abdelkader mohamed sghaier derbali (113 Ergebnisse)

Paperback. Zustand: new. Paperback. Artificial intelligence (AI) has become a transformative influence in the domains of economics and business administration, fundamentally altering the operational strategies and decision-making processes of organizations. AI models can be harnessed to scrutinize market trends, consumer behavior, and macroeconomic indicators, assisting policymakers, investors, and corporations in making well-informed decisions. In business administration, AI assumes a critical function in the optimization of operations and the enhancement of productivity. AI algorithms can streamline the management of supply chains, regulate inventory, and predict demand, culminating in cost reductions and heightened customer contentment. The integration of AI in economics and business management also gives rise to ethical dilemmas, privacy issues, and potential biases, necessitating further research into equitable and responsible AI applications. AI, Economic Perspectives, and Firm Business Management explores the integration of AI technology into economics and business management and operations. It examines the challenges associated with AI, including ethics, bias, and data privacy, and offers solutions for effective intelligent technology usage. This book covers topics such as artificial intelligence, cryptocurrency, and market activity, and is a useful resource for business owners, economists, computer engineers, academicians, data scientists, and researchers. "This book provides a study agenda on the elements of AI, Economic Perspectives, and Firm Business Management"-- Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Zustand: New. In.

Zustand: New.

Zustand: New. In.

Zustand: As New. Unread book in perfect condition.

Zustand: New.

Paperback. Zustand: new. Paperback. AI methods are harnessed for environmental protection and resource conservation, offering innovative solutions to some of the world s most pressing ecological challenges. From monitoring biodiversity and predicting climate change impacts to optimizing energy consumption and managing waste, AI enables more efficient, data-driven decision-making. Machine learning algorithms analyze large datasets from satellite imagery, sensors, and environmental models to detect deforestation, pollution levels, and the health of ecosystems. AI-powered systems can improve resource management by forecasting demand and consumption patterns, enhancing the sustainability of water, energy, and agricultural systems. By automating processes, identifying trends, and proposing actionable insights, AI may empower governments, organizations, and individuals to implement more effective conservation strategies. AI Methods for Environmental Protection and Resource Conservation explores the role of intelligent technology in environmental science. It examines how artificial intelligence assists in conservation, deforestation monitoring, weather forecasting, CO2 removal, and sustainable transportation. This book covers topics such as big data, energy engineering, and sustainable development, and is a useful resource for engineers, business owners, academicians, researchers, and environmental scientists. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Zustand: New.

Hardcover. Zustand: new. Hardcover. AI methods are harnessed for environmental protection and resource conservation, offering innovative solutions to some of the world s most pressing ecological challenges. From monitoring biodiversity and predicting climate change impacts to optimizing energy consumption and managing waste, AI enables more efficient, data-driven decision-making. Machine learning algorithms analyze large datasets from satellite imagery, sensors, and environmental models to detect deforestation, pollution levels, and the health of ecosystems. AI-powered systems can improve resource management by forecasting demand and consumption patterns, enhancing the sustainability of water, energy, and agricultural systems. By automating processes, identifying trends, and proposing actionable insights, AI may empower governments, organizations, and individuals to implement more effective conservation strategies. AI Methods for Environmental Protection and Resource Conservation explores the role of intelligent technology in environmental science. It examines how artificial intelligence assists in conservation, deforestation monitoring, weather forecasting, CO2 removal, and sustainable transportation. This book covers topics such as big data, energy engineering, and sustainable development, and is a useful resource for engineers, business owners, academicians, researchers, and environmental scientists. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Zustand: As New. Unread book in perfect condition.

