Enterprise Guide for Implementing Generative AI - Edward, Shakuntala Gupta;Bhattacharya, Rahul;Sinha, Vikas
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Erscheint vorauss. 10. Dezember 2025
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Generative AI is a growing trend, and its impact is profound and widespread across industries. Organizations are increasingly using it to drive innovations and enhance their problem-solving capabilities. While proof-of-concepts (POCs) showcase the potential of this technology in driving creative advancements, the latest trend shows a movement from POCs to hardened and responsible production implementation of the technology.
The technology is not only empowering organisations but also laying the foundation for the next-gen users, enabling them to co-work with the technology. This book begins…mehr

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Produktbeschreibung
Generative AI is a growing trend, and its impact is profound and widespread across industries. Organizations are increasingly using it to drive innovations and enhance their problem-solving capabilities. While proof-of-concepts (POCs) showcase the potential of this technology in driving creative advancements, the latest trend shows a movement from POCs to hardened and responsible production implementation of the technology.

The technology is not only empowering organisations but also laying the foundation for the next-gen users, enabling them to co-work with the technology. This book begins with a thorough introduction to artificial intelligence, tracing its development from early machine learning models to the sophisticated large language models (LLMs) of today. Next, it emphasizes how AI transforms industries by covering possible use cases across business functions. It covers the role of LLMs as a decision-makers, demonstrating their potential to go beyond being mereassistants.

The book covers Gen AI development and deployment methodologies for enterprises. It introduces the readers to the importance of following MLOps, LLMOps, and responsible AI principles while implementing Gen AI solutions for an enterprise. It is the implementation of these principles which expedites the movement of the solution from the POC stage to the production stage. Finally, the book concludes with a summary of key insights, best practices for deploying and scaling generative AI within enterprises, and a glimpse into future trends and recommendations for staying ahead in the AI-driven business landscape.

You Will:
Learn how to develop and implement production ready GenAI use case.Discover best practices for developing an GenAI solutions ,which supports scalable, secure, and production-ready deployments.
Autorenporträt
Rahul Bhattacharya is a thought leader, consultant and an active speaker in AI & ML. In his current role as the AI leader of a global firm, he is responsible for working with stakeholders across globe to drive transformative AI programs for clients across industries and functions. With over 30 years of diverse experience in implementing real-world business applications using AI and machine learning globally, Rahul is a trusted advisor and mentor in his field.  Rahul is a Birla Institute of Technology and Science (BITS), Pilani graduate and is passionate about learning and teaching. He defines himself as a curious traveler, consummate foodie and lifelong objectivist. A student of global cultures, he has an eclectic taste in literature, music and movies. He is a husband and a father of two Gen-Z boys. Shakuntala Gupta is a thought leader, consultant in the areas of AI, ML, NLP, Big Data Analytics, product development. In her current role as the AI and Data leader she helps deliver transformative AI programs for clients across various industries and functions.  With over two decades of diverse experience in implementing advanced analytics solutions for real-world business challenges using AI, Data and machine learning, Shakuntala is a true technology enthusiast. With a master's degree in computer science, she defines herself as a continuous learner. Outside of her technical work she loves exploring new cuisines, indulges herself in fiction books and cherish her time at beach whenever possible. Vikas Sinha is a Machine Learning Engineer, Architect and a thought leader in AI & ML. As organizations struggles to scale AI and realize business impact, his role is to conceptualize, build and deploy AI, ML @scale for Clients across sectors globally working with client enterprise and data architects, CDOs and Businesses. Vikas has expertise across cloud platforms and have developed end to end Responsible MLOps, LLMOps architectures on Azure, AWS and GCP enabling clients to productionize multiple AI use cases. He has also led innovations in client engagements through implementation of novel research in multi-modal AI, simplified AI, and enabling operationalization of complex AI architecture as part of enterprise solution. He also mentors' college graduates in the field of Data Science, AI/ML/GenAI/MLOps/LLMOps and have delivered guest lectures at reputed Indian Universities. He is father to a beautiful angel.