Nripendra Singh – författare

The increasing prominence of generative AI across various industries presents an abundance of opportunities for integration within the healthcare sector. From generating valuable insights about patients to automating operations, streamlining patient care, and implementing preventive technologies, the use of generative AI has the potential to usher in a new era of productivity and profitability for stakeholders within the healthcare ecosystem.

Revolutionizing Healthcare Services: Unleashing Innovation through Generative AI explores the current and potential applications of generative AI in the healthcare sector. It covers regulatory frameworks, ethical considerations, practical applications, and real-world use cases. The book also provides a forward-looking perspective to help the healthcare industry keep pace with the integration of generative AI and its applications. In addition, it looks at the future potential of generative AI in conjunction with blockchain, machine learning, and predictive modeling to create electronic health records that can be shared across the healthcare ecosystem. By examining the detailed insights on how to integrate generative AI models with existing healthcare systems, the potential to enhance patient care services can be brought to the forefront. Practical strategies are also discussed to seamlessly integrate generative AI into healthcare services, ensuring prompt, reliable, and efficient care while prioritizing urgent needs.

This book aims to equip healthcare professionals with the knowledge and tools needed to leverage generative AI for superior patient care delivery. It is designed to appeal to a wide range of audiences, including healthcare professionals, generative AI developers, data scientists, healthcare practitioners, patients, educators, policymakers, and those with the knowledge and tools needed to leverage generative AI for superior patient care delivery. The coverage, diverse perspective, and practical approach make it suitable for both beginners looking for an introduction to generative AI and experienced experts.

The increasing prominence of generative AI across various industries presents an abundance of opportunities for integration within the healthcare sector. From generating valuable insights about patients to automating operations, streamlining patient care, and implementing preventive technologies, the use of generative AI has the potential to usher in a new era of productivity and profitability for stakeholders within the healthcare ecosystem.

Revolutionizing Healthcare Services: Unleashing Innovation through Generative AI explores the current and potential applications of generative AI in the healthcare sector. It covers regulatory frameworks, ethical considerations, practical applications, and real-world use cases. The book also provides a forward-looking perspective to help the healthcare industry keep pace with the integration of generative AI and its applications. In addition, it looks at the future potential of generative AI in conjunction with blockchain, machine learning, and predictive modeling to create electronic health records that can be shared across the healthcare ecosystem. By examining the detailed insights on how to integrate generative AI models with existing healthcare systems, the potential to enhance patient care services can be brought to the forefront. Practical strategies are also discussed to seamlessly integrate generative AI into healthcare services, ensuring prompt, reliable, and efficient care while prioritizing urgent needs.

This book aims to equip healthcare professionals with the knowledge and tools needed to leverage generative AI for superior patient care delivery. It is designed to appeal to a wide range of audiences, including healthcare professionals, generative AI developers, data scientists, healthcare practitioners, patients, educators, policymakers, and those with the knowledge and tools needed to leverage generative AI for superior patient care delivery. The coverage, diverse perspective, and practical approach make it suitable for both beginners looking for an introduction to generative AI and experienced experts.

Customers are now highly influenced by digital marketing and ease of purchase, level of service, technological security, and returns processes. Electronic word of mouth (eWOM) has become the biggest persuader of consumer retention and attracting new customers, with websites frequently judged by their simplicity.

For any business it has become imperative to understand the various factors which influence the customers to purchase through digital modes, and the authors undertake a thorough analysis of these factors in Digital Influence on Consumer Habits. The chapters look at Artificial Intelligence, trend setting and the impact of social media, the effect of the COVID-19 pandemic on various sectors, and much more.

Readers will learn service quality, peer pressure, online reviewers’ effect in the digital environment to aid in understanding the various risks and challenges involved in the digital environment, with examples of changing business and consumer scenario case studies as a result of Digital Transformation.

Customers are now highly influenced by digital marketing and ease of purchase, level of service, technological security, and returns processes. Electronic word of mouth (eWOM) has become the biggest persuader of consumer retention and attracting new customers, with websites frequently judged by their simplicity.

For any business it has become imperative to understand the various factors which influence the customers to purchase through digital modes, and the authors undertake a thorough analysis of these factors in Digital Influence on Consumer Habits. The chapters look at Artificial Intelligence, trend setting and the impact of social media, the effect of the COVID-19 pandemic on various sectors, and much more.

Readers will learn service quality, peer pressure, online reviewers’ effect in the digital environment to aid in understanding the various risks and challenges involved in the digital environment, with examples of changing business and consumer scenario case studies as a result of Digital Transformation.

Rapid digitalisation and social media use has led to the evolution of customer behaviour and for any business it has become imperative to understand customer behaviour in the digital world – the chapter authors in Navigating the Digital Landscape explore a wide range of topics to help the reader harness the positive aspects of digital commerce and mitigate risks.

The chapters look at artificial Intelligence and augmented reality, trend setting and the impact of social media, the effect of the COVID-19 pandemic on various sectors, and much more.

Readers will learn service quality, peer pressure, online reviewers’ effect in the digital environment to aid in understanding the various risks and challenges involved in the digital environment, with examples of changing business and consumer scenario case studies as a result of Digital Transformation.

Rapid digitalisation and social media use has led to the evolution of customer behaviour and for any business it has become imperative to understand customer behaviour in the digital world – the chapter authors in Navigating the Digital Landscape explore a wide range of topics to help the reader harness the positive aspects of digital commerce and mitigate risks.

The chapters look at artificial Intelligence and augmented reality, trend setting and the impact of social media, the effect of the COVID-19 pandemic on various sectors, and much more.

