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Author: Jim Burrow
Publisher:
ISBN: 9780538438094
Category : Internet marketing
Languages : en
Pages : 324
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Book Description
Annotated Instructor's Edition includes lesson plans and scheduling suggestions.
Author: Jim Burrow
Publisher:
ISBN: 9780538438094
Category : Internet marketing
Languages : en
Pages : 324
Get Book Here
Book Description
Annotated Instructor's Edition includes lesson plans and scheduling suggestions.
Author: S. Balasubramaniam
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 311142507X
Category : Computers
Languages : en
Pages : 290
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Book Description
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: Cherry Bhargava
Publisher: CRC Press
ISBN: 1000406466
Category : Technology & Engineering
Languages : en
Pages : 271
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Book Description
This comprehensive reference text discusses the fundamental concepts of artificial intelligence and its applications in a single volume. Artificial Intelligence: Fundamentals and Applications presents a detailed discussion of basic aspects and ethics in the field of artificial intelligence and its applications in areas, including electronic devices and systems, consumer electronics, automobile engineering, manufacturing, robotics and automation, agriculture, banking, and predictive analysis. Aimed at senior undergraduate and graduate students in the field of electrical engineering, electronics engineering, manufacturing engineering, pharmacy, and healthcare, this text: Discusses advances in artificial intelligence and its applications. Presents the predictive analysis and data analysis using artificial intelligence. Covers the algorithms and pseudo-codes for different domains. Discusses the latest development of artificial intelligence in the field of practical speech recognition, machine translation, autonomous vehicles, and household robotics. Covers the applications of artificial intelligence in fields, including pharmacy and healthcare, electronic devices and systems, manufacturing, consumer electronics, and robotics.
Author: Park Thaichon
Publisher: Taylor & Francis
ISBN: 1000780309
Category : Business & Economics
Languages : en
Pages : 213
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Book Description
Artificial intelligence (AI) has driven businesses to adopt new business practices rapidly, enhance product development and services, has helped to power AI-based market intelligence and customer insights, and improve customer relationship management. This timely book addresses the use of AI in marketing. This book also explores the dark side of AI in marketing management and discusses ethics and transparency of automated decision-making in AI applications, data privacy, cyber security issues, and biases in various facets of marketing. Emerging applications of AI such as DeepFakes which use deep learning technology could increase risks of manipulation and deception. Hence, apart from leveraging AI capabilities and advantages, the book cautions the need for prevention strategies to deal with potential issues that could arise from the adoption of AI in marketing management. This book will provide practical insights into the role of AI in marketing management. It will be a useful reference for those researching marketing and marketing professionals.
Author: Dotty Boen Oelkers
Publisher:
ISBN: 9780538698849
Category : Business education
Languages : en
Pages : 180
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Book Description
Looks Identical to student Learner Guide. Has teaching suggestions around the edge of each page.
Author: Kaur, Gaganpreet
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 498
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Book Description
As e-commerce continues to increase in usage and popularity, safeguarding consumers private data becomes critical. Strategic innovations in artificial intelligence and machine learning revolutionize data security by offering advanced tools for threat detection and mitigation. Integrating AI and machine learning into their security solutions will allow businesses to build customer trust and maintain a competitive edge throughout the growing digital landscapes. A thorough examination of cutting-edge innovations in e-commerce data security may ensure security measures keep up with current technological advancements in the industry. Strategic Innovations of AI and ML for E-Commerce Data Security explores practical applications in data security, algorithms, and modelling. It examines solutions for securing e-commerce data, utilizing AI and machine learning for modelling techniques, and navigating complex algorithms. This book covers topics such as data science, threat detection, and cybersecurity, and is a useful resource for computer engineers, data scientists, business owners, academicians, scientists, and researchers.
Author: Barbosa, Belem
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 490
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Book Description
In today's fast-paced global marketplace, businesses grapple with the relentless demand for innovation in marketing strategies. The landscape is ever-evolving, driven by digital advancements and shifting consumer behaviors, leaving companies scrambling to stay relevant. Academic scholars, educators, and managers face a formidable challenge: deciphering the complex web of trends and technologies shaping modern marketing while equipping themselves with actionable strategies to thrive in this dynamic environment. By delving into topics ranging from digital marketing and sustainability initiatives to data analytics and emerging technologies, Marketing Innovation Strategies and Consumer Behavior equips readers with the tools they need to survive and thrive in the modern marketplace. Its emphasis on real-world case studies ensures practical relevance, while its theoretical underpinnings offer a solid foundation for academic inquiry. This book is an indispensable resource for scholars seeking to deepen their understanding of marketing innovation, providing actionable insights and strategic frameworks to navigate the complexities of the digital age with confidence and agility.
Author: Michael Hanke
Publisher: Routledge
ISBN: 1317336976
Category : Business & Economics
Languages : en
Pages : 573
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Book Description
From the few tickets that were sold by Alaska Airlines and former British Midland in December 1995 via the industry’s first airline booking engine websites, global online travel has grown to generate today more than half a trillion dollars in annual revenue. This development has brought significant changes to the airline business, travel markets, and consumers. Today, airlines worldwide not only use e-commerce for online marketing and selling but also as a platform to offer unique services and capabilities that have no counterpart in the physical world. This book is an in-depth introduction to airline e-commerce. It covers a broad scope of areas that are essential to an airline’s ongoing digital transformation. Digital properties & features E-marketing E-sales & distribution Web customer service E-commerce organization E-commerce strategy Written by an airline e-commerce expert and illustrated with numerous examples of leading airlines in this area, Dr. Hanke provides for comprehensive "behind-the-scenes" details of how airline e-commerce works. This book is a crucial companion for students and practitioners alike because it allows the reader to acquire a thorough foundation of airline e-commerce. Furthermore, the book enables the reader to appreciate the ramifications of airline e-commerce in certain corporate areas and to take effective action for a successful e-commerce strategy.
Author: Gomathi Sankar, Jeganathan
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 418
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Book Description
The business world today is changing at a breakneck pace. Traditional management practices need help keeping up with the uncertainties and complexities of the digital age. Leaders face a lot of pressure to innovate, adapt, and drive transformative change within their organizations. However, they need more than just conventional wisdom to navigate this terrain. A deep understanding of emerging technologies like artificial intelligence (AI) and their practical applications in management is essential. Generative AI for Transformational Management offers a compelling solution to these challenges. This book provides a roadmap for leveraging AI to drive organizational transformation by exploring the intersection of generative AI and visionary leadership. By examining real-world case studies and practical applications, readers can learn how AI can be integrated into leadership practices to promote innovation and proactive decision-making and effectively navigate the complexities of the digital age.
Author: V. Kumar
Publisher: Springer Nature
ISBN: 3031596374
Category :
Languages : en
Pages : 398
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Book Description
