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Full Description
This book explains how cutting-edge AI tools, such as chatbots and predictive systems, are transforming our approach to work and problem-solving. It simplifies how businesses and individuals can utilize these technologies to enhance decision-making, increase productivity, and respond to fresh challenges. By using real-life scenarios and useful advice, the book illustrates how AI can assist individuals in acquiring new abilities, staying up to date in their careers, and generating chances for advancement, all while upholding fairness, ethics, and inclusivity in the work environment.
It delves into the major impact of large language models (LLMs) on workforce dynamics and industry transformation. It assesses the impact of advanced AI systems such as GPT on running processes, decision-making, and required skills in fields like healthcare, marketing, education, and insurance. This book is a valuable resource for industry leaders as it brings together LLMs with practical applications that provide insight into how AI tools can drive innovation and agility in today's businesses.
This book explores practical approaches to integrating LLMs into professional training programs while overcoming the obstacles posed by rapid technological change. It provides in-depth insights into how companies can use LLMs to streamline regular tasks, increase efficiency, and facilitate strategic decision-making. The research also highlights strategies for training, reskilling, and upskilling employees using AI, to make sure they can work efficiently with AI systems. Through case studies and examples, the book shows how these models can be used to drive innovation and support ethical, sustainable business practices.
Contents
Chapter 1: Introduction to Large Language Models and Workforce Dynamics Chapter 2: The Rise of Generative AI: Opportunities and Challenges Chapter 3: Reimagining the Future of Work: Building Workforce 5.0 Capabilities for Human-Tech Synergy in the Next Digital Wave Chapter 4 : Building a Resilient Workforce in the AI Era Chapter 5: Ethical Considerations in Workforce Transformations Chapter 6: Bridging the Skills Gap with Al-Driven Training Chapter 7: Generative AI and Leadership Development: Transforming the Future of Learning and Coaching Chapter 8: From Vulnerability to Vitality: AI for Workforce Retention and Skills Enhancement in SHGs Chapter 9: LLM Applications in Marketing and Consumer Engagement Chapter 10: AI-Powered Healthcare - Enhancing Patient Outcomes Chapter 11: Exploring Deep Learning Model Optimization Strategies for Pancreatic Cancer Detection and Classification Chapter 12: Integrating Generative AI and Learning Technologies to Redefine Insurance Risk Assessment and Training Chapter 13: The Impact of Industry 4.0 on the Overall Equipment Effectiveness and Total Productive Maintenance: A case study in the Pharmaceutical Industry Chapter 14: The Role of Al in Remote Work and Collaboration Chapter 15: A Transformer-Based AI Model for Early Prediction of Sepsis from Multimodal Electronic Health Records Chapter 16:Strategic Roadmap for Implementing LLMs in Organizations.
