Multimodal Generative AI: Architecture Models, Enabling Technologies, and Industrial Use Cases

Pethuru Raj · Kai Sheng · Kavitha Venkatesh · Sundaravadivazhagan Balasubramanian

Jul 2026 · Cambridge Scholars Publishing

Ebook

540

Pages

Eligible

About this ebook

It all started with predictive AI. Now we are in the pulsating era of generative AI. A wider variety of natural language processing, understanding, and generation (NLP/U/G) use cases are being accomplished through generative AI technologies and tools. The faster maturity and stability of language models (large, small, and vision) are leading to the envisionment and implementation of innovative and disruptive services. Language models are equipped to handle multimodal data (textual, visual, and audio) to enable multimodal AI applications. Every industry vertical is keenly building sophisticated AI products and solutions. This book is specifically designed to convey the key drivers, architectural patterns, and industrial use cases in the era of multimodal generative AI. Readers will encounter chapters dedicated to demystifying the cutting-edge technologies and tools for building, deploying, observing, managing, and improving resilient, versatile, and path-breaking intelligent systems that drive business transformation and people empowerment. This book is definitely a hand-holding guide in insightfully inspiring our esteemed readers.

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About the author

Pethuru Raj, PhD, is the Principal AI Architect at Infocion Inc., Bangalore, India. Previously, he worked as Vice President and Chief Architect at the AI division of Reliance Jio Platforms Ltd., Bangalore, IBM Global Cloud Centre of Excellence (CoE), Wipro Consulting Services (WCS), and Robert Bosch Corporate Research (CR). He has gained over 25 years of experience in the IT industry and nine years of research experience.

Kai Sheng received a BE (2000) degree in Information Engineering from the Central South University, China and a PhD (2006) degree in Risk Engineering from the University of Tsukuba, Japan. Now he is a Professor at the Guangzhou Institute of Technology, Xidian University, China. His recent research interests are mainly focused on the application of AI technologies to V2X-based automated driving (AD).

V Kavitha is currently working as an Associate Professor, Department of Computer Science with Cognitive Systems, Sri Ramakrishna College of Arts and Science, Coimbatore, Tamil Nadu, India. She obtained her PhD degree in 2014 in the broad area of Data Mining. She has over 20 years of teaching and research experience. She has supervised research scholars and postgraduate and undergraduate students in contemporary cyber security.

B. Sundaravadivazhagan obtained a PhD in Computer Science from Anna University, Chennai, India. Currently, he is faculty in the Department of Information Technology at the University of Technology and Applied Science-Al-Mussanah in Oman. His academic and research background spans more than 23 years at many institutions.

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