Paperback. Zustand: new. Paperback. Artificial intelligence (AI) has become a transformative influence in the domains of economics and business administration, fundamentally altering the operational strategies and decision-making processes of organizations. AI models can be harnessed to scrutinize market trends, consumer behavior, and macroeconomic indicators, assisting policymakers, investors, and corporations in making well-informed decisions. In business administration, AI assumes a critical function in the optimization of operations and the enhancement of productivity. AI algorithms can streamline the management of supply chains, regulate inventory, and predict demand, culminating in cost reductions and heightened customer contentment. The integration of AI in economics and business management also gives rise to ethical dilemmas, privacy issues, and potential biases, necessitating further research into equitable and responsible AI applications. AI, Economic Perspectives, and Firm Business Management explores the integration of AI technology into economics and business management and operations. It examines the challenges associated with AI, including ethics, bias, and data privacy, and offers solutions for effective intelligent technology usage. This book covers topics such as artificial intelligence, cryptocurrency, and market activity, and is a useful resource for business owners, economists, computer engineers, academicians, data scientists, and researchers. "This book provides a study agenda on the elements of AI, Economic Perspectives, and Firm Business Management"-- Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Zustand: new. Hardcover. Artificial intelligence (AI) has become a transformative influence in the domains of economics and business administration, fundamentally altering the operational strategies and decision-making processes of organizations. AI models can be harnessed to scrutinize market trends, consumer behavior, and macroeconomic indicators, assisting policymakers, investors, and corporations in making well-informed decisions. In business administration, AI assumes a critical function in the optimization of operations and the enhancement of productivity. AI algorithms can streamline the management of supply chains, regulate inventory, and predict demand, culminating in cost reductions and heightened customer contentment. The integration of AI in economics and business management also gives rise to ethical dilemmas, privacy issues, and potential biases, necessitating further research into equitable and responsible AI applications. AI, Economic Perspectives, and Firm Business Management explores the integration of AI technology into economics and business management and operations. It examines the challenges associated with AI, including ethics, bias, and data privacy, and offers solutions for effective intelligent technology usage. This book covers topics such as artificial intelligence, cryptocurrency, and market activity, and is a useful resource for business owners, economists, computer engineers, academicians, data scientists, and researchers. "This book provides a study agenda on the elements of AI, Economic Perspectives, and Firm Business Management"-- Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Zustand: new. Hardcover. Understanding and mitigating the impacts of flood hazards and wetland changes requires precise, data-driven approaches, making geostatistics a critical tool in environmental analysis. By applying spatial statistical techniques to hydrological, topographical, and climatic datasets, researchers can generate detailed, high-resolution maps that identify flood-prone areas and monitor wetland dynamics. This information enhances predictive modeling of flood events and supports sustainable land-use planning and ecosystem conservation. As climate change increases the frequency and intensity of extreme weather, geostatistical methods may help better assess vulnerability, inform policy, and guide adaptive strategies for at-risk communities and habitats. Geostatistical Insights on Mapping Flood Hazards and Wetland Dynamics examines the use of geostatistics in flood risk mitigation techniques. It explores how various intelligent technologies assist in geographical mapping for areas affected by shifting climates and hazardous weather patterns. This book covers topics such as geomorphology, risk mitigation, and climatology, and is a useful resource for engineers, climatologists, geologists, conservationists, academicians, researchers, and environmental scientists. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Zustand: New. In.

Paperback. Zustand: new. Paperback. Understanding and mitigating the impacts of flood hazards and wetland changes requires precise, data-driven approaches, making geostatistics a critical tool in environmental analysis. By applying spatial statistical techniques to hydrological, topographical, and climatic datasets, researchers can generate detailed, high-resolution maps that identify flood-prone areas and monitor wetland dynamics. This information enhances predictive modeling of flood events and supports sustainable land-use planning and ecosystem conservation. As climate change increases the frequency and intensity of extreme weather, geostatistical methods may help better assess vulnerability, inform policy, and guide adaptive strategies for at-risk communities and habitats. Geostatistical Insights on Mapping Flood Hazards and Wetland Dynamics examines the use of geostatistics in flood risk mitigation techniques. It explores how various intelligent technologies assist in geographical mapping for areas affected by shifting climates and hazardous weather patterns. This book covers topics such as geomorphology, risk mitigation, and climatology, and is a useful resource for engineers, climatologists, geologists, conservationists, academicians, researchers, and environmental scientists. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Zustand: As New. Unread book in perfect condition.

Paperback. Zustand: new. Paperback. In today's rapidly evolving business landscape, organizations are constantly faced with the challenge of staying competitive and adapting to change. To thrive in this dynamic environment, it is crucial for organizations to develop the capability to learn, unlearn, and relearn effectively. Absorptive capacity, the ability to acquire, assimilate, and apply external knowledge, plays a vital role in fostering innovation, agility, and competitive advantage. By tapping into external sources of knowledge, organizations can leverage new insights, technologies, and best practices to fuel their growth and development. However, absorptive capacity alone is not enough. Organizations must also cultivate the willingness and ability to unlearn outdated knowledge, assumptions, and practices that may hinder progress. Unleashing Absorptive Capacity and Unlearning for Organizational Excellence delves into the interconnected dynamics of absorptive capacity and unlearning within organizational contexts. It emphasizes how absorptive capacity and unlearning can mutually reinforce and amplify each other, creating a positive feedback loop. Covering topics such as continuous improvement, learning cultures, and organizational adaptability, this book empowers leaders, managers, human resources professionals, researchers, academicians, educators, postgraduate students, and more with the knowledge and tools necessary to foster a culture of continuous learning, ultimately contributing to organizational excellence. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Zustand: New. In.

Zustand: New. In.

