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Agribusiness Innovation and Contextual Evolution, Volume I: Strategic, Managerial and Marketing Advancements (Palgrave Intersections of Business and the Sciences, in association with Gnosis Mediterranean Institute for Management Science)
by Demetris Vrontis Alkis Thrassou Antonino Galati Mariantonietta FioreAgriculture is the oldest and most traditional of economic sectors, and its business has seen major evolutionary leaps over the past century. Contemporary agribusiness is being influenced and reshaped by technological advancements, geopolitical developments, globalisation, transport and logistics innovations, as well as changes in industry structure and consumer behaviour. Reflecting on these changes and providing a deep dive into this sector, this two-volume scientific works’ collection defines, refines, analyses, and prescribes the evolution of agribusiness in the present and future. Taken together, the books offer a comprehensive conceptualisation of the multifactorial macro, micro and organisational elements of agribusiness, including strategic, managerial, marketing, technological and geo-socio-political forces. Volume I explores the strategic, managerial and marketing aspects of contemporary agribusiness, and descriptively and prescriptively investigates the organisational and immediate industry practices and sectoral forces. Topics covered include circular business models, CSR communication practices, digital marketing, organisational sustainability and contemporary farming systems, to name a few..
Agribusiness Innovation and Contextual Evolution, Volume II: Technological, Societal and Channel Advancements (Palgrave Intersections of Business and the Sciences, in association with Gnosis Mediterranean Institute for Management Science)
by Demetris Vrontis Alkis Thrassou Antonino Galati Mariantonietta FioreAgriculture is the oldest and most traditional of economic sectors, and its business has seen major leaps in innovation over the past century. Contemporary agribusiness is being influenced and reshaped by technological developments, geopolitical developments, and globalisation, as well as transport and logistics innovations, changes in consumer behaviour.Reflecting on these changes and providing a deep dive into this sector, this two-volume work defines, refines, analyses, and prescribes the evolution of agribusiness in the present and future. Taken together, the books offer a comprehensive conceptualisation of the multifactorial macro, micro and organisational elements of agribusiness, including strategic, managerial, marketing, technological and geo-socio-political forces.Volume II focuses on the wider, macro-environmental forces acting upon agribusinesses, exploring the contextual evolutions that impact the sector, and the means, practices and avenues for its development.It includes topics such as digital technologies adoption, supply chain sustainability, big data analytics, women’s agricultural entrepreneurship, and simulation model decision making.
Agricultural Sector in India: Accelerating Growth and Enhancing Competitiveness
by MruthyunjayaThis book presents a comprehensive overview of a range of concepts, methods, strategies and policies in agriculture and natural resource management, environmental economics, production economics and sustainable agricultural development. It explores effective analytical tools and science, innovations, and management solutions to enhance yields, manage the supply chain, strengthen institutional mechanisms, and service and support systems for farmers. It highlights the importance of enabling policies which can benefit farmers, resulting in cost-efficient and quality-improving farm practices, increased profits and income for farmers, and better management of natural resources. The essays in the book honour the academic, teaching, and research contributions of Professor R. Ramanna in the field of agricultural economics. They also address issues which are relevant to the growing research in sustainable agricultural development and natural resource management including the use of new concepts, tools, analyses, technologies, innovations, and policy strategies modelled in local contexts that can easily be scaled and applied to similar contexts elsewhere. This book will be of interest and use to students, researchers, practitioners,and policymakers working in varied fields of agricultural economics, sustainable development, public policy, rural sociology, political economy, economics of innovation, institutional economics, and industrial organisation.
