Название: Intelligent Decision Support System for IoT-Enabling Technologies: Opportunities, Challenges and Applications
Автор: Subrаtа Sаhаnа, Аnil Кumаr Sаgаr, Sаnjоy Dаs
Издательство: Nova Science Publishers
Серия: Internet of Things and Machine Learning
Год: 2024
Страниц: 346
Язык: английский
Формат: pdf (true)
Размер: 28.8 MB

This book focuses on the Internet of Things (IoT) and Decision Support Systems to proffer preventive and intelligent systems. The major areas covered in this book are IoT challenges and opportunities, IoT-enabling technologies, decision support systems, smart applications, and intelligent systems to satisfy the goals of societal and economic issues. This book includes various problems in healthcare, insurance, and agricultural sectors. Intelligent and IoT-based applications like healthcare systems, intelligent transportation systems, business intelligence, and Artificial Intelligence (AI) in sustainable agriculture are extensively discussed in various chapters. IoT and Machine Learning Applications for the industrial sector are also highlighted. This book is most suitable for data scientists, doctors, engineers, economists, and specialists in the agricultural sector. This book will benefit the UG/PG and research scholars to understand various domains like agriculture, insurance, enviroment and healthcare sectors with applications of IoT, Machine Learning, Artificial Intelligence etc. Algorithms that can learn on their own from data are the subject of Artificial Intelligence (AI) and Machine Learning (ML) research. Deep Learning (DL) principles utilized in video games and self-driving cars are evidence that machine learning techniques have evolved greatly over the past ten years. As a result, researchers have started to look at machine learning’s potential for use in the industry. According to various studies, Machine Learning is one of the key enabling technologies that will enable the transition from an old-school production system to Industry 4.0.

Название: Accountable and Explainable Methods for Complex Reasoning over Text
Автор: Рерa Аtаnаsоvа
Издательство: Springer
Год: 2024
Страниц: 208
Язык: английский
Формат: pdf (true)
Размер: 26.7 MB

This thesis presents research that expands the collective knowledge in the areas of accountability and transparency of Machine Learning (ML) models developed for complex reasoning tasks over text. In particular, the presented results facilitate the analysis of the reasons behind the outputs of ML models and assist in detecting and correcting for potential harms. It presents two new methods for accountable ML models; advances the state of the art with methods generating textual explanations that are further improved to be fluent, easy to read, and to contain logically connected multi-chain arguments; and makes substantial contributions in the area of diagnostics for explainability approaches. All results are empirically tested on complex reasoning tasks over text, including fact checking, question answering, and natural language inference. A major concern with Machine Learning (ML) models is their opacity. They are deployed in an increasing number of applications where they often operate as black boxes that do not provide explanations for their predictions. Among others, the potential harms associated with a lack of understanding of the models’ rationales include privacy violations, adversarial manipulations, and unfair discrimination. In Computer Science, the decision-making process of ML models has been studied by developing accountability and transparency methods. Accountability methods, such as adversarial attacks and diagnostic datasets, expose vulnerabilities in ML models that could lead to malicious manipulations or systematic faults in their predictions.

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.