Generative AI Transformation - A Guide for Everyone Generative AI Transformation - A Guide for Everyone

Generative AI Transformation - A Guide for Everyone

    • £12.99
    • £12.99

Publisher Description

Gen AI Transformation: A Guide for Everyone" offers a comprehensive exploration of the transformative potential of General AI (Gen AI) for both general readers and developers. The book serves as a roadmap to understanding the evolution, applications, and societal impacts of Gen AI, making complex concepts accessible to all.

Starting with an overview of Gen AI, the book delves into its historical context, key differences from narrow AI, and the imperative need for transformation in various domains. It explains fundamental concepts like intelligence, machine learning, and neural networks in simple terms, making it approachable for readers with diverse backgrounds.

The book then explores transformative applications of Gen AI across healthcare, education, business, and daily life, providing real-world examples, case studies, and scenarios to illustrate its potential. From personalized medicine and predictive analytics to intelligent automation and smart cities, readers gain insights into how Gen AI is revolutionizing industries and enhancing human experiences.

In the section on implementing Gen AI, the book offers practical guidance for organizations and individuals, including strategic roadmaps, building Gen AI teams, and data management best practices. It emphasizes the importance of ethical considerations, collaboration, and continuous learning in harnessing the full potential of Gen AI.

Finally, the book explores future horizons, discussing emerging technologies, long-term prospects, and the role of Gen AI in addressing global challenges. It concludes with a call to action, encouraging readers to embrace the Gen AI transformation and actively participate in shaping a future where AI serves the common good

GENRE
Computing & Internet
RELEASED
2024
10 November
LANGUAGE
EN
English
LENGTH
72
Pages
PUBLISHER
Anand Vemula
SIZE
503.6
KB
UI/UX Design for Agentic AI: Enhancing Human-AI Interaction UI/UX Design for Agentic AI: Enhancing Human-AI Interaction
2025
Data-Driven Agentic AI: Integrating Data Science and Machine Learning Data-Driven Agentic AI: Integrating Data Science and Machine Learning
2025
Designing Agentic AI: Architecture and Development Strategies Designing Agentic AI: Architecture and Development Strategies
2025
AI Risk Management, Analysis, and Assessment. AI Risk Management, Analysis, and Assessment.
2025
AI Protocols AI Protocols
2025
AI Ethics: Principles, Challenges, and Practices AI Ethics: Principles, Challenges, and Practices
2025