Readers will learn service quality, peer pressure, online reviewers’ effect in the digital environment to aid in understanding the various risks and challenges involved in the digital environment, with examples of changing business and consumer scenario case studies as a result of Digital Transformation.

The rapid rise of generative intelligence is apparent from its adoption prospects across industrial sectors. Business leaders are prioritizing applications of Generative Intelligence although the challenges related to this technology adoption also need to be addressed in detail. Navigating Data Science: Unleashing the Creative Potential of Artificial Intelligence can offer significant contributions in the field of generative intelligence in the context of data science and help stakeholders formulate strategies to tackle its adoption, implementation, and control challenges.

The research presented here delves into the combined capability of DS and AI with specific reference to real-world business scenarios. From analysing the use of New Age innovations in marketing to science and Technology and the Healthcare sector, the authors contributed to enhance the body of knowledge in the field of DS and AI. The ethical considerations of using AI tools in education, academic research, and Gig workers have also been dealt with in detail in the book. The impact of technology in moulding the overall well-being of employees within the specific framework of their work-life has been discussed by the authors as a key issue to be considered by organizations today.

Advances in Digital Technology and Data-Driven Business Practices examines the possibilities, challenges and ethics of a range of technologies applied in business, including: Metaverse, Marketing Automation, Search Engine Optimization (SEO), Search Engine Marketing (SEM), Social Media Marketing, Content Marketing, Analytics and Data Analysis, Augmented Reality (AR) and Virtual Reality (VR), Chatbots and Artificial Intelligence (AI). Adopting and adapting to these technologies is essential for staying competitive and effectively reaching target audiences.

The rapid rise of generative intelligence is apparent from its adoption prospects across industrial sectors. Business leaders are prioritizing applications of Generative Intelligence although the challenges related to this technology adoption also need to be addressed in detail. Navigating Data Science: Unleashing the Creative Potential of Artificial Intelligence can offer significant contributions in the field of generative intelligence in the context of data science and help stakeholders formulate strategies to tackle its adoption, implementation, and control challenges.

The research presented here delves into the combined capability of DS and AI with specific reference to real-world business scenarios. From analysing the use of New Age innovations in marketing to science and Technology and the Healthcare sector, the authors contributed to enhance the body of knowledge in the field of DS and AI. The ethical considerations of using AI tools in education, academic research, and Gig workers have also been dealt with in detail in the book. The impact of technology in moulding the overall well-being of employees within the specific framework of their work-life has been discussed by the authors as a key issue to be considered by organizations today.

Advances in Digital Technology and Data-Driven Business Practices examines the possibilities, challenges and ethics of a range of technologies applied in business, including: Metaverse, Marketing Automation, Search Engine Optimization (SEO), Search Engine Marketing (SEM), Social Media Marketing, Content Marketing, Analytics and Data Analysis, Augmented Reality (AR) and Virtual Reality (VR), Chatbots and Artificial Intelligence (AI). Adopting and adapting to these technologies is essential for staying competitive and effectively reaching target audiences.

The rapid rise of generative intelligence is apparent from its adoption prospects across industrial sectors. Business leaders are prioritizing applications of Generative Intelligence although the challenges related to this technology adoption also need to be addressed in detail. Navigating Data Science in the Age of AI: Exploring Possibilities of Generative Intelligence can offer significant contributions in the field of generative intelligence in the context of data science and help stakeholders formulate strategies to tackle its adoption, implementation, and control challenges.

This volume takes a comprehensive view of the application of AI in the area of data science and how technology is transforming businesses in a range of industries. From FinTech to the use of chatbots to decision making to banking, the potentials as well as challenges are wide and far-reaching. The research presents a diverse range of authors from around the globe, bringing their unique perspectives and expertise to the conversation.

Advances in Digital Technology and Data-Driven Business Practices examines the possibilities, challenges and ethics of a range of technologies applied in business, including: Metaverse, Marketing Automation, Search Engine Optimization (SEO), Search Engine Marketing (SEM), Social Media Marketing, Content Marketing, Analytics and Data Analysis, Augmented Reality (AR) and Virtual Reality (VR), Chatbots and Artificial Intelligence (AI). Adopting and adapting to these technologies is essential for staying competitive and effectively reaching target audiences.

The rapid rise of generative intelligence is apparent from its adoption prospects across industrial sectors. Business leaders are prioritizing applications of Generative Intelligence although the challenges related to this technology adoption also need to be addressed in detail. Navigating Data Science in the Age of AI: Exploring Possibilities of Generative Intelligence can offer significant contributions in the field of generative intelligence in the context of data science and help stakeholders formulate strategies to tackle its adoption, implementation, and control challenges.

This volume takes a comprehensive view of the application of AI in the area of data science and how technology is transforming businesses in a range of industries. From FinTech to the use of chatbots to decision making to banking, the potentials as well as challenges are wide and far-reaching. The research presents a diverse range of authors from around the globe, bringing their unique perspectives and expertise to the conversation.

Advances in Digital Technology and Data-Driven Business Practices examines the possibilities, challenges and ethics of a range of technologies applied in business, including: Metaverse, Marketing Automation, Search Engine Optimization (SEO), Search Engine Marketing (SEM), Social Media Marketing, Content Marketing, Analytics and Data Analysis, Augmented Reality (AR) and Virtual Reality (VR), Chatbots and Artificial Intelligence (AI). Adopting and adapting to these technologies is essential for staying competitive and effectively reaching target audiences.