Название: Balancing Automation and Human Interaction in Modern Marketing Автор: Аrjun J. Nаir, Sridhаr Маnоhаr, Аmit Мittаl Издательство: IGI Global Год: 2024 Страниц: 348 Язык: английский Формат: pdf (true), epub Размер: 10.1 MB In modern marketing, a pivotal challenge has surfaced - finding the delicate balance between automation and human interaction. This challenge stems from the rapid advancement of Artificial Intelligence (AI) technologies, which, while promising unparalleled efficiency and innovation, also lack the personal touch inherent in traditional marketing. As AI gains prominence, marketers grapple with integrating automated processes while preserving the authenticity and emotional resonance that human engagement brings. Balancing Automation and Human Interaction in Modern Marketing positions itself as a guiding force in achieving balance amid the changing marketing landscape. Within the pages of this book lies a comprehensive exploration of contemporary marketing challenges centered on striking the right balance between automation and human interaction. The quest for optimal equilibrium threads through topics such as elevating customer experiences, scalable personalization through AI, emotional intelligence in marketing, and the critical role of human-centered design. By addressing these challenges head-on, the book provides practical advice for implementing AI in marketing but positions ethics at the forefront. It advocates for responsible AI-driven marketing, fostering trust, and ensuring that the human touch remains a cornerstone of brand-consumer relationships. Designed for a diverse audience, encompassing marketers, business leaders, AI developers, educators, and consumers, the book serves as a resource for dealing with the complexities of AI-driven marketing. With recommended topics spanning from the impact of AI on customer experience to the importance of diverse perspectives in AI development, the book caters to the various interests of its readers.
Название: Writing AI Prompts For Dummies Автор: Stерhаniе Diаmоnd Издательство: For Dummies Год: 2024 Страниц: 288 Язык: английский Формат: pdf, epub (true) Размер: 10.3 MB Learn the art of writing effective AI prompts and break into an exciting new career field. Unlock the full power of generative AI with Writing AI Prompts For Dummies, a comprehensive guide that will teach you how to confidentially write effective AI prompts. Whether it's text, images, or even videos and music you're aiming to create, this book provides the foundational knowledge and practical strategies needed to produce impressive results. Artificial Intelligence (AI) is revolutionizing the way we live and work at an astonishing rate. Whether you’re a marketer who wants to use AI to enhance brand awareness, a content creator who wants to improve your portfolio, or just someone curious about AI, you need to start by learning how to develop effective AI prompts. Prompts are specific instructions given to an AI tool by a user to get a particular response. This resource is brimming with expert guidance and will help you write AI prompts that achieve your objectives. Whether you're a marketer, educator, artist, or entrepreneur, Writing AI Prompts For Dummies is your indispensable guide for leveraging AI to its fullest potential. Get ready to harness the power of Artificial Intelligence and spark a revolution in your creative and professional efforts.
Название: Large Language Model-Based Solutions: How to Deliver Value with Cost-Effective Generative AI Applications Автор: Shreyas Subramanian Издательство: Wiley Год: 2024 Страниц: 224 Язык: английский Формат: epub (true) Размер: 15.5 MB Learn to build cost-effective apps using Large Language Models. In Large Language Model-Based Solutions: How to Deliver Value with Cost-Effective Generative AI Applications, Principal Data Scientist at Amazon Web Services, Shreyas Subramanian, delivers a practical guide for developers and data scientists who wish to build and deploy cost-effective large language model (LLM)-based solutions. In the book, you'll find coverage of a wide range of key topics, including how to select a model, pre- and post-processing of data, prompt engineering, and instruction fine tuning. Large language models (LLMs) have become a cornerstone of Artificial Intelligence (AI) research and applications, transforming the way we interact with technology and enabling breakthroughs in natural language processing (NLP). The author sheds light on techniques for optimizing inference, like model quantization and pruning, as well as different and affordable architectures for typical generative AI (GenAI) applications, including search systems, agent assists, and autonomous agents. Perfect for developers and data scientists interested in deploying foundational models, or business leaders planning to scale out their use of GenAI, Large Language Model-Based Solutions will also benefit project leaders and managers, technical support staff, and administrators with an interest or stake in the subject.
