Outros livros que poderiam interessá-lo

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  AR and VR Technology Explained -...

  Johnny Nelson

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  Step into the future with AR and VR Technology Explained: A Beginner’s Guide to Immersive Tech, Virtual Reality, and Augmented Reality—the ultimate starting point for anyone curious about the groundbreaking technologies transforming the way we work, learn, play, and connect. Whether you're a student, creator, entrepreneur, or simply tech-curious, this audiobook delivers a clear and engaging introduction to the world of immersive experiences. 
  Explore the fundamentals of augmented reality (AR) and virtual reality (VR) without any confusing jargon or technical overload. Learn how AR overlays digital information onto the real world and how VR creates fully simulated environments that transport users to new realms. Understand the key hardware, software, and platforms powering these technologies—from headsets and mobile apps to cutting-edge AR glasses and metaverse-ready systems. 
  This audiobook breaks down real-world applications across industries like gaming, healthcare, education, architecture, training, marketing, and remote collaboration. Discover how immersive tech is being used to perform remote surgeries, train astronauts, teach students through virtual field trips, and create entirely new art forms and experiences. You’ll also gain insight into the ethical, social, and economic implications of a rapidly evolving digital frontier. 
  Backed by real examples and future-facing insights, AR and VR Technology Explained is perfect for beginners who want to grasp how immersive technologies work and why they matter. As augmented and virtual reality continue to shape our world, now is the time to get ahead of the curve. 
  No prior experience required—just curiosity, imagination, and a willingness to explore what’s next.

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  The Rise of Quantum Computing -...

  Craig Dames

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  Quantum computing is one of the most exciting and transformative areas in modern technology. To understand what quantum computing is, it's important to first grasp the fundamentals of quantum mechanics, the science that underpins it. Classical computers, which most of us are familiar with, process information in binary form, using bits that can be either 0 or 1. However, quantum computing operates on the principles of quantum mechanics, where quantum bits, or qubits, can represent both 0 and 1 simultaneously due to a phenomenon called superposition. 
  In classical systems, information is processed in a linear and sequential manner. However, quantum computers harness the power of quantum mechanics to perform calculations in parallel. This is largely due to two key phenomena: superposition and entanglement. Superposition allows qubits to exist in multiple states at once, enabling quantum computers to perform complex computations much faster than classical computers. Entanglement, another quantum phenomenon, allows qubits that are entangled to influence each other, regardless of the distance between them, which further enhances the computational power of quantum systems. 
  The potential for quantum computing to revolutionize industries and fields like cryptography, medicine, and artificial intelligence is immense. For example, quantum algorithms can solve problems in minutes that would take classical computers millennia to complete. This ability to tackle complex problems more efficiently makes quantum computing a game-changer in the quest for faster and more powerful technologies.

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  AI Development Unleashed -...

  Harper Mitchell

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  With a thorough synthesis of theoretical knowledge and real-world applications, "AI Development Unleashed: Innovations and Techniques for Today's AI Solutions" delves into the ever-changing field of artificial intelligence. The book, written by eminent AI specialists, explores the most recent developments and approaches fostering AI innovation across a range of fields. 
  The book starts with basic ideas and moves through important AI methods, including machine learning, neural networks, and natural language processing while providing concise explanations and practical examples. It highlights the significance of strong data methods and effective algorithm design, giving programmers the resources they need to take on challenging AI problems. 
  The book covers important facets of AI implementation and scalability in contemporary applications, going beyond simple theory. It offers a comprehensive understanding of the AI development lifecycle by covering subjects including edge computing, cloud-based AI solutions, and ethical issues in AI development. 
  Additionally, "AI Development Unleashed" covers new developments in deep learning, reinforcement learning, and AI-driven automation that are influencing the direction of AI. The ways in which these technologies are changing sectors, including healthcare, banking, and autonomous systems, are demonstrated through case studies and real-world use cases. 
  This book is an excellent resource for learning about the state-of-the-art concepts and methodologies that underpin today's AI solutions, regardless of whether you're an enthusiast for AI, an experienced developer, or a business leader investigating AI integration. It gives readers the tools they need to properly and successfully use AI's transformative potential in their own activities.

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  Data Governance - Building a...

  Chuck Sherman

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  In the data-driven era, effective management and governance of data have become imperative for organizations seeking to unlock the full potential of their information assets. "Data Governance: Building a Foundation for Data Excellence" provides a comprehensive guide to understanding and implementing data governance practices that pave the way for data excellence. 
  This book offers a clear and concise exploration of data governance, covering its definition, scope, and the critical role it plays in establishing a solid foundation for data-driven success. With practical insights and real-world examples, it delves into the key components of a data governance framework, including policies, procedures, roles, responsibilities, and supporting technologies. 
  Readers will discover the essential steps to develop a data governance strategy tailored to their organization's specific needs and objectives. From assessing data requirements and defining goals to securing organizational buy-in, this book provides actionable guidance for successful implementation. 
  In addition, the book explores the fundamental processes and practices involved in data governance. Topics covered include data classification, ownership, data quality management, metadata management, access controls, privacy, and compliance. By understanding these critical areas, readers will gain the knowledge needed to establish effective data governance processes within their organizations. 
  Furthermore, the book discusses emerging trends and technologies in data governance, including the impact of artificial intelligence and machine learning, the evolving practices in the age of big data and the Internet of Things (IoT), and the ethical considerations surrounding data usage. 
   

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  The Decision Intelligence...

  L. Y. Pratt, N.E. Malcolm

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  Decision intelligence (DI) has been widely named as a top technology trend for several years, and Gartner reports that more than a third of large organizations are adopting it. Some even say that DI is the next step in the evolution of AI. Many software vendors offer DI solutions today, as they help organizations implement their evidence-based or data-driven decision strategies. 
   
   
   
  But until now, there has been little practical guidance for organizations to formalize decision making and integrate their decisions with data. 
   
   
   
  With this book, authors L. Y. Pratt and N. E. Malcolm fill this gap. They present a step-by-step method for integrating technology into decisions that bridge from actions to desired outcomes, with a focus on systems that act in an advisory, human-in-the-loop capacity to decision makers. 
   
   
   
  This handbook addresses three widespread data-driven decision-making problems: 
   
   
   
  ● How can decision makers use data and technology to ensure desired outcomes? 
   
   
   
  ● How can technology teams communicate effectively with decision makers to maximize the return on their data and technology investments? 
   
   
   
  ● How can organizational decision makers assess and improve their decisions over time?

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  Artificial Intelligence in...

  Bryan DeHart

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  This podcast explores the use of artificial intelligence (AI) and cybersecurity in the financial sector, specifically focusing on cryptocurrencies (Bitcoin) and the banking system. The existing literature on AI techniques such as SVM, ANN, LSTM, and GRU for cryptocurrency price prediction and risk management is reviewed. Additionally, the application of AI in customer service and banking risk management is analyzed, including technologies like blockchain and the Internet of Things (IoT). Finally, the challenges and future opportunities in these areas are discussed. The study is based on a comprehensive analysis of previous research and provides an overview of the state of the art.

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