Practical AI Roadmap (Paperback)

Vectormind Publishing

ISBN 13: 9798288697708

Verlag: Independently Published, 2025

Beschreibung

Paperback. What You Will Learn in This BookGain a foundational understanding of Artificial Intelligence (AI), including its core concepts, historical development, and the distinct characteristics of various AI technologies like Machine Learning, Deep Learning, Natural Language Processing (NLP), and Computer Vision.Identify and evaluate practical AI opportunities across diverse industries such as healthcare, finance, retail, and manufacturing, understanding how AI can solve common business problems and enhance daily life.Develop a strategic roadmap for AI implementation within your organization, learning how to align AI initiatives with business objectives, assess readiness, and prioritize projects for phased adoption.Master the principles of data management for AI, encompassing effective data collection, crucial preprocessing techniques, robust data storage solutions, and best practices for data security and privacy.Acquire the knowledge to build, deploy, and maintain AI models, including selecting appropriate tools and technologies, navigating the model development workflow, integrating AI into existing systems, and ensuring continuous performance monitoring and iteration.Analyze real-world AI case studies to understand successful applications in areas like customer service enhancement, predictive maintenance, personalized marketing, and fraud detection, extracting valuable lessons for your own initiatives.Discover how to leverage AI to enhance your personal life, from maximizing smart assistants and wearable devices to utilizing AI for health, wellness, and personalized learning.Prepare for the future of AI, understanding emerging trends like Explainable AI (XAI) and Generative AI, adapting to the evolving workforce, and navigating the ethical and regulatory landscape of artificial intelligence.Develop the critical thinking skills necessary to engage with AI responsibly, recognizing AI-generated content and advocating for ethical AI practices. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Bestandsnummer des Verkäufers 9798288697708

Bibliografische Details

• Titel: Practical AI Roadmap (Paperback)
• Verlag: Independently Published
• Erscheinungsjahr: 2025
• Sprache: Englisch
• ISBN-13: 9798288697708
• Einband: Paperback
• Zustand: new

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Inhaltsangabe

What You Will Learn in This Book

• Gain a foundational understanding of Artificial Intelligence (AI), including its core concepts, historical development, and the distinct characteristics of various AI technologies like Machine Learning, Deep Learning, Natural Language Processing (NLP), and Computer Vision.
• Identify and evaluate practical AI opportunities across diverse industries such as healthcare, finance, retail, and manufacturing, understanding how AI can solve common business problems and enhance daily life.
• Develop a strategic roadmap for AI implementation within your organization, learning how to align AI initiatives with business objectives, assess readiness, and prioritize projects for phased adoption.
• Master the principles of data management for AI, encompassing effective data collection, crucial preprocessing techniques, robust data storage solutions, and best practices for data security and privacy.
• Acquire the knowledge to build, deploy, and maintain AI models, including selecting appropriate tools and technologies, navigating the model development workflow, integrating AI into existing systems, and ensuring continuous performance monitoring and iteration.
• Analyze real-world AI case studies to understand successful applications in areas like customer service enhancement, predictive maintenance, personalized marketing, and fraud detection, extracting valuable lessons for your own initiatives.
• Discover how to leverage AI to enhance your personal life, from maximizing smart assistants and wearable devices to utilizing AI for health, wellness, and personalized learning.
• Prepare for the future of AI, understanding emerging trends like Explainable AI (XAI) and Generative AI, adapting to the evolving workforce, and navigating the ethical and regulatory landscape of artificial intelligence.
• Develop the critical thinking skills necessary to engage with AI responsibly, recognizing AI-generated content and advocating for ethical AI practices.