[PDF] Generative Ai For E Commerce eBook

Author : Rakesh Kumar
Publisher : Independently Published
Page : 0 pages
File Size : 17,54 MB
Release : 2024-05-06
Category :
ISBN :

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Welcome to the frontier of e-commerce innovation - where artificial intelligence meets the art of customer experience. In the fast-paced world of online retail, staying ahead means more than just offering products; it's about creating immersive, personalized, and engaging shopping experiences that captivate customers and keep them coming back for more. In this groundbreaking book, "Generative AI for E-commerce," we delve into the transformative potential of Generative AI - a cutting-edge technology reshaping the landscape of online shopping. Generative AI is not just about algorithms; it's about understanding human preferences, anticipating needs, and crafting bespoke solutions that resonate with each individual customer. From personalized product recommendations and interactive virtual try-ons to immersive shopping experiences and fraud detection mechanisms, Generative AI is revolutionizing every aspect of the e-commerce journey. Through a comprehensive exploration of concepts, case studies, and practical applications, this book serves as your definitive guide to navigating the intersection of Generative AI and e-commerce. Whether you're a business leader looking to drive growth, a developer seeking to innovate, or a consumer eager for a glimpse into the future of online shopping, "Generative AI for E-commerce" equips you with the knowledge and insights to thrive in the digital marketplace of tomorrow. Join us on a journey where creativity meets technology, where data fuels innovation, and where every click brings us closer to a world of limitless possibilities. Welcome to the future of e-commerce - powered by Generative AI.

Author : S. Balasubramaniam
Publisher : Walter de Gruyter GmbH & Co KG
Page : 290 pages
File Size : 32,93 MB
Release : 2024-09-23
Category : Computers
ISBN : 311142507X

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Generative artificial intelligence (GAI) and large language models (LLM) are machine learning algorithms that operate in an unsupervised or semi-supervised manner. These algorithms leverage pre-existing content, such as text, photos, audio, video, and code, to generate novel content. The primary objective is to produce authentic and novel material. In addition, there exists an absence of constraints on the quantity of novel material that they are capable of generating. New material can be generated through the utilization of Application Programming Interfaces (APIs) or natural language interfaces, such as the ChatGPT developed by Open AI and Bard developed by Google. The field of generative artificial intelligence (AI) stands out due to its unique characteristic of undergoing development and maturation in a highly transparent manner, with its progress being observed by the public at large. The current era of artificial intelligence is being influenced by the imperative to effectively utilise its capabilities in order to enhance corporate operations. Specifically, the use of large language model (LLM) capabilities, which fall under the category of Generative AI, holds the potential to redefine the limits of innovation and productivity. However, as firms strive to include new technologies, there is a potential for compromising data privacy, long-term competitiveness, and environmental sustainability. This book delves into the exploration of generative artificial intelligence (GAI) and LLM. It examines the historical and evolutionary development of generative AI models, as well as the challenges and issues that have emerged from these models and LLM. This book also discusses the necessity of generative AI-based systems and explores the various training methods that have been developed for generative AI models, including LLM pretraining, LLM fine-tuning, and reinforcement learning from human feedback. Additionally, it explores the potential use cases, applications, and ethical considerations associated with these models. This book concludes by discussing future directions in generative AI and presenting various case studies that highlight the applications of generative AI and LLM.

Author : David E. Sweenor
Publisher : TinyTechMedia LLC
Page : 60 pages
File Size : 23,42 MB
Release : 2024-01-31
Category : Computers
ISBN :

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Within the past year, generative AI has broken barriers and transformed how we think about what computers are truly capable of. But, with the marketing hype and generative AI washing of content, it’s increasingly difficult for business leaders and practitioners to go beyond the art of the possible and answer that critical question–how is generative AI actually being used in organizations? With over 70 real-world case studies and applications across 12 different industries and 11 departments, Generative AI Business Applications: An Executive Guide with Real-Life Examples and Case Studies fills a critical knowledge gap for business leaders and practitioners by providing examples of generative AI in action. Diving into the case studies, this TinyTechGuide discusses AI risks, implementation considerations, generative AI operations, AI ethics, and trustworthy AI. The world is transforming before our very eyes. Don’t get left behind—while understanding the powers and perils of generative AI. Full of use cases and real-world applications, this book is designed for business leaders, tech professionals, and IT teams. We provide practical, jargon-free explanations of generative AI's transformative power. Gain a competitive edge in today's marketplace with Generative AI Business Applications: An Executive Guide with Real-Life Examples and Case Studies. Remember, it's not the tech that's tiny, just the book!™