Agritourism for Sustainable Development: Reflections from Emerging African Economies
by Admire Mthombeni Bronson Mutanda Collen Sabao Dumisani Rumbidzai Muzira Dzingai Kennedy Nyahunzvi Edward Chinongwa Enard Mutenheri Ernest Mugoni Felix Chari Geoffrey Korir Gilda Eyang Gracious Mutipforo Hellen Amunga Jabulani Garwi Judith Moyo Katsande Chipo Martin Dzapasi Noreen Watyoka Nyasha Tendai Makiwa Lucyna Przezborska-Skobiej Komborerai Wilfred Chikwape Obert Sifile Ranganayi Njodzi Raymond Mapuranga Regis Muchowe Samulo Mutale Sharon Chisango Shingirai Siziba Solomon Marime Tendai Shelton Muwani Tichakunda Valentine Chabata Willard Muntanga Yeukayi Dzapasi Zibanai ZhouThrough the lens of African emerging economies, this text examines empirical studies and the related practices of agritourism. By looking at tourism innovation, entrepreneurship ethics and responsibility of public and private organizational stakeholders, the text promotes an understanding of how radical novel sustainable agritourism might be implemented to help society's living become more sustainable with low usage of material resources, low energy and environmental cost. Informed by the 2030 Agenda for Sustainable Development and Sustainable Development Goals (SDGs) framework, which emphasize the fostering of novel sustainable agritourism, the book includes: methodologies, theory, reviews, primary research findings and practice topics such as start-ups, legal aspects, CSR and digital technologies techniques and tools with global application The book will be of interest to academics and postgraduate students interested in the challenges of sustainable agritourism and African emerging economies.
AI: Unexplainable, Unpredictable, Uncontrollable (Chapman & Hall/CRC Artificial Intelligence and Robotics Series)
by Roman V. YampolskiyDelving into the deeply enigmatic nature of Artificial Intelligence (AI), AI: Unexplainable, Unpredictable, Uncontrollable explores the various reasons why the field is so challenging. Written by one of the founders of the field of AI safety, this book addresses some of the most fascinating questions facing humanity, including the nature of intelligence, consciousness, values and knowledge.Moving from a broad introduction to the core problems, such as the unpredictability of AI outcomes or the difficulty in explaining AI decisions, this book arrives at more complex questions of ownership and control, conducting an in-depth analysis of potential hazards and unintentional consequences. The book then concludes with philosophical and existential considerations, probing into questions of AI personhood, consciousness, and the distinction between human intelligence and artificial general intelligence (AGI).Bridging the gap between technical intricacies and philosophical musings, AI: Unexplainable, Unpredictable, Uncontrollable appeals to both AI experts and enthusiasts looking for a comprehensive understanding of the field, whilst also being written for a general audience with minimal technical jargon.
AI and Chatbots in Fintech: Revolutionizing Digital Experiences and Predictive Analytics (Contributions to Finance and Accounting)
by Gioia ArnoneThis book is a comprehensive guide to the use of Artificial Intelligence (AI) in the Financial Technology (FinTech) industry. It is comprised of ten chapters, each addressing a specific aspect of AI in FinTech. The reader is introduced to AI in FinTech, including its history and current state and the role of chatbots in FinTech and how they are used to improve customer service. Furthermore, the book explores the business framework of AI-based ChatGPT in FinTech, including the technology behind ChatGPT and how it can be applied to various financial sectors. The book examines the use of predictive analytics and machine learning in FinTech, highlighting how these tools are used to predict customer behavior and improve decision-making. The author delves into how ChatGPT is used to determine buying behavior and discusses the use of machine learning to reshape the digital experience in FinTech. Additionally, the book provides best practices for retaining customers in FinTech, including how to use AI to create personalized experiences that keep customers coming back, and explores the different applications of predictive models in FinTech, including how they are used to improve risk management and fraud detection. Lastly, the book discusses the use of ChatGPT for stock price prediction and the detection of financial fraud and examines the role of ChatGPT in the world of cryptocurrency, including how it can be used to make informed investment decisions. Overall, this book provides a comprehensive overview of the different ways AI is being used in FinTech and the potential it holds for improving customer experiences and driving innovation in the financial industry.
AI Chatbots: The Good, The Bad, and The Ugly (Synthesis Lectures on Engineering, Science, and Technology)
by James CrowderThis book explores the subject of artificial psychology from the standpoint of how online Chatbots have infiltrated and affected societies and the world in general. The book explores the psychological effects of depending on an online entity for our needs – even if it’s a reminder of scheduled events. The author provides insight into the notion of human-Chatbot exchanges, understanding, and false emotions both from the Chatbot and from the human. He goes on to investigate and discuss the dangers of too much reliance on technology that learns from a variety of sources and how some sources can negatively influence Chatbots, and by doing so, negatively affect people. The book also discusses human-Chatbot interactions and the natural language interface(s) required to respond adequately to humans. Lastly, the author explores the notion of ethical considerations for people, based on their interactions with Chatbots, including information based on cultural differences between different regions of the world.
