Generative Artificial Intelligence in Business - Strategies for Digital Transformation (eBook, ePUB)
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The book "Generative Artificial Intelligence in Business: Strategies for Digital Transformation" offers a comprehensive and practical vision of how Generative Artificial Intelligence (GAI) is revolutionizing the business world. Throughout nine chapters, the author explores the fundamentals of GAI, its applications in various sectors, implementation strategies, and associated ethical and practical challenges.The text begins with an introduction to the basic concepts of GAI and its evolution, then delves into how it is transforming business processes in industries such as finance, retail, manufa...
The book "Generative Artificial Intelligence in Business: Strategies for Digital Transformation" offers a comprehensive and practical vision of how Generative Artificial Intelligence (GAI) is revolutionizing the business world. Throughout nine chapters, the author explores the fundamentals of GAI, its applications in various sectors, implementation strategies, and associated ethical and practical challenges.
The text begins with an introduction to the basic concepts of GAI and its evolution, then delves into how it is transforming business processes in industries such as finance, retail, manufacturing, and healthcare. Real case studies are presented that illustrate the impact of GAI on operations optimization, customer experience personalization, and product innovation.
A notable aspect of the book is its focus on practical implementation. It offers step-by-step guides for assessing organizational readiness, developing GAI strategies, and managing associated change. It also addresses critical topics such as ethics in AI use, data privacy, and managing algorithmic biases.
The author not only focuses on large corporations but also provides valuable insights for startups and SMEs, offering recommendations on how they can leverage GAI with limited resources.
The work concludes with a look towards the future, exploring emerging trends such as the convergence of GAI with other technologies like IoT and blockchain, and how companies can prepare for an increasingly AI-driven world.
The book includes useful appendices with a glossary of terms, additional resources, and practical templates for GAI implementation. It is essential reading for executives, entrepreneurs, and professionals seeking to understand and harness the potential of GAI in their organizations.
About the author:
Moisés Urbina is an experienced professional with over two decades of experience in various sectors. As an economist by training, with a master's degree in business administration and specializations in Strategic Planning, Risk Management, Corporate Finance, Econometrics, and Generative Artificial Intelligence, Urbina brings a unique perspective to the intersection of technology and business.
His career spans roles in the public sector, where he worked as an official and head at SUNAT for 12 years, and in academia as a university professor for 13 years at prestigious institutions. In the private sector, he has held leadership positions as administration and finance manager, and general manager in companies in the mining, metalworking, and insurance sectors.
Currently, Urbina is the general manager of URBINA ASESORIA E INVERSIONES SAC, where he continues to explore and apply AI innovations to drive business growth and efficiency. His combination of practical experience, academic knowledge, and passion for technology positions him as an authoritative voice in the field of digital transformation and the application of GAI in the business environment.
The text begins with an introduction to the basic concepts of GAI and its evolution, then delves into how it is transforming business processes in industries such as finance, retail, manufacturing, and healthcare. Real case studies are presented that illustrate the impact of GAI on operations optimization, customer experience personalization, and product innovation.
A notable aspect of the book is its focus on practical implementation. It offers step-by-step guides for assessing organizational readiness, developing GAI strategies, and managing associated change. It also addresses critical topics such as ethics in AI use, data privacy, and managing algorithmic biases.
The author not only focuses on large corporations but also provides valuable insights for startups and SMEs, offering recommendations on how they can leverage GAI with limited resources.
The work concludes with a look towards the future, exploring emerging trends such as the convergence of GAI with other technologies like IoT and blockchain, and how companies can prepare for an increasingly AI-driven world.
The book includes useful appendices with a glossary of terms, additional resources, and practical templates for GAI implementation. It is essential reading for executives, entrepreneurs, and professionals seeking to understand and harness the potential of GAI in their organizations.
About the author:
Moisés Urbina is an experienced professional with over two decades of experience in various sectors. As an economist by training, with a master's degree in business administration and specializations in Strategic Planning, Risk Management, Corporate Finance, Econometrics, and Generative Artificial Intelligence, Urbina brings a unique perspective to the intersection of technology and business.
His career spans roles in the public sector, where he worked as an official and head at SUNAT for 12 years, and in academia as a university professor for 13 years at prestigious institutions. In the private sector, he has held leadership positions as administration and finance manager, and general manager in companies in the mining, metalworking, and insurance sectors.
Currently, Urbina is the general manager of URBINA ASESORIA E INVERSIONES SAC, where he continues to explore and apply AI innovations to drive business growth and efficiency. His combination of practical experience, academic knowledge, and passion for technology positions him as an authoritative voice in the field of digital transformation and the application of GAI in the business environment.
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