Convergence Of Ai Education And Business For Sustainability
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Convergence of AI, Education, and Business for Sustainability
The convergence of artificial intelligence (AI), education, and business presents an opportunity to drive sustainability across industries and societies. As the world faces complex environmental, social, and economic challenges, AI offers innovative solutions to optimize resource usage, streamline business operations, and enhance decision-making processes for sustainable outcomes. In education, AI enables personalized learning experiences, equipping future generations with the knowledge and skills needed to tackle sustainability challenges. Businesses adopt AI to innovate sustainable products and services, reduce carbon footprints, and create a circular economy. This intersection between AI, education, and business reshapes how sustainability is approached while creating a new framework for collaboration, where technology, learning, and commerce work in harmony to build a more sustainable and equitable future. Convergence of AI, Education, and Business for Sustainability explores successful, scalable, and replicable AI applications that contribute to sustainability goals. It bridges the gap between theoretical AI advancements and practical sustainability solutions, encouraging further innovation, investment, and interdisciplinary research in this critical area. This book covers topics such as environmental science, green business, and human resources, and is a useful resource for environmentalists, business owners, educators, academicians, computer engineers, data scientists, and researchers.
Achieving Sustainable Business Through AI, Technology Education and Computer Science
This book focuses on the symbiotic relationship between sustainable practices and cutting-edge AI technologies, offering insights into how businesses can thrive in a rapidly evolving landscape. This book discovers how AI is revolutionizing sustainability efforts, driving efficiency, and fostering a greener tomorrow. From smart energy management to ethical supply chain practices, this book is a guide for organizations looking to harness the power of AI for a sustainable future. Engaging, informative, and forward-thinking, this book is essential reading for leaders shaping the future of business.
Social Implications of Research in Higher Education
Traditional research assumes a singular, almost absolutist approach to knowledge. In contrast, critical theory challenges the positivist outlook on scientific research and assumes a more socio-cultural outlook on the social world. In specific terms, critical research examines the nature of power dynamics influencing the social world. More broadly, this has implications for understanding inequality and disparity across cleavages of race, gender, ethnicity, sexual orientation, and economic class, among other differences in identity. Furthermore, rather than simply acknowledging the subjective nature of the social world, critical research calls for fundamentally transforming perceptions and attitudes in a manner that views marginalized populations more equitably. Social Implications of Research in Higher Education examines the social implications of research confounded by culturally reinforced presumptions such as stereotypes and other biases that privilege those in power. It analyzes research aimed at benefiting marginalized or oppressed populations who lack the same opportunities and benefits that are otherwise granted to those in mainstream society. Covering topics such as service-learning, university-community engagement, and research translation, this book is an excellent resource for social justice advocates, sociologists, researchers, professionals, scholars, academicians, and more.