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AI-Powered Language Teaching
English | 2026 | ISBN: 1009650793 | 70 Pages | PDF (True) | 3.2 MB
This Element explores the concepts, benefits, and limitations of the use of AI in language learning, teaching, and assessment. It also looks at AI tools for language teaching and language teachers' roles and competencies required for AI-powered language teaching. In addition, it offers practical ideas for AI-powered language teaching and presents AI-powered language teaching activities based on an AI literacy framework, which highlights using AI creatively, critically, effectively, efficiently, and ethically. The Element examines challenges in AI-powered language teaching and provides teachers with actionable guidelines to overcome the challenges. It guides language teachers and teacher educators on how to develop AI competencies, how to select AI tools, and how to integrate the tools successfully into their teaching practices.

AI-Driven Threat Intelligence Frameworks: Revolutionizing Enterprise Cybersecurity
English | 2026 | ASIN: B0H43ZY9K1 | 343 Pages | PDF EPUB (True) | 12 MB
AI-Driven Threat Intelligence Frameworks: Revolutionising Enterprise Cybersecurity explores the growing role of artificial intelligence in enhancing cybersecurity across modern enterprise systems. The book focuses on intelligent, adaptive, and proactive threat detection frameworks designed to address complex and evolving cyber threats while ensuring ethical compliance and resilient digital infrastructures.

AI-Driven Revolution: Transforming the Business Landscape
English | 2026 | ISBN: 1800616562 | 424 Pages | EPUB (True) | 7 MB
In an era where digital transformation is no longer a choice but a necessity, AI-Driven Revolution: Transforming the Digital Landscape serves as a comprehensive guide for business leaders, entrepreneurs, and technology enthusiasts, as well as academics and students eager to harness the power of artificial intelligence (AI). This book delves into the profound impact AI is having on businesses and knowledge professions across various industries and fields, providing case studies and suggesting a roadmap for successfully integrating AI into organizational strategies and operations. Readers will find practical advice on developing AI strategies, selecting the right technologies, and aligning AI initiatives with business goals whilst maintaining a discussion on the ethical implications of AI, including data privacy, algorithmic bias, and compliance with regulations, ensuring responsible and sustainable AI practices.

AI-Driven Industry Transformation: Using emerging technologies including IoT in businesses
English | 2026 | ISBN: 937854083X | 329 Pages | EPUB (True) | 19 MB
With technology changing rapidly and businesses becoming more competitive, adopting the latest technology is no longer just a desire; it has become essential for businesses. Technology is helping organizations not only reinvent and redefine themselves but also create new business models that were previously not possible.

AI-Assisted Statistics for Data Scientists: 50+ Essential Concepts Using R and Python
English | 2026 | ASIN: B0GK713BRM | 606 Pages | EPUB | 9 MB
Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The third edition of this popular guide expands its practical foundations in R and Python into the modern AI toolkit, with new chapters on neural networks, deep learning, and large language models. Generative AI is integrated throughout, showing how tools such as ChatGPT, Claude, and Gemini work, and how they can support real-world statistical workflows.

AI and Wind Power 2: Advancing Sustainability, Grid Integration, and Future Frameworks
English | 2026 | ISBN: 1836691424 | 358 Pages | EPUB (True) | 7 MB
AI and Wind Power 2 examines how artificial intelligence (AI) is enabling this critical transition. Moving beyond turbine-level optimization, this book explores AI-driven architectures for hybrid renewable energy systems that unite wind with solar, hydro and storage. It presents advanced frameworks for smart grid management, dynamic balancing of variable resources and real-time sustainability optimization. Dedicated chapters address the economic and market impacts of AI in wind power, its role in shaping policy and regulatory frameworks, emerging applications in offshore wind, generative AI for system design and consumption behavior analysis.

AI Unleashed Industry Use Cases and Innovations
English | 2026 | ISBN: 1800618042 | 261 Pages | EPUB (True) | 11 MB
AI Unleashed examines the ways in which AI technology and other cutting-edge digital innovations are rapidly reshaping and transforming industries across the globe, and how businesses navigating this digital revolution are increasingly recognising the potential of AI to drive growth, enhance efficiency, and secure a long-term sustainable competitive advantage. The book dives into a range of pioneering AI applications, such as automated decision-making (ADM), virtual factories, large language models (LLMs), natural language processing (NLP), Big Data analytics, digital twins, and blockchain technology, that are fundamentally changing how industries operate. By exploring these transformative tools, the book provides both theoretical insights and practical, real-world case studies, demonstrating how companies can successfully implement these technologies to spearhead their digital transformation. From optimising manufacturing processes with AI-powered virtual factories to harnessing blockchain for secure, transparent transactions, each chapter presents actionable strategies and success stories that showcase how organisations can position themselves as digital leaders. This book doesn't just highlight technological innovations; it also offers a roadmap for companies seeking to embrace digital transformation. It presents comprehensive proposals for integrating these technologies into existing business models, addressing challenges, and fostering an environment of continuous innovation. Through these practical examples, readers will gain a clear understanding of how to lead a successful digital transformation journey, ensuring their business thrives in this era of rapid technological advancement.

AI Safety in Healthcare Systems: Resilience, Transparency, and Accountability
English | 2026 | ISBN: 1041249616 | 230 Pages | PDF EPUB (True) | 15 MB
This book provides an in-depth exploration of AI safety in healthcare. It bridges the gap between technical innovation and patient protection. It examines emerging methodologies for risk management, transparency, and robust AI system design used specifically in medical applications.

AI Modernisation Techniques for Contemporary Trends
English | 2026 | ISBN: 1032871881 | 517 Pages | EPUB (True) | 14 MB
The objective of this publication AI Modernisation Techniques for Contemporary Trends is to offer a comprehensive and practical framework for engineers, technicians, and individuals interested in converting conventional electromechanical systems into intelligent, interconnected, and efficient smart systems. The rising demand for smart technologies necessitates the need of upgrading current systems to effectively cater to these expectations. This book will serve as an extensive resource that aims to facilitate the integration of ancient and contemporary technologies, providing readers with guidance during the whole process of conversion.

AI In Finance: Shaping The Future Of Intelligent Automation And Financial Services
English | 2026 | ISBN: 1800618417 | 271 Pages | EPUB (True) | 6.4 MB
This book provides a clear and accessible overview of how artificial intelligence (AI) and robotics are revolutionizing the financial industry. It begins by introducing the key concepts of AI and its historical evolution, emphasizing its growing importance in finance. The reader is then guided through the foundational technologies, including machine learning and neural networks, while also addressing the ethical challenges of AI. As the book progresses, it explores practical applications, such as how AI enhances financial analysis, risk management, and operational efficiency through automation. It also discusses AI-driven investment strategies, like algorithmic trading and robo-advisors, and highlights how AI improves customer experiences with tools like chatbots and personalized services. Further chapters focus on AI's role in risk management, regulatory compliance, and cybersecurity, as well as its influence on innovative financial products like InsurTech and cryptocurrencies. The book concludes by examining AI's impact on financial planning, future workforce skills, and the broader transformation of the financial sector, offering predictions and strategic recommendations for stakeholders.