AI-Driven Project Management: Harnessing the Power of Artificial Intelligence and ChatGPT to Achieve Peak Productivity and Success
by Kristian BaineyAccelerate your next project with artificial intelligence and ChatGPT In AI-Driven Project Management: Harnessing the Power of Artificial Intelligence and ChatGPT to Achieve Peak Productivity and Success, veteran IT and project management advisor Kristian Bainey delivers an insightful collection of strategies for automating the administration and management of projects. In the book, the author focuses on four key areas where project leaders can achieve improved results with AI's data-centric capabilities: minimizing surprises, minimizing bias, increasing standards, and accelerating decision making. You'll also find: Primers on the role of AI and ChatGPT in Agile, Hybrid, and Predictive approaches to project management How to accurately forecast a project with ChatGPT Techniques for crafting impactful AI strategy using AI project management principles Perfect for managers, executives, and business leaders everywhere, AI-Driven Project Management is also a must-read for project management professionals, tech professionals and enthusiasts, and anyone else interested in the intersection of artificial intelligence, machine learning, and project management.
AI, Ethics, and Discrimination in Business: The DEI Implications of Algorithmic Decision-Making (Palgrave Studies in Equity, Diversity, Inclusion, and Indigenization in Business)
by Marco MarabelliThis book takes a historical approach to explore data, algorithms, their use in practice through applications of AI in various settings, and all of the surrounding ethical and DEI implications. Summarizing our current knowledge and highlighting gaps, it offers original examples from empirical research in various settings, such as healthcare, social media, and the GIG economy.The author investigates how systems relying on a binary structure (machines) work in systems that are instead analogic (societies). Further, he examines how underrepresented populations, who have been historically penalized by technologies, can play an active role in the design of automated systems, with a specific focus on the US legal and social system.One issue is that main tasks of machines concern classification, which, while efficient for speeding up decision-making processes, are inherently biased. Ultimately, this work advocates for ethical design and responsible implementation and deployment of technology in organizations and society through through government-sponsored social justice, in contrast with free market policies.This interdisciplinary text contributes to the timely and relevant debate on algorithmic fairness, biases, and potential discriminations. It will appeal to researchers in business ethics and information systems while building on theories from anthropology, psychology, sociology, management, marketing, and economics.
AI for Good: Applications in Sustainability, Humanitarian Action, and Health
by Juan M. Lavista Ferres William B. WeeksDiscover how AI leaders and researchers are using AI to transform the world for the better In AI for Good: Applications in Sustainability, Humanitarian Action, and Health, a team of veteran Microsoft AI researchers delivers an insightful and fascinating discussion of how one of the world’s most recognizable software companies is tacking intractable social problems with the power of artificial intelligence (AI). In the book, you’ll learn about how climate change, illness and disease, and challenges to fundamental human rights are all being fought using replicable methods and reusable AI code. The authors also provide: Easy-to-follow, non-technical explanations of what AI is and how it works Examinations of how healthcare is being improved, climate change is being addressed, and humanitarian aid is being facilitated around the world with AI Discussions of the future of AI in the realm of social benefit organizations and efforts An essential guide to impactful social change with artificial intelligence, AI for Good is a must-read resource for technical and non-technical professionals interested in AI’s social potential, as well as policymakers, regulators, NGO professionals, and, and non-profit volunteers.
AI for Humanity: Building a Sustainable AI for the Future
by Andeed Ma James Ong Siok Siok TanCapture the value of cutting-edge AI while mitigating its most salient risks AI For Humanity: Building a Sustainable AI for the Future delivers an incisive and timely discussion of how to design, build, and implement cutting-edge AI in for-profit firms and other organizations in a responsible, sustainable, and ethical way. The book walks you through the three pillars of human-focused AI development—governance, technology, and commercialization—and dives deep into each one, showing you how to create AI products and services that better humanity and advance universally held values. You'll find methodologies and frameworks that mitigate against some of the most profound and unsettling risks of unchecked artificial intelligence development, and roadmaps to help you avoid the numerous pitfalls and traps awaiting unsuspecting companies, managers, and executives. You'll also discover: Real-world case studies, from companies including SAP, Huawei, and Tencent, demonstrating the actual dilemmas and questions firms face when developing and implementing this extraordinary tech Actionable commitments you can make to help ensure you and your company avoid the ethical and reputational risks associated with AI Strategies for AI product and service development consistent with sustainable growth Perfect for managers, executives, directors, and other business leaders with a stake in responsible artificial intelligence design, development, and implementation, AI For Humanity will also interest regulators, academics, thought leaders, and policy makers doing their best to capture AI's substantial potential value while mitigating its most serious risks.