Paperback. Zustand: new. Paperback. AI methods are harnessed for environmental protection and resource conservation, offering innovative solutions to some of the world s most pressing ecological challenges. From monitoring biodiversity and predicting climate change impacts to optimizing energy consumption and managing waste, AI enables more efficient, data-driven decision-making. Machine learning algorithms analyze large datasets from satellite imagery, sensors, and environmental models to detect deforestation, pollution levels, and the health of ecosystems. AI-powered systems can improve resource management by forecasting demand and consumption patterns, enhancing the sustainability of water, energy, and agricultural systems. By automating processes, identifying trends, and proposing actionable insights, AI may empower governments, organizations, and individuals to implement more effective conservation strategies. AI Methods for Environmental Protection and Resource Conservation explores the role of intelligent technology in environmental science. It examines how artificial intelligence assists in conservation, deforestation monitoring, weather forecasting, CO2 removal, and sustainable transportation. This book covers topics such as big data, energy engineering, and sustainable development, and is a useful resource for engineers, business owners, academicians, researchers, and environmental scientists. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Hardcover. Zustand: new. Hardcover. AI methods are harnessed for environmental protection and resource conservation, offering innovative solutions to some of the world s most pressing ecological challenges. From monitoring biodiversity and predicting climate change impacts to optimizing energy consumption and managing waste, AI enables more efficient, data-driven decision-making. Machine learning algorithms analyze large datasets from satellite imagery, sensors, and environmental models to detect deforestation, pollution levels, and the health of ecosystems. AI-powered systems can improve resource management by forecasting demand and consumption patterns, enhancing the sustainability of water, energy, and agricultural systems. By automating processes, identifying trends, and proposing actionable insights, AI may empower governments, organizations, and individuals to implement more effective conservation strategies. AI Methods for Environmental Protection and Resource Conservation explores the role of intelligent technology in environmental science. It examines how artificial intelligence assists in conservation, deforestation monitoring, weather forecasting, CO2 removal, and sustainable transportation. This book covers topics such as big data, energy engineering, and sustainable development, and is a useful resource for engineers, business owners, academicians, researchers, and environmental scientists. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Zustand: New. In.

Paperback. Zustand: new. Paperback. Artificial intelligence (AI) has become a transformative influence in the domains of economics and business administration, fundamentally altering the operational strategies and decision-making processes of organizations. AI models can be harnessed to scrutinize market trends, consumer behavior, and macroeconomic indicators, assisting policymakers, investors, and corporations in making well-informed decisions. In business administration, AI assumes a critical function in the optimization of operations and the enhancement of productivity. AI algorithms can streamline the management of supply chains, regulate inventory, and predict demand, culminating in cost reductions and heightened customer contentment. The integration of AI in economics and business management also gives rise to ethical dilemmas, privacy issues, and potential biases, necessitating further research into equitable and responsible AI applications. AI, Economic Perspectives, and Firm Business Management explores the integration of AI technology into economics and business management and operations. It examines the challenges associated with AI, including ethics, bias, and data privacy, and offers solutions for effective intelligent technology usage. This book covers topics such as artificial intelligence, cryptocurrency, and market activity, and is a useful resource for business owners, economists, computer engineers, academicians, data scientists, and researchers. "This book provides a study agenda on the elements of AI, Economic Perspectives, and Firm Business Management"-- Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Hardcover. Zustand: new. Hardcover. Artificial intelligence (AI) has become a transformative influence in the domains of economics and business administration, fundamentally altering the operational strategies and decision-making processes of organizations. AI models can be harnessed to scrutinize market trends, consumer behavior, and macroeconomic indicators, assisting policymakers, investors, and corporations in making well-informed decisions. In business administration, AI assumes a critical function in the optimization of operations and the enhancement of productivity. AI algorithms can streamline the management of supply chains, regulate inventory, and predict demand, culminating in cost reductions and heightened customer contentment. The integration of AI in economics and business management also gives rise to ethical dilemmas, privacy issues, and potential biases, necessitating further research into equitable and responsible AI applications. AI, Economic Perspectives, and Firm Business Management explores the integration of AI technology into economics and business management and operations. It examines the challenges associated with AI, including ethics, bias, and data privacy, and offers solutions for effective intelligent technology usage. This book covers topics such as artificial intelligence, cryptocurrency, and market activity, and is a useful resource for business owners, economists, computer engineers, academicians, data scientists, and researchers. "This book provides a study agenda on the elements of AI, Economic Perspectives, and Firm Business Management"-- Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Zustand: new. Hardcover. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Zustand: New. In.

Zustand: New.

Paperback. Zustand: new. Paperback. The revolution of artificial intelligence (AI) impacts various business sectors, including accounting and finance. Machine intelligence is on the rise in human interaction, as novel technologies automate tasks and enhance human capabilities at an increasingly rapid rate. While AI has the potential to assist in the identification and management of risks, such as in financial risk measurement, analysis, and management, the disruptive nature of these emerging technologies introduces new and complex scenarios. Utilizing these technologies to facilitate decision-making processes could result in biased, inequitable, and unreliable decisions, giving rise to concerns regarding data, privacy, and security. Further research is necessary to understand the implications of AI in financial practices. Artificial Intelligence for Financial Risk Management and Analysis delves into the most recent advancements in AI technologies that facilitate risk analysis and decision-making. It examines the potential risks these technologies pose to individuals, businesses, and establishments. Covering topics such as firm management, automation, and long short-term memory (LSTM) networks, this book is an excellent resource for financial advisors, banking professionals, computer scientists, professionals, researchers, academicians, and more. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.