This book highlights artificial intelligence algorithms used in implementation of automated pricing. It presents the process for building automated pricing models from crawl data, preprocessed data to implement models, and their applications. The book also focuses on machine learning and deep learning methods for pricing, including from regression methods to hybrid and ensemble methods. The computational experiments are presented to illustrate the pricing processes and models.

This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems. The recent success of commercial ML applications and the rapid growth of the field has created a high demand for off-the-shelf ML methods that can be used easily and without expert knowledge. However, many of the recent machine learning successes crucially rely on human experts, who manually select appropriate ML architectures (deep learning architectures or more traditional ML workflows) and their hyperparameters. To overcome this problem, the field of AutoML targets a progressive automation of machine learning, based on principles from optimization and machine learning itself. This book serves as a point of entry into this quickly-developing field for researchers and advanced students alike, as well as providing a reference for practitioners aiming to use AutoML in their work.

This book presents Proceedings of the International Conference on Intelligent Systems and Networks (ICISN 2022), held at Hanoi in Vietnam. It includes peer reviewed high quality articles on Intelligent System and Networks. It brings together professionals and researchers in the area and presents a platform for exchange of ideas and to foster future collaboration. The topics covered in this book include- Foundations of Computer Science; Computational Intelligence Language and speech processing; Software Engineering Software development methods; Wireless Communications Signal Processing for Communications; Electronics track IoT and Sensor Systems Embedded Systems; etc. ​

Artificial intelligence is forecasted to have trillions of dollars of impact on businesses and the economy, yet many marketers struggle to understand what it is and how to apply it in their marketing efforts. The truth is, AI possesses the power to change everything. While AI-powered marketing technologies may never achieve the sci-fi vision of self-running, self-improving autonomous systems, a little bit of AI can go a long way toward dramatically increasing productivity, efficiency, and performance. Marketing AI Institute’s Founder & CEO, Paul Roetzer, and Chief Content Officer, Mike Kaput, join forces to show marketers how to embrace AI and make it their competitive advantage. Marketing Artificial Intelligence draws on years of research and dozens of interviews with AI marketers, executives, engineers, and entrepreneurs. Roetzer and Kaput present the current potential of AI, as well as a glimpse into a near future in which marketers and machines work seamlessly to run personalized campaigns of unprecedented complexity with unimaginable simplicity. As the amount of data exponentially increases, marketers’ abilities to filter through the noise and turn information into actionable intelligence remain limited. Roetzer and Kaput show you how to make breaking through that noise your superpower. So, come along on a journey of exploration and enlightenment. Marketing Artificial Intelligence is the blueprint for understanding and applying AI, giving you just the edge in your career you’ve been waiting for.

"This book is a comprehensive and in-depth reference to the most recent developments in the field covering theoretical developments, techniques, technologies, among others"--Provided by publisher.

This book constitutes the refereed proceedings of the 45th German Conference on Artificial Intelligence, KI 2022, held in September 2022. The 12 full and 5 short papers were carefully reviewed and selected from 51 submissions. Additionally, five abstracts of invited talks are included. As well-established annual conference series KI is dedicated to research on theory and applications across all methods and topic areas of AI research. Due to COVID-19 the conference was held virtually. The chapter "Dynamically Self-Adjusting Gaussian Processes for Data Stream Modelling" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Artificial intelligence (AI) tools are software applications or platforms that employ AI algorithms to accomplish specific tasks or solve problems. They are designed to replicate or augment human intelligence and can be utilized in numerous industries, including healthcare, finance, marketing, and e-commerce. A common application of AI tools is data analysis and forecasting. These tools are capable of analyzing massive datasets and identifying patterns and tendencies that may not be readily apparent to humans. This can be utilized to predict customer behavior, identify risk factors, and optimize business processes. In natural language processing (NLP), which involves understanding and interpreting human language, AI tools can also be utilized. NLP is implemented in numerous applications, including chatbots, translation software, and voice recognition systems. An additional common application of AI tools is image and video processing. These tools are capable of analyzing and comprehending the content of images and videos, and can be utilized for tasks such as object recognition, facial recognition, and image and video manipulation. Additionally, AI tools can be used to automate tasks and processes. For instance, they can be used to automate customer service inquiries, schedule and manage appointments, and manage inventory and supply chains. There are numerous AI tools available, and the appropriate tool for a given task will depend on the task's requirements and constraints. Some AI tools are intended for non-technical users, while others necessitate advanced programming skills. AI tools have the potential to significantly increase efficiency and productivity across a wide range of industries and can assist businesses in making better decisions and achieving their objectives more quickly and efficiently.