AI for Social Good: Using Artificial Intelligence to Save the World
by Rahul DodhiaUnderstand the real power of AI and and its ability to shape the future for the better. AI For Social Good: Using Artificial Intelligence to Save the World bridges the gap between the current state of reality and the incredible potential of AI to change the world. From humanitarian and environmental concerns to advances in art and science, every area of life stands poised to make a quantum leap into the future. The problem? Too few of us really understand how AI works and how to integrate it into our policies and projects. In this book, Rahul Dodhia, Deputy Director of Microsoft’s AI for Good Research Lab, offers a nontechnical exploration of artificial intelligence tools—how they’re built, what they can and can’t do, and the raw material that teaches them what they “know.” Readers will also find an inventory of common challenges they might face when integrating AI into their work. You'll also read more on: The potential for AI to solve longstanding issues and improve lives Learn how you can tap into the power of AI, regardless of the size of your organization Gain an understanding of how AI works and how to communicate with AI scientists to create new solutions Understand the real risks of implementing AI and how to avoid potential pitfalls Real-life examples and stories that demonstrate how teams of AI specialists, project managers, and subject matter experts can achieve remarkable products. Written for anyone who is curious about AI, and especially useful for policymakers, project managers, and leaders who work alongside AI, AI For Social Good provides discussions of how AI scientists create artificially intelligent systems, and how AI can be used ethically (or unethically) to transform society. You’ll also find a discussion of how governments can become more flexible, helping regulations keep up with the fast pace of change in technology.
AI Investing For Dummies
by Paul MladjenovicWinning strategies for investors looking to boost gains with artificial intelligence AI is one of the hottest investment trends on Wall Street. AI Investing For Dummies gives you all the must-know details on how artificial intelligence can benefit investors. You’ll learn how powerful AI can be in helping you make better decisions, identify hidden opportunities, and build wealth in stocks, bonds, commodities, and real estate. This easy-to-understand Dummies guide also covers budgeting, taxes, estates, and planning for college and retirement—all with AI-specific tactics that can improve efficiency, mitigate risk, and level up your portfolio’s performance. You’ll also find all the info you need to sift through and implement the right resources and solutions for you. Understand the benefits and drawbacks of AI investing Debunk the biggest myths about AI investing Get an in-depth analysis of the top AI stocks to watch Learn how to avoid common pitfalls in AI investing Take a peek at the role of AI in shaping the future of finance This is the ideal Dummies resource for consumers and investors who are new to AI and want to wrap their heads around this emerging technology.
AI Management System Certification According to the ISO/IEC 42001 Standard: How to Audit, Certify, and Build Responsible AI Systems
by Sid Ahmed BenraouaneThe book guides the reader through the auditing and compliance process of the newly released ISO Artificial Intelligence standard. It provides tools and best practices on how to put together an AI management system that is certifiable and sheds light on ethical and legal challenges business leaders struggle with to make their AI system comply with existing laws and regulations, and the ethical framework of the organization.The book is unique because it provides implementation guidance on the new certification and conformity assessment process required by the new ISO Standard on Artificial Intelligence (ISO 42001:2023 Artificial Intelligence Management System) published by ISO in August 2023. This is the first book that addresses this issue.As a member of the US/ISO team who participated in the drafting of this standard during the last 3 years, the author has direct knowledge and insights that are critical to the implementation of the standard. He explains the context of how to interpret ISO clauses, gives examples and guidelines, and provides best practices that help compliance managers and senior leadership understand how to put together the AI compliance system to certify their AI system. The reader will find in the book a complete guide to the certification process of AI systems and the conformity assessment required by the standard. It also provides guidance on how to read the new EU AI Act and some of the U.S. legislations, such as NYC Local Law 144, enacted in July 2023.This is the first book that helps the reader create an internal auditing program that enhances the company’s AI compliance framework. Generative AI has taken the world by storm, and currently, there is no international standard that provides guidance on how to put together a management system that helps business leaders address issues of AI governance, AI structure, AI risk, AI audit, and AI impact analysis. ISO/IEC 42001:2023 is the first international mandatory and certifiable standard that provides a comprehensive and well-integrated framework for the issue of AI governance. This book provides a step-by-step process on how to implement the standard so the AI system can pass the ISO accreditation process.