Author : DIZZY DAVIDSON
Publisher : Pure Water Books
Page : 147 pages
File Size : 42,49 MB
Release : 2024-07-29
Category : Business & Economics
ISBN :

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Are you struggling to fully understand the impact of AI in healthcare? Do you wonder how AI can revolutionize diagnosis, treatment, and patient management? Look no further! This book, “AI in Healthcare: Revolutionizing Diagnosis, Treatment, and Management,” is your comprehensive guide to navigating the complex world of AI in the medical field. Discover the transformative power of AI in diagnosing diseases, creating personalized treatment plans, performing robotic surgeries, and managing patient records. This book provides you with the knowledge and tools to harness AI’s potential, ensuring you stay ahead in the rapidly evolving healthcare landscape. Benefits of reading this book: Gain a deep understanding of AI applications in healthcare. Learn how AI enhances diagnostic accuracy and treatment efficacy. Explore real-world case studies and success stories. Understand the ethical and legal considerations of AI in medicine. Discover how AI can streamline administrative tasks and reduce costs. Why this book is essential: Comprehensive Coverage: From disease detection to robotic surgeries, this book covers all critical aspects of AI in healthcare. Expert Insights: Written by industry experts, it provides valuable insights and practical knowledge. Real-World Applications: Learn from real-world examples and case studies that illustrate the successful implementation of AI. Future Trends: Stay informed about emerging trends and technologies shaping the future of healthcare. Viral Bullet Points: Unlock the secrets of AI-driven diagnostics. Discover how AI personalizes treatment plans. Explore the future of robotic-assisted surgeries. Learn how AI manages patient records efficiently. Understand the ethical implications of AI in healthcare. Call to Action: Don’t miss out on the opportunity to revolutionize your understanding of AI in healthcare. Get your copy of “AI in Healthcare: Revolutionizing Diagnosis, Treatment, and Management” today! Equip yourself with the knowledge to leverage AI’s potential and become a leader in the healthcare industry.

Author : Nick Gausling
Publisher : Romy Group LLC
Page : 134 pages
File Size : 29,88 MB
Release : 2023-02-01
Category : Computers
ISBN :

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YOUR WORLD IS ABOUT TO CHANGE! The dawn of mainstream generative artificial intelligence (AI) is here, and pretty soon it will radically transform the way the world does business. While there's a lot of unknowns, one thing is for sure: business leaders who understand how to use this technology will have a massive advantage, while those who don't risk getting swept away with the times. Which one do you want to be? In this book, business consultant Nick Gausling shows you how to use generative AI for your business through highly realistic example dialogue with an AI chatbot. This isn't just dry theory; the dialogue in this book was largely co-created with a real AI. You'll walk away with a strong sense of what this technology is capable of in a business setting, and hopefully a few great ideas of your own on how to apply it in your business. This book is intended for any business leader, entrepreneur, small business owner, consultant, professional, contractor, or employee who is looking to gain some practical knowledge about what is going on with this groundbreaking new technology and how they might use it in their own business activities. Whether you're a senior Fortune 500 executive near the pinnacle of your career, a member of Gen Z who just recently entered the work force and wants to make a splash, or anything in between, this book is for you.

Author : Gaur, Loveleen
Publisher : IGI Global
Page : 472 pages
File Size : 17,10 MB
Release : 2024-09-18
Category : Computers
ISBN :

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Generative artificial intelligence (GAI) represents a profound leap in technological advancement, empowering machines to create content that closely mimics human creativity in various forms. As this technology continues to evolve and permeate multiple industries, it is essential to address the accompanying ethical considerations that arise from its use. Furthermore, there is a need for transparency in how GAI systems are developed and deployed to ensure that they are used responsibly and that their outputs are reliable and fair. Balancing innovation with ethical practices will be crucial to harnessing the benefits of GAI while mitigating its risks and ensuring its positive contribution to society. Responsible Implementations of Generative AI for Multidisciplinary Use highlights both the immense potential of GAI and the ethical challenges it presents. This book demystifies GAI by breaking down complex concepts into accessible language and offering real-world examples that illustrate the implications of its applications. Covering topics such as chatbots, ethical leadership, and the metaverse, this book is an excellent resource for technology professionals and developers, ethicists, policymakers, academicians, researchers, business leaders and executives, legal experts, students, educators, and more.