Review of Marketing Research pushes the boundaries of marketing—broadening the marketing concept to make the world a better place. Here, leading scholars explore how marketing is currently shaping, and being shaped by, the evolution of Artificial Intelligence (AI).

AI Unleashed: Harnessing Artificial Intelligence to Start and Grow Your Business is a comprehensive guide that takes entrepreneurs on a transformative journey into the world of AI. From understanding the potential of AI to implementing it strategically in various aspects of business, this book provides invaluable insights and practical strategies for leveraging AI to achieve success. In this nine-chapter book, readers will explore the fascinating intersection of AI and entrepreneurship. Beginning with an introduction to AI in business, the book dispels common misconceptions and showcases real-world examples of organizations that have harnessed AI to revolutionize their operations. Readers will learn how to identify opportunities for AI integration within their business models and conduct market research to stay ahead of emerging trends. Practical guidance is provided for setting up the necessary infrastructure and acquiring the hardware and software resources to embark on the AI journey. The book delves into the intricacies of building and training AI models, offering readers a solid foundation in understanding different AI models and their applications. Step-by-step instructions are provided for collecting and preparing data for training, and popular AI frameworks and platforms are explored. This book may contain affiliate links. Using these links does not impact the amount that you are charged, but it does allow me to continue to create and offer amazing content and programs. Thank you for your support. With a focus on practical implementation, the book guides entrepreneurs through the process of integrating AI solutions into existing business processes. It covers topics such as enhancing customer experience through AI-powered chatbots and personalization, optimizing operations through automation and predictive analytics, and leveraging AI in marketing and sales for customer segmentation, pricing optimization, and more. As AI continues to evolve, ethical considerations are paramount. The book addresses these concerns, emphasizing the importance of transparency, accountability, and ethical decision-making in AI applications. It also highlights emerging trends and future possibilities, encouraging entrepreneurs to stay informed and adaptable. AI Unleashed is a must-read for business owners, managers, and aspiring entrepreneurs who are eager to leverage AI's transformative power. With its practical approach, real-world examples, and expert guidance, this book equips readers with the knowledge and tools to unlock the potential of AI and drive sustainable growth in their businesses. Embrace the AI revolution and propel your business forward with AI Unleashe

Abstract: Artificial intelligence has already been applied to many areas since its official birth in 1956, but most of the applications ended up in great disappointments as the benefits they reaped were very low. Due to this reason the vast interest in applying this relatively young technology to business calmed down in the late seventies when scientists recognized that the current intelligent systems were not yet plug-and-play solutions, hence mature enough to fully meet the business needs and requirements at that time. However, the limited commercial applicability of artificial intelligence in the past has to be rethought today as with the significant progress in artificial intelligence research and the growth of electronic commerce conducted over the World Wide Web new opportunities for business applications of artificial intelligence have emerged consequently. Nowadays horizontal and vertical electronic commerce is significantly driven by intelligent applications. Their employment in electronic businesses may well generate huge returns on investments, providing a technology-based response to increasing competition, the volatility of business models, and the pace of technology change . Despite the wide assumption that artificial intelligence will have a major impact on Internet-related businesses today and especially in the next years to come, it is uncertain to what extent it performs and will perform that way. The purpose of this thesis is to analyse, assess and evaluate the potential of commercial applications of artificial intelligence in electronic businesses. Therefore the main research question of this paper is whether artificial intelligence is reasonably applicable in Internet-related businesses, first in terms of effectiveness and second in terms of efficiency. In the assessment the application of artificial intelligence in electronic businesses is represented by the employment of intelligent agents. In harmony with the major research question emphasized above, the paper provides a thorough discussion about the economic impact of the most common and relevant application types of intelligent agents on electronic commerce environments. In addition the driving underlying technologies of intelligent agents are analysed with respect to artificial intelligence techniques and methods, and current standardisation efforts. [...]