The AI Playbook: Mastering the Rare Art of Machine Learning Deployment (Management on the Cutting Edge)
by Eric SiegelIn his bestselling first book, Eric Siegel explained how machine learning works. Now, in The AI Playbook, he shows how to capitalize on it.&“Eric Siegel delivers a robust primer on machine learning, the key mechanism in AI. A forward-looking, practical book and a must-read for anyone in the information economy.&” —Scott Galloway, NYU Stern Professor of Marketing; bestselling author of The Four &“An antidote to today&’s relentless AI hype—why some AI initiatives thrive while others fail and what it takes for companies and people to succeed.&”—Charles Duhigg, author of bestsellers The Power of Habit and Smarter Faster BetterThe greatest tool is the hardest to use. Machine learning is the world&’s most important general-purpose technology—but it&’s notoriously difficult to launch. Outside Big Tech and a handful of other leading companies, machine learning initiatives routinely fail to deploy, never realizing value. What&’s missing? A specialized business practice suitable for wide adoption. In The AI Playbook, bestselling author Eric Siegel presents the gold-standard, six-step practice for ushering machine learning projects from conception to deployment. He illustrates the practice with stories of success and of failure, including revealing case studies from UPS, FICO, and prominent dot-coms. This disciplined approach serves both sides: It empowers business professionals, and it establishes a sorely needed strategic framework for data professionals. Beyond detailing the practice, this book also upskills business professionals—painlessly. It delivers a vital yet friendly dose of semi-technical background knowledge that all stakeholders need to lead or participate in machine learning projects, end to end. This puts business and data professionals on the same page so that they can collaborate deeply, jointly establishing precisely what machine learning is called upon to predict, how well it predicts, and how its predictions are acted upon to improve operations. These essentials make or break each initiative—getting them right paves the way for machine learning&’s value-driven deployment.What kind of AI does this book cover? The buzzword AI can mean many things, but this book is about machine learning, which is a central basis for—and what many mean by—AI. To be specific, this book covers the most vital use cases of machine learning, those designed to improve a wide range of business operations.
AI-Powered Bitcoin Trading: Developing an Investment Strategy with Artificial Intelligence
by Eoghan LeahySurvive and thrive amongst the professional traders using sophisticated cryptocurrency analysis and trading techniques The purpose of this book is to provide a concise yet comprehensive background of some effective methods for analyzing markets and creating fully automated AI-optimized trading systems. The book outlines some easy-to-replicate yet highly effective quant trading techniques that can be used for analyzing asset prices and then apply them to Bitcoin prices, showing how to generate actionable insights from data that can be used to create fully automated trading signals and systems. Big data analytics can be enhanced with artificial intelligence techniques. Back testing and optimization methods are presented with a special emphasis placed on the use of distributed genetic algorithms for parameter optimization. Finally, a case study of a fully automated trend-following trading strategy that leverages artificial intelligence is presented. Bitcoin AlphaBot™ combines human insight with AI-driven optimization to build profit table trend trading strategies.
Air Curtains for Buildings and Industrial Processes (SpringerBriefs in Applied Sciences and Technology)
by Alexander Zhivov Andrey StronginThis book is based on several decades of authors’ research and practical experience in the areas of industrial and commercial buildings ventilation and energy efficiency as well as in process optimization in different types of industrial facilities. The Book discusses different types of air curtains used around the world and describes design, applications, pros and cons and examples for each type of air curtain. The book is illustrated with schematics of air curtains and pictures from their real-life implementation from around-the -world. To compare various design of air curtains, authors propose several indicators/efficiency criteria, which address effectiveness of air curtains, their energy and performance efficiency. The target audience for this book are energy and process engineers and designers of large commercial and industrial facilities, warehouses, and hangars.