Название: Introduction to Artificial Intelligence (AI) Автор: Аhmеd Ваnаfа Издательство: River Publishers Год: 2024 Язык: английский Формат: pdf (true) Размер: 10.1 MB Introduction to Artificial Intelligence (AI) provides a comprehensive overview of the latest trends in Artificial Intelligence. The book covers the state of the art in AI research, including Machine Learning, natural language processing (NLP), computer vision, and robotics. The book offers a forward-looking perspective on the future of AI, exploring the emerging trends and applications that are likely to shape the next decade of AI innovation. It also provides practical guidance for businesses and individuals on how to leverage the power of AI to create new products, services, and opportunities. Artificial Intelligence (AI) is a term that refers to the capability of machines or computer programs to perform tasks that typically require human intelligence, such as learning, problem-solving, and decision-making. The field of AI has been around for several decades, but recent advances in technology have led to a rapid increase in its capabilities and applications. In this chapter, we will explore what AI is, how it works, and its current and potential future applications.
Название: Artificial Intelligence in Forecasting: Tools and Techniques Автор: Sасhi Nаndаn Моhаntу, Рrееthi Nаnjundаn, Теjаswini Каr Издательство: CRC Press Год: 2024 Страниц: 365 Язык: английский Формат: pdf (true) Размер: 12.4 MB Forecasting deals with the uncertainty of the future. To be effective, forecasting models should be timely available, accurate, reliable, and compatible with existing database. Accurate projection of the future is of vital importance in supply chain management, inventory control, economic condition, technology, growth trend, social change, political change, business, weather forecasting, stock price prediction, earthquake prediction, etc. AI powered tools and techniques of forecasting play a major role in improving the projection accuracy. The software running AI forecasting models use Machine Learning to improve accuracy. Artificial Intelligence (AI) has revolutionized the way forecasting is made in many industries, from finance to retail to healthcare. In today’s fast-paced world, accurate forecasting is essential for businesses to make informed decisions and stay ahead of the competition. The article looks at different tools and techniques used in AI for Forecasting and highlights their advantages and limitations. One of the most widely used AI tools for forecasting is Machine Learning (ML). ML is a subset of AI that allows computer systems to learn from data without being explicitly programmed. Forecasting trains ML algorithms on historical data to identify patterns and relationships that can be used to predict future outcomes. Many ML techniques are available, including regression analysis, decision trees, and neural networks.
Название: Automate Everyday Tasks with ChatGPT Plus (MEAP v3) Автор: Nаtаsshа Sеlvаrаj Издательство: Manning Publications Год: 2024 Страниц: 152 Язык: английский Формат: pdf (true) Размер: 48.9 MB Supercharge your productivity and turn everyday tasks over to your new AI assistant! Here’s the common claim: ChatGPT can save you hours—even days—of time by speeding up everyday tasks and time-consuming jobs. But once you’ve figured out the basics of prompting and have had it write a few emails for you, you might find yourself wondering: is this all it can do? Automate Everyday Tasks with ChatGPT Plus is here to show you just why ChatGPT is truly revolutionary. If you picked up this book, you’ve taken the first step to transforming your workflow with ChatGPT and generative AI. In case you need a refresher, generative AI refers to a type of Artificial Intelligence that can create content, such as text, images, and music. ChatGPT is a type of generative AI that is designed to produce human-like text based on the input it receives. Specifically, it functions as a chatbot, allowing users to engage in informative conversations, brainstorm ideas, and even craft stories. And the possibilities don’t end here. When used correctly, ChatGPT can be a powerful tool in the workplace, assisting with tasks like research, content creation, and problem-solving. This book will guide you towards becoming a ChatGPT power user in your respective domain.
Название: Inside AI: Over 150 billion purchases per year use this author's AI Автор: Аkli Аdjаоutе Издательство: Manning Publications Год: 2024 Страниц: 216 Язык: английский Формат: pdf (true) Размер: 30.4 MB Separate the AI facts from the AI fiction, and discover how you can best put these tools to work in your organization. In Inside AI AI professor and entrepreneur Dr. Akli Adjaoute puts AI in perspective, with informed insights from 30 years spent in the field. His book lays out a pragmatic blueprint that every leader can utilize to drive innovation with Artificial Intelligence. Inside AI provides a clear-headed overview of modern Artificial Intelligence, including the recent advances of Generative AI and Large Language Models. Its accessible and jargon-free explanations of leading AI techniques showcase how AI delivers tangible advantages to businesses. Both inspiring and practical, this book provides a proven framework for developing successful AI applications. Embark on an extensive exploration of the field of Artificial Intelligence within the 11 chapters of this insightful book. The journey begins with an introduction to fundamental principles, encompassing algorithms and programming languages, laying a solid foundation for understanding AI. Moving beyond, chapters 2 to 4 explore various AI techniques, covering expert systems, business rules, fuzzy logic, genetic algorithms, case-based reasoning, classical neural networks, Deep Learning, Bayesian networks, unsupervised learning, and smart agents.
