Adopting AI for Business Transformation: Complete guide to harness AI to stay competitive and future proof
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- FormatePub
- ISBN978-93-6589-012-9
- EAN9789365890129
- Date de parution26/11/2024
- Protection num.Adobe DRM
- Infos supplémentairesepub
- ÉditeurBPB Publications
Résumé
DESCRIPTION Adopting AI for Business Transformation offers a comprehensive guide for businesses ready to transition into AI and automation and transform their operations and ways of working. The book focuses on various industries providing practical insights and step-by-step guides for AI adoption and integration. Through real-world examples, expert insights, and case studies, the author shares his experience in product management, e-commerce, and digital platforms, presenting strategies for embracing AI and overcoming implementation challenges.
Learn the key principles of AI adoption, get guidance on generative AI and large language models, and how to best leverage their power with advanced prompt engineering, organizational structures, workforce education and upskilling, cloud-based business models, and ready-to-use AI frameworks that have successfully transformed traditional businesses into AI-driven, modern, efficient business models.
By the end of this book, you will understand how to adopt and integrate AI, empowering your team to leverage AI in your business operations, reducing the time spent on operational tasks, and unlocking new growth opportunities. By adopting the strategies in this book, you will reduce operational costs, improve efficiency, and future-proof your business. KEY FEATURES ? Introduction to AI concepts, types of AI, and real-world examples.? Overview of popular frameworks, strengths and weaknesses, and selection criteria.? Use cases of generative AI for innovation across diverse industries.
WHAT YOU WILL LEARN? Grasp how AI is revolutionizing business operations and driving innovation.? Understand AI adoption frameworks and learn how to choose the right one for your organization.? Explore AI applications in healthcare, finance, and manufacturing, from patient care to fraud detection.? Discover the role of AI in Web 3.0 and its intersection with blockchain.? Learn how AI enhances customer service, education, agriculture, and retail, transforming industry landscapes.
WHO THIS BOOK IS FORThis book is ideal for CXOs, decision-makers, entrepreneurs, business owners and leaders, consultants, and digital transformation advisors interested in the democratization of AI, generative AI, and large language models.
Learn the key principles of AI adoption, get guidance on generative AI and large language models, and how to best leverage their power with advanced prompt engineering, organizational structures, workforce education and upskilling, cloud-based business models, and ready-to-use AI frameworks that have successfully transformed traditional businesses into AI-driven, modern, efficient business models.
By the end of this book, you will understand how to adopt and integrate AI, empowering your team to leverage AI in your business operations, reducing the time spent on operational tasks, and unlocking new growth opportunities. By adopting the strategies in this book, you will reduce operational costs, improve efficiency, and future-proof your business. KEY FEATURES ? Introduction to AI concepts, types of AI, and real-world examples.? Overview of popular frameworks, strengths and weaknesses, and selection criteria.? Use cases of generative AI for innovation across diverse industries.
WHAT YOU WILL LEARN? Grasp how AI is revolutionizing business operations and driving innovation.? Understand AI adoption frameworks and learn how to choose the right one for your organization.? Explore AI applications in healthcare, finance, and manufacturing, from patient care to fraud detection.? Discover the role of AI in Web 3.0 and its intersection with blockchain.? Learn how AI enhances customer service, education, agriculture, and retail, transforming industry landscapes.
WHO THIS BOOK IS FORThis book is ideal for CXOs, decision-makers, entrepreneurs, business owners and leaders, consultants, and digital transformation advisors interested in the democratization of AI, generative AI, and large language models.
DESCRIPTION Adopting AI for Business Transformation offers a comprehensive guide for businesses ready to transition into AI and automation and transform their operations and ways of working. The book focuses on various industries providing practical insights and step-by-step guides for AI adoption and integration. Through real-world examples, expert insights, and case studies, the author shares his experience in product management, e-commerce, and digital platforms, presenting strategies for embracing AI and overcoming implementation challenges.
Learn the key principles of AI adoption, get guidance on generative AI and large language models, and how to best leverage their power with advanced prompt engineering, organizational structures, workforce education and upskilling, cloud-based business models, and ready-to-use AI frameworks that have successfully transformed traditional businesses into AI-driven, modern, efficient business models.
By the end of this book, you will understand how to adopt and integrate AI, empowering your team to leverage AI in your business operations, reducing the time spent on operational tasks, and unlocking new growth opportunities. By adopting the strategies in this book, you will reduce operational costs, improve efficiency, and future-proof your business. KEY FEATURES ? Introduction to AI concepts, types of AI, and real-world examples.? Overview of popular frameworks, strengths and weaknesses, and selection criteria.? Use cases of generative AI for innovation across diverse industries.
WHAT YOU WILL LEARN? Grasp how AI is revolutionizing business operations and driving innovation.? Understand AI adoption frameworks and learn how to choose the right one for your organization.? Explore AI applications in healthcare, finance, and manufacturing, from patient care to fraud detection.? Discover the role of AI in Web 3.0 and its intersection with blockchain.? Learn how AI enhances customer service, education, agriculture, and retail, transforming industry landscapes.
WHO THIS BOOK IS FORThis book is ideal for CXOs, decision-makers, entrepreneurs, business owners and leaders, consultants, and digital transformation advisors interested in the democratization of AI, generative AI, and large language models.
Learn the key principles of AI adoption, get guidance on generative AI and large language models, and how to best leverage their power with advanced prompt engineering, organizational structures, workforce education and upskilling, cloud-based business models, and ready-to-use AI frameworks that have successfully transformed traditional businesses into AI-driven, modern, efficient business models.
By the end of this book, you will understand how to adopt and integrate AI, empowering your team to leverage AI in your business operations, reducing the time spent on operational tasks, and unlocking new growth opportunities. By adopting the strategies in this book, you will reduce operational costs, improve efficiency, and future-proof your business. KEY FEATURES ? Introduction to AI concepts, types of AI, and real-world examples.? Overview of popular frameworks, strengths and weaknesses, and selection criteria.? Use cases of generative AI for innovation across diverse industries.
WHAT YOU WILL LEARN? Grasp how AI is revolutionizing business operations and driving innovation.? Understand AI adoption frameworks and learn how to choose the right one for your organization.? Explore AI applications in healthcare, finance, and manufacturing, from patient care to fraud detection.? Discover the role of AI in Web 3.0 and its intersection with blockchain.? Learn how AI enhances customer service, education, agriculture, and retail, transforming industry landscapes.
WHO THIS BOOK IS FORThis book is ideal for CXOs, decision-makers, entrepreneurs, business owners and leaders, consultants, and digital transformation advisors interested in the democratization of AI, generative AI, and large language models.