Air Quality and Human Health
by Markus Hecker Pratap Kumar Padhy Soumya Niyogi Pulak Kumar PatraThe book is one of the outcomes of the SPARC (Scheme for Promotion of Academic and Research Collaboration) project titled "Fine particulates matters in the air environment and their cancer risks in human beings," sponsored by MHRD (now MoE), Govt. of India. The editors of the book are PIs and Co-PIs of the said project. The text deliberates on air pollution's health risks with contributions from well-known experts from diverse research fields (environmental science, toxicology, geology, public health science, biology, physics, chemistry, and geospatial technology). It explores it its control and mitigation strategies. The book provides an up-to-date overview of the modern methods and tools used in air quality monitoring and human health risk assessment. Case studies from different global settings offer invaluable insights into air pollution-related regional health issues. It addresses all aspects of air quality, covering indoor-outdoor air pollution, gaseous and particulate pollutants; characterization of source and pathways of air pollutants; and the modeling and assessing of health risks (respiratory, epidemiological, and toxicological) with regional and global perspectives. It also addresses air quality management issues. The lucid explanation of the role of oxidative stress mechanisms and molecular biomarkers (genomics, proteomics) may be considered as inputs into the development of cancer therapeutics. Along with providing a scientific basis for air pollution, this book will help readers appreciate the environmental determinants of public health and apply research evidence to improve the quality of life. It also delineates future research initiatives and policy actions needed to protect human health from air pollution, locally and globally. The book will be of great educational value and help for consultation and teaching.
Air Transport Economics: From Theory to Applications
by Bijan Vasigh Brian PearceAir Transport Economics: From Theory to Applications uniquely merges the institutional and technical aspects of the aviation industry with their theoretical economic underpinnings. Its integrative approach offers a fresh point of view that will find favor with many students of aviation. This fourth edition has undergone extensive updates throughout. It features new material addressing the impact of COVID-19 on the air transport industry, and the efforts made by both the industry and governments to facilitate recovery. A new chapter examines the impact of air transport on climate change and how government policies to address this issue could reshape the industry. Additionally, alongside expanded coverage of revenue management and pricing decisions, this fourth edition incorporates case studies that give real-world examples to reflect current industry practices. Moreover, there is a discussion of the latest computer applications that enhance the effectiveness of the new techniques. This book offers a self-contained theory and applications-oriented text for individuals aspiring to enter the aviation industry as a practicing professional in the management area. It will be of the greatest relevance to undergraduate and graduate students aiming to acquire a comprehensive grasp of the economics of the aviation industry. The review questions at the end of each chapter have been expanded considerably, and an online assignment has been introduced for each chapter. This book will also appeal to many professionals who seek an accessible and practical explanation of the underlying economic forces that shape the industry.
Airport Baggage Handling Systems: Using the Baggage Factory Approach to Support AI Optimisation, Decisions, and Design Processes
by Brahim RekiekThe competition between airports demands higher-quality services to satisfy passengers. A Baggage Handling System (BHS) serves functions such as baggage sorting, screening, and storage. A successful BHS means bags move between areas as travellers do. Handlers load/unload bags and transfer them between the airport's areas. Automation can save money and bring safety and operational benefits. Warehouses as well as the automotive industry are more advanced technologically in comparison to the airport and especially the baggage handling business. The concept of the Baggage Factory (BF) is an approach (based on Industry 4.0) that simplifies the processes from the moment passengers drop off their bags at check-in till the destination (chutes, carousels, and so forth). Airport Baggage Handling Systems: Using the Baggage Factory Approach to Support AI Optimisation, Decisions, and Design Processes introduces the features of the BF concept and presents how BHS designers can use AI technology to tackle many BHS problems and concerns. The book bridges the gap between airport BHS designers and experts in AI and optimisation. It describes in detail the field of baggage handling using algorithms for sorting bags or optimising the flow. The way the systems are designed is discussed, and a behind-the-scenes look at the BHS industry and how it affects the daily lives of travellers is presented. International and multidisciplinary in approach, this book is an ideal resource for practitioners, students, and researchers involved in the air transportation industry, Tourism, Systems Engineering, Layout and Design, Artificial Intelligence, Assembly Automation, and Logistics fields.
The Algebra of Wealth: A Simple Formula for Financial Security
by Scott GallowayA must-have guide to optimizing your life for wealth and success, from bestselling author, NYU professor, and co-host of the Pivot podcast Scott Galloway.Today's workers have more opportunities and mobility than any generation before. They also face unprecedented challenges, including inflation, labor and housing shortages, and climate volatility. Even the notion of retirement is undergoing a profound rethink, as our life spans extend and our relationship with work evolves. In this environment, the tried-and-true financial advice our parents followed no longer applies. It's time for a new playbook.In The Algebra of Wealth, Galloway lays bare the rules of financial success in today's economy. In his characteristic unvarnished, no-BS style, he explains what you need to know in order to better your chances for economic security no matter what. You&’ll learn:How to find and follow your talent, not your passion, when making career decisionsHow to ride and optimize big economic waves (hard truth: market dynamics always trump individual achievement)What small steps you can take that pay big returns later, including diversification and tax planningHow stoicism can help you minimize spending and develop better financial habitsBursting with practical, game-changing advice from one of the world&’s most popular business school professors, The Algebra of Wealth is the practical guidebook you need to win today&’s wealth game.