Название: Culture Coding: Harness technology, Artificial Intelligence and behavioural science to empower your business culture and performance Автор: Сhris Dаviеs Издательство: Rethink Press Год: September 15, 2023 Страниц: 202 Язык: английский Формат: pdf, epub, mobi Размер: 10.1 MB In the midst of the Fourth Industrial Revolution, your organisation must harness technology, Artificial Intelligence and digital tools to stay ahead in your field. Fail to do so, and you won’t survive. Culture Coding provides five keys to building a digitally focused, constructive culture that engages staff, delivers for clients and ensures success. It shows you how to take advantage of technology, AI and behavioural science to enable a culture for digital and sustainable business growth, whether you lead a startup, an SME or a multinational enterprise. Generative AI is a subset of Machine Learning that involves using algorithms to generate new content, such as images, music, text, or even videos. Unlike traditional Machine Learning algorithms that are trained on large datasets and used to make predictions based on that data, generative AI models are trained to create entirely new content based on the patterns and structures present in the data. Generative AI can be divided into two main categories: discriminative models and generative models. Discriminative models are used to classify or recognize data, while generative models are used to create new data.
Название: Reinforcement Learning for Finance: A Python-Based Introduction (Early Release) Автор: Yvеs J. Нilрisсh Издательство: O’Reilly Media, Inc. Год: 2024-03-27 Страниц: 153 Язык: английский Формат: pdf, epub Размер: 10.1 MB Reinforcement Learning (RL) has led to several breakthroughs in AI. The use of the Q-learning (DQL) algorithm alone has helped people develop agents that play arcade games and board games at a superhuman level. More recently, RL, DQL, and similar methods have gained popularity in publications related to financial research. This book is among the first to explore the use of Reinforcement Learning methods in finance. Author Yves Hilpisch, founder and CEO of The Python Quants, provides the background you need in concise fashion. ML practitioners, financial traders, portfolio managers, strategists, and analysts will focus on the implementation of these algorithms in the form of self-contained Python code and the application to important financial problems. “Bayesian Learning” discusses Bayesian learning as an example of learning through interaction. “Reinforcement Learning” presents breakthroughs in artificial intelligence that were made possible through reinforcement learning. It also describes the major building blocks of reinforcement learning. “Deep Q-Learning” explains the two major characteristics of deep Q-learning which is the most important algorithm for the remainder of the book.
Название: Your AI Survival Guide: Scraped Knees, Bruised Elbows, and Lessons Learned from Real-World AI Deployments Автор: Sоl Rаshidi Издательство: Wiley Год: 2024 Страниц: 224 Язык: английский Формат: pdf, epub (true) Размер: 10.4 MB Practical and proven AI deployment strategies for non-technical business leaders. In Your AI Survival Guide: Scraped Knees, Bruised Elbows, and Lessons Learned from Real-World AI Deployments, business executive and technologist Sol Rashidi delivers an insightful and practical discussion of how to deploy Artificial Intelligence (AI) in your company. Having helped IBM launch Watson in 2011, Sol has first-hand knowledge of the ups, downs, and change management intricacies that can help you with a successful deployment beyond all the AI hype. She walks you through various frameworks for how to establish your AI strategy, pick your use cases, prepare your non-technology teams, and overcome the most common obstacles standing in the way of successfully implementing AI in your business, based on her many years of deploying AI projects in businesses, which few can claim. Artificial Intelligence is one of the most promising new developments in technology since the advent of the Internet. But standing in the way of widespread business adoption is a lot of hype and a formidable learning curve and technical pre-requisites to understanding this exciting new technology. How is an everyday businessperson supposed to wrap their heads around such a complicated subject? Rashidi demystifies the subject of AI in a way that non-technical business leaders and C-suite executives can better comprehend and apply the technology in their own companies. Mercifully free of “tech-speak,” Your AI Survival Guide uncomplicates a complex topic with narratives and stories that anyone can understand.
Бесплатная электронная библиотека. Скачать книги бесплатно!
Наша электронная библиотека Bookskeeper (для РФ работает через VPN) - это интернет-витрина, где любой посетитель может публиковать электронные варианты книг, журналов, газет, комиксов, в общем, любой литературы со ссылками для медленного, но бесплатного скачивания с файлообменников.
В нашем книжном хранилище Вы всегда найдете литературу на любой вкус человека любого возраста - от детских комиксов и расскрасок до серьезной научной литературы.
|