Applications artificial intelligence smart (210 Ergebnisse)

Paperback. Zustand: Fair. Cognitive computing is applicable to almost every industry, where humans engage in dialogue, ask questions, test ideas and make decisions. It enables us to use computers to recognize different types of human expression - literary, vocal, visual, and empathetic - which facilitates a deeper and scalable understanding of the problems that matter .…

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Taschenbuch. Zustand: Neu. Neuware.

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Taschenbuch. Zustand: Neu. Neuware - Understanding artificial intelligence is one thing.Building real intelligent systems is another.If you want to move beyond theory and start creating working AI and robotics projects, this book will show you how.Artificial Intelligence and Robotics: Hands-On Projects and Real-World Applications is a practical guide designed to help you build intelligent systems step by step. Instead of focusing only on concepts, this book walks you through real projects that demonstrate how artificial intelligence models, computer vision systems, natural language processing tools, and robotics platforms are built in practice.Through clear explanations and practical code examples, you will learn how to turn data into machine learning models, connect AI with robotics hardware, and deploy intelligent systems that operate in real environments.Inside this book, you will learn how to: - Set up a professional AI and robotics development environment- Build your first machine learning model using Python- Create an image recognition system with deep learning- Develop a natural language processing application- Program robots using sensors, motors, and control systems- Add computer vision and AI capabilities to robotics projects- Build obstacle-detecting and intelligent navigation robots- Deploy machine learning models as real applications using APIs- Run AI systems in cloud platforms and edge devices- Understand how real-world AI systems operate in healthcare, manufacturing, and transportationThis book focuses on learning by building. Each chapter introduces a practical project that demonstrates how artificial intelligence works in real systems.By the end of the book, you will have the skills to design your own intelligent applications, experiment with robotics hardware, and continue exploring advanced AI development.Whether you are a student, developer, engineer, or technology enthusiast, this hands-on guide will help you transform AI knowledge into practical skills and real projects.If you are ready to start building intelligent machines, this book is the perfect place to begin.…

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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

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Taschenbuch. Zustand: Neu. Neuware - Is your finance team still buried in spreadsheets, manual reconciliations, and month-end scrambles-while competitors are already using AI to close their books in days instead of weeks The accounting and finance profession is undergoing its biggest transformation in decades. Artificial Intelligence Applications in Accounting and Financial Management is the practical, no-fluff guide that shows exactly how AI is reshaping every corner of financial management-and how you can put it to work starting now.Written by Dr. Sameh Al-Nasiri, Finance, Audit, and AI Applications Expert, this book cuts through the hype to deliver real frameworks, real numbers, and real results.Inside, you'll discover: - The five core AI technologies every finance professional must understand-Automation, RPA, Machine Learning, Generative AI, and Predictive Analytics-explained in plain language, not jargon- How to automate invoice processing, accounts payable/receivable, bank reconciliations, and month-end close- How AI is transforming internal audit - from sampling 5% of transactions to analyzing 100% of them in real time- Smarter budgeting, cash flow forecasting, and scenario planning that catches problems 90 days before they happen- AI applications in risk management, treasury, tax, cost accounting, pricing, ESG reporting, and IFRS compliance- A practical, step-by-step 12-month roadmap for implementing AI in your own finance department - starting with low-cost 'quick win' projectsSix real-world case studies-spanning government agencies, manufacturing, investment firms, and telecommunications-show exactly how organizations cut invoice processing costs by 77%, improved budget accuracy from 72% to 94%, prevented a $1.8 million fraud attempt, and recovered millions in hidden profit margin. Every case includes the challenge, the AI-based solution, and the measurable financial result.This isn't a book about replacing accountants with robots. It's a book about what happens when skilled financial professionals learn to work with AI instead of being left behind by it-becoming faster, sharper, and more strategically valuable than ever.Whether you're a financial manager exploring your first AI pilot project, an auditor navigating algorithmic risk and governance, an accounting student preparing for the future of the profession, or a trainer looking for ready-made case studies and assessment materials-this book gives you the concepts, the tools, and the confidence to lead the transformation instead of reacting to it.Complete with a glossary of key terms, an Excel function reference guide, solved practical exercises, a comprehensive question bank, ready-to-use correspondence templates, and an AI-readiness checklist-this is the most practical, hands-on guide to AI in finance available today.The future of finance is already here. The only question is whether you'll lead it or catch up to it.…

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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book systematically reviews the progress of Explainable Ambient Intelligence (XAmI) and introduces its methods, tools, and applications.Ambient intelligence (AmI) is a vision in which an environment supports the people inhabiting it in an unobtrusive, interconnected, adaptable, dynamic, embedded, and intelligent way. So far, artificial intelligence (AI) technologies have been widely applied in AmI. However, some advanced AI methods are not easy to understand or communicate, especially for users with insufficient background knowledge of AI, which undoubtedly limits the practicability of these methods. To address this issue, explainable AI (XAI) has been considered a viable strategy. Although XAI technologies and tools applied in other fields can also be applied to explain AI technology applications in AmI, users should be the main body in the application of AmI, which is slightly different from the application of AI technologies in other fields.This book containsreal case studies of the application of XAml and is a valuable resource for students and researchers.…