Algeria: Selected Issues Paper (Imf Staff Country Reports #Country Report No. 14/342)
by International Monetary Fund. Middle East and Central Asia Dept.A report from the International Monetary Fund.
The Algorithm: How AI Decides Who Gets Hired, Monitored, Promoted, and Fired and Why We Need to Fight Back Now
by Hilke SchellmannBased on exclusive information from whistleblowers, internal documents, and real world test results, Emmy‑award winning Wall Street Journal contributor Hilke Schellmann delivers a shocking and illuminating expose on the next civil rights issue of our time: how AI has already taken over the workplace and shapes our future. Hilke Schellmann, is an Emmy‑award winning investigative reporter, Wall Street Journal and Guardian contributor and Journalism Professor at NYU. In The Algorithm, she investigates the rise of artificial intelligence (AI) in the world of work. AI is now being used to decide who has access to an education, who gets hired, who gets fired, and who receives a promotion. Drawing on exclusive information from whistleblowers, internal documents and real‑world tests, Schellmann discovers that many of the algorithms making high‑stakes decisions are biased, racist, and do more harm than good. Algorithms are on the brink of dominating our lives and threaten our human future—if we don't fight back. Schellmann takes readers on a journalistic detective story testing algorithms that have secretly analyzed job candidates' facial expressions and tone of voice. She investigates algorithms that scan our online activity including Twitter and LinkedIn to construct personality profiles à la Cambridge Analytica. Her reporting reveals how employers track the location of their employees, the keystrokes they make, access everything on their screens and, during meetings, analyze group discussions to diagnose problems in a team. Even universities are now using predictive analytics for admission offers and financial aid.
Aligning the Energy Transition with the Sustainable Development Goals: Key Insights from Energy System Modelling (Lecture Notes in Energy #101)
by George Giannakidis Maryse Labriet Brian Ó Gallachóir Kari EspegrenThis open access book brings together concrete analyses from around the world, spanning various scales, that shed light on strategies for implementing essential energy and climate transitions within the broader context of UN Sustainable Development Goal (SDG) imperatives. Specifically, the book exemplifies the advancement, adaptation, and utilization of energy systems models to address intricate policy issues around pathways to achieve net-zero emissions, enhance energy security, optimize investments, and understand their societal implications. It explores the intricate connections between the SDGs concerning energy, climate action, and other developmental priorities such as employment and economic growth, industrial innovation, urban development, responsible consumption and production, and collaborative partnerships. Organized into four sections, the book illustrates the necessary adjustments of energy system models to guide SDGs, evaluates the role of modeling to advance both renewable energy and energy security, and showcases how energy systems are harnessed to engage with international, national, and local policymakers.
Aliveness Mindset: Lead and Live with More Passion, Purpose, and Joy
by Jack CravenJack Craven&’s Aliveness Mindset is an invitation for anyone feeling stuck to awaken to a life of renewed passion, greater purpose, and authentic joy.When did you last feel truly alive? What if you could experience that feeling not just once in a while but every single day? That is the promise and goal of an Aliveness Mindset. You are fully capable of bringing the best, most vibrantly alive version of yourself into the world day after day. Aliveness is already within you, but you have to define it and find it, guard it and grow it. It must be discovered because you are unique and so is your experience of aliveness. In Aliveness Mindset, executive coach Jack Craven shares the principles and strategies he has used to lead countless CEOs and high-level business leaders into a more fulfilling, authentic life. His practices are not a series of impersonal steps or a formula to blindly follow but rather an organic process of self-understanding and personal growth. In Aliveness Mindset, you will: 1. Create your own Aliveness Mindset. 2. Learn the simple yet powerful components of the Circle of Aliveness. 3. Discover the unique way you experience aliveness and how to remain in this &“Optimal State&” despite the ups and downs of life. 4. Understand the seven components of an Aliveness Mindset and how they work together to power your aliveness journey. 5. Receive practical, proven strategies to restore and expand your experience of aliveness.