential scenarios for the future of sport. Thought-provoking, underpinned by research evidence, and intended to generate debate and discussion, this is the perfect foundation text for any international sport business course, and an essential guide to the future for sport business practitioners and policy-makers. An accompanying eResource provides reflective questions for each chapter"-- Provided by publisher.

Summary: "The work seeks to provide a management perspective about museums, theatres and related organisations (like auction houses) from the angles of the philosophy, policy, organizational design, economics and technology. The work seeks to examine the unprecedented crisis engendered by the COVID 19 pandemic on arts organizations across the world and the management strategies adopted by to handle the pandemic. The work delves on the immense significance of digital technologies such as streaming technologies, algorithm driven sales and information storing digital ledgers like blockchains in guiding the fortunes of the arts organization both during and beyond the phase of pandemics. The key message of the book is that art organizations will not be the same even after the COVID 19 pandemic. Arts organizations that have for long relied on the real world of exhibitions and performances will be tempted to straddle in both the real and virtual models. Their revenue earnings models will also be more diversified than at present so would their reach to their customers. Further the advent of Non-Fungible Tokens (NFTs) based on blockchain platform Ethereum, it is argued, will turn democratise the world of creation, collection and consumption thus nudging extant institutions to change their prevalent methods of doing business in arts works"-- Provided by publisher.

Summary: "Today, chief risk officers are finding themselves facing the daunting task of providing assurances to senior management and to board members that operational risks are being effectively managed and mitigated. Traditional market and credit risk approaches offer only partial effectiveness in the operational risk field, and this book explores the unique qualitative aspects of operational risk manage-ment. This book also provides insight into some of the (often noto-rious) operational risk events that have occurred in the past 10 years, with analysis of the JPMorgan Whale event, the Archegos Credit Suisse event, the UBS and Société Générale unauthorized trading scandals, the reputational risk events related to LIBOR and the recent Australian Banking scandals, the Knight Capital technology misstep and the management of operational risk at the Olympics. The Covid-19 Pandemic's impact on operational risk losses is also explored, along with the effectiveness of preparations for that event."-- Provided by publisher.

Summary: "This book provides a detailed and up-to-date coverage of machine learning. It is unique in that it unifies approaches based on deep learning with approaches based on probabilistic modeling and inference. It provides mathematical background (e.g. linear algebra, optimization), basic topics (e.g., linear and logistic regression, deep neural networks), as well as more advanced topics (e.g., Gaussian processes). It provides a perfect introduction for people who want to understand cutting edge work in top machine learning conferences such as NeurIPS, ICML and ICLR"-- Provided by publisher.

The vibrant red sandstone temples of India's Deccan Plateau, such as the Pattadakal temple cluster, have attracted visitors since the eighth century or earlier. A UNESCO World Heritage Site and the coronation place of the Chalukya dynasty, Pattadakal and its neighboring sites are of major historical importance. In Shiva's Waterfront Temples, Subhashini Kaligotla situates these buildings in the cosmopolitan milieu of Deccan India and considers how their makers and awestruck visitors would have seen them in their day. Kaligotla reconstructs how architects and builders approached the sites, including their use of ornamentation, responsiveness to courtly values such as pleasure and play, and ingenious juxtaposition of the first millennium's Nagara and Dravida aesthetics, a blend largely unique to Deccan plateau architecture. With over 130 color illustrations, this original book elucidates the Deccan's special place in the lexicon of medieval South Asian architecture.

Summary: "The fifth edition of Strategic Sport Marketing integrates sport marketing frameworks, theory, and practical cases to show students and practitioners how to develop and execute successful sport marketing strategies. The book explains contemporary sports markets, consumer behavior, marketing strategies, and best practices in sports marketing in a clear, comprehensive, and engaging way. Built on a foundation of strategic decision-making, it offers a truly diverse set of case studies, 'sport views' and examples from national and international sports and events, including Australian Rules (AFL) football, European soccer, Russian hockey, Grand Slam tennis and the National Basketball Association (NBA). This new edition is revised to align with contemporary sport marketing applications, conceptualizing sport as part of the experience economy and integrating technology and digitalization themes into the book reflecting the increasing focus on data and digital communications and media delivery of sport. It encourages critical and practical thinking and problem-solving on the part of the reader, to help them improve their real-world professional practice. This book is an essential course text for students of sports marketing and management, as well as a useful resource for all practitioners engaged in the marketing, promotions, or communications of sports organizations or brands. Additional teaching and learning materials are available to accompany this book, including slides, class outlines, and reflective questions and answers for each chapter"-- Provided by publisher.

Summary: "The Future and FinTech examines the fundamental financial technologies and its growing impact on the Banking, Financial Services and Insurance (BFSI) sectors. With global investment amounting to more than 100 billion in 2020, the proliferation of fintech has underpinned the direction payments, loans, wealth management, insurance, and cryptocurrencies are heading. This book presents FinTech from an industrial perspective in the context of architecture and its basic building blocks, e.g., Artificial Intelligence (AI), Blockchain, Cloud, Big Data, Internet of Things (IoT), and its connections to real-life applications at work. It provides a detailed guidance on how FinTech digitalizes business operations, improves productivity and efficiency, and optimizes resource management with the help of some new concepts, such as AIOps, MLOps and DevSecOps. Readers will also discover how FinTech Innovations connect BFSI to the rest of the world with the growing interests in Open Banking, Banking-as-a-Service (BaaS) and FinTech-as-a-Service (FaaS). To help readers understand how FinTech has unlocked numerous opportunities for tapping into the massive substantial group of customers, this book illustrates the massive changes already underway and provides insights into changes yet to come through practical examples and applications with illustrative figures and summary tables, making this book a handy quick reference for all things of FinTech"-- Provided by publisher.

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.