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Generative AI Transformation: A Guide for Everyone

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Book Details
Language
English
Publishers
Independently published (9 Jun. 2024)
Weight
0.09 KG
Publication Date
09/06/2024
Pages
59 pages
ISBN-13
9798327992849
Dimensions
15.24 x 0.36 x 22.86 cm
SKU
9798327992849
Author Name
Anand Vemula (Author)
Anand Vemula is a technology, business, ESG and Risk governance Evangelist. He has more than 27 plus years of experience. Has worked in MNC at a CXO level. Has been a part of various projects and forums across customers in BFSI, Healthcare, Retail, Manufacuring, Lifesciences, Energy Industry Verticals. Certified in all the technologies and Enterprise Digital ArchitectRead more about this authorRead less about this author
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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.

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