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Trusted Generative AI and Large Language
Models for Health Informatics

Trusted Generative AI and Large Language Models for Health Informatics

Sustainable Computing and Optimization

Trends and Future Challenges

Managing Sustainable Operations of Logistics and Supply Chain Management

Concepts, Models, and Applications

Learning-Driven Game Theory for AI

This book analyses Artificial Intelligence (AI) and its impact on sustainability, ethics, security, and society. It provides actionable strategies for eco-friendly AI, navigating legal frameworks, and implementing ethical practices. It examines security challenges from AI misuse, outlining necessary cybersecurity enhancements. Real-world case studies bridge theory and practice. Guidance is provided for aligning AI adoption with societal and environmental goals, promoting responsible AI development for a sustainable future. This comprehensive study of AI begins by looking at AI's role in environmental sustainability, providing actionable strategies for eco-friendly AI development and deployment. This includes understanding the complex relationship between AI and the environment to minimize its footprint and promote AI solutions that contribute to environmental goals. The authors extend into insightful discussion on navigating the intricate legal frameworks and implementing ethical AI practices. This guidance reduces the risk of legal challenges and reputational damage, leading to increased trust and responsible AI development and use. Bridging the gap between theory and practice is another important feature in this book. With real-world case studies, the reader gains practical understanding of how AI is being used in different contexts. This further enhances the accelerated adoption and increased innovation of AI solutions in different fields. This book provides a clear roadmap for responsible and sustainable AI integration, aligning AI initiatives with broader societal objectives.The primary audience for this book includes business leaders, professionals, policymakers, technologists and AI practitioners.

The Blueprint for AI Adoption and Societal Transformation

Tech Today

Add to your Excel toolkit by learning to implement advanced AI and automation techniques for data analysis As technology evolves all around us, professionals must keep learning new skills just to keep up with the heightened expectations of our leaders. That's especially true when it comes to artificial intelligence-related advancements in the field of data analysis. In Excel Power Tools: Unlocking the Power of AI, Python, and Power Automate, veteran analytics educator George Mount delivers a practical guide for everyday Excel users seeking to leverage the software's advanced features to import, clean, and analyze data. You'll learn to automate your data analysis and discover how to use power user features like pattern recognition, forecasting, and fuzzy matching. You'll: Develop a solid understanding of how to integrate AI into your work without radically changing the tools you use every dayLearn to use Python to automate routine data tasks and become more productive and efficientFind real-world examples of AI integration that illustrate the simple and accessible concepts discussed in the book Perfect for professionals in routine reporting roles, including accountants, data analysts, financial analysts, marketing coordinators, controllers, and operations analysts, Excel Power Tools is also a must-read for data science professionals and other technical experts who wish to unlock the full capabilities of Excel.

Trusted Generative AI and Large Language Models for Health Informatics

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