Author : Rajiv Tulsyan
Publisher : Notion Press
Page : 95 pages
File Size : 31,84 MB
Release : 2024-05-17
Category :
ISBN :

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The comprehensive content of the book, “Transforming Business with Generative AI”, unfolds with an in-depth exploration of Generative AI, establishing its transformative potential in the business landscape. Covering key concepts and historical evolution, the book provides a foundation in machine learning, neural networks, and deep learning, tracing the journey from rule-based systems to the contemporary neural network revolution. It highlights the pivotal role of hardware advancements. The author, Rajiv Tulsyan, then delves into the profound impact of Generative AI on businesses, showcasing its applications in automating tasks, content generation, personalization, data analysis, and creative innovation. Real-world case studies, including Netflix's recommendation system and e-commerce product descriptions, illustrate its practical implications across diverse industries. Each chapter incorporates case studies and real-world examples to reinforce theoretical concepts, making the book accessible to both beginners and professionals. The inclusion of future trends and challenges anticipates the evolving landscape of Generative AI. The book, “Transforming Business with Generative AI”, concludes by emphasizing the importance of addressing ethical concerns and staying informed about emerging trends for businesses seeking to fully leverage Generative AI's potential.

Author : Bernard Marr
Publisher : John Wiley & Sons
Page : 232 pages
File Size : 50,9 MB
Release : 2019-04-15
Category : Business & Economics
ISBN : 1119548985

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Cyber-solutions to real-world business problems Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success. It is used in areas ranging from banking and finance to social media and marketing. This technology continues to provide innovative solutions to businesses of all sizes, sectors and industries. This engaging and topical book explores a wide range of cases illustrating how businesses use AI to boost performance, drive efficiency, analyse market preferences and many others. Best-selling author and renowned AI expert Bernard Marr reveals how machine learning technology is transforming the way companies conduct business. This detailed examination provides an overview of each company, describes the specific problem and explains how AI facilitates resolution. Each case study provides a comprehensive overview, including some technical details as well as key learning summaries: Understand how specific business problems are addressed by innovative machine learning methods Explore how current artificial intelligence applications improve performance and increase efficiency in various situations Expand your knowledge of recent AI advancements in technology Gain insight on the future of AI and its increasing role in business and industry Artificial Intelligence in Practice: How 50 Successful Companies Used Artificial Intelligence to Solve Problems is an insightful and informative exploration of the transformative power of technology in 21st century commerce.

Author : Andy Pandharikar
Publisher : Packt Publishing Ltd
Page : 256 pages
File Size : 29,16 MB
Release : 2022-01-28
Category : Computers
ISBN : 1803234075

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Learn how to use artificial intelligence for product and service innovation, including the diverse use cases of Commerce.AI Key FeaturesLearn how to integrate data and AI in your innovation workflowsUnlock insights into how various industries are using AI for innovationApply your knowledge to real innovation use cases like product strategy and market intelligenceBook Description Commerce.AI is a suite of artificial intelligence (AI) tools, trained on over a trillion data points, to help businesses build next-gen products and services. If you want to be the best business on the block, using AI is a must. Developers and analysts working with AI will be able to put their knowledge to work with this practical guide. You'll begin by learning the core themes of new product and service innovation, including how to identify market opportunities, come up with ideas, and predict trends. With plenty of use cases as reference, you'll learn how to apply AI for innovation, both programmatically and with Commerce.AI. You'll also find out how to analyze product and service data with tools such as GPT-J, Python pandas, Prophet, and TextBlob. As you progress, you'll explore the evolution of commerce in AI, including how top businesses today are using AI. You'll learn how Commerce.AI merges machine learning, product expertise, and big data to help businesses make more accurate decisions. Finally, you'll use the Commerce.AI suite for product ideation and analyzing market trends. By the end of this artificial intelligence book, you'll be able to strategize new product opportunities by using AI, and also have an understanding of how to use Commerce.AI for product ideation, trend analysis, and predictions. What you will learnFind out how machine learning can help you identify new market opportunitiesUnderstand how to use consumer data to create new products and servicesUse state-of-the-art AI frameworks and tools for data analysisLaunch, track, and improve products and services with AIRise above the competition with unparalleled insights from AITurn customer touchpoints into business winsGenerate high-conversion product and service copyWho this book is for This AI book is for AI developers, data scientists, data product managers, analysts, and consumer insights professionals. The book will guide you through the process of product and service innovation, no matter your pre-existing skillset.