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Cover of Generative AI: Innovations and Applications Across Industries, Apress
New book · Apress

Generative AI: Innovations and Applications Across Industries

Exploring the Influence on Healthcare, Education, Finance, and Beyond

A 12-chapter guide that starts with the foundations of generative AI and large language models, then shows how they are reshaping creative fields, business, healthcare, education, finance, industry and more, with ethics and case studies.

View the book on Springer Generative AI resources

About the book

This book explores generative AI, covering its transformative applications and innovative technologies. It begins with the fundamental concepts, the historical progression and key technologies such as deep neural networks, variational autoencoders and generative adversarial networks, then examines the impact of generative AI across diverse domains, including creative fields, healthcare, education, entertainment and finance. Later chapters address legal, financial, industrial and environmental applications, ethical considerations and future trends, and the book closes with case studies and expert insights.

AuthorsBrijesh Kumar Karna, Suryabhan Singh, Pethuru Raj Chelliah, Akshitta R Chaudhary
PublisherApress, Berkeley, CA (Springer Nature)
LengthXX, 527 pages · 12 chapters · 6 b/w and 90 colour illustrations
PublishedeBook 26 August 2026
Softcover 27 August 2026
ISBN979-8-8688-2912-3 (eBook)
979-8-8688-2911-6 (softcover)
DOI10.1007/979-8-8688-2912-3

Formats, prices and access options are shown on the Springer page and may change. This page does not sell the book.

Highlights and what you will learn

Highlights, as listed by Springer

  • Generative AI applications across industries such as healthcare, finance and education
  • Strategies for integrating generative AI into business operations to drive innovation
  • Challenges and ethical considerations of implementing generative AI applications

You will learn

  • The foundational concepts and technological advances behind generative AI
  • What large language models are
  • Generative AI's role in reshaping business
  • The future of generative AI and its potential impact

Chapters

  1. Introduction to Generative AI (pp. 1-19)
  2. Generative AI in Creative Domains (pp. 21-56)
  3. Generative AI in Business and Marketing: Your New Marketing Sidekick Has Arrived (pp. 57-86)
  4. Healthcare Innovations Through Generative AI (pp. 87-117)
  5. Education Transformed by Generative AI (pp. 119-147)
  6. Generative AI in Entertainment and Media (pp. 149-173)
  7. Generative AI in Legal and Financial Fields (pp. 175-192)
  8. AI in Industrial Maintenance (pp. 193-273)
  9. Sustainable Practices in Agriculture and Environment (pp. 275-315)
  10. Generative AI Applications in Recruitment and Talent Acquisition: Transforming the Hiring Landscape (pp. 317-360)
  11. Ethical, Legal, and Future Considerations (pp. 361-470)
  12. Case Studies, Insights, and Conclusion (pp. 471-516)

Who it is for

AI professionals, machine learning engineers and software professionals who want a comprehensive understanding of generative AI across business domains.

Generative AILarge language modelsTransformersArtificial intelligenceMachine learningPython

The authors

Brijesh Kumar Karna

Lead AI engineer, building production AI systems for enterprise use; work spans generative and agentic AI, AI safety, model optimization and deployment.

Suryabhan Singh

Senior software engineer in Bangalore with a research and development background in optimized AI models, model compression and generative AI.

Pethuru Raj Chelliah

Focus areas include IoT, AI model optimization, large language models, edge AI, blockchain, digital twins, cloud-native and edge computing, and 5G/6G.

Akshitta R Chaudhary

Computing professional studying data science at the University of Aberdeen, with experience in software testing, AI, machine learning and cloud-native technologies.

Author details follow the book's Springer page, where roles and employers are described at the time of writing.

Explore generative AI on this site

Generative AI Artificial Intelligence Large language models More books by Pethuru Raj

Questions

What is the book about?

Generative AI and its applications across industries: foundations and large language models, creative domains, business and marketing, healthcare, education, entertainment, legal and financial fields, industrial maintenance, agriculture and environment, recruitment, and ethical and future considerations.

When was it published?

Springer lists the eBook as published on 26 August 2026 and the softcover on 27 August 2026.

Who should read it?

AI professionals, machine learning engineers and software professionals who want a broad view of generative AI across business domains.

Where can I get it?

See the Springer page linked above for access options, formats and prices.