Rahul Bhattacharya – författare

'Magnificent' KAMILA SHAMSIE'Majestic yet profoundly tender' MEGHA MAJUMDAR A breathtaking novel about a woman forging a life for herself on the railways, Railsong is the story of an individual coming of age amid the social and political upheavals of twentieth-century India.In a newly independent India charged with national vigour, Charu, the motherless daughter of a railway worker, pines for freedom from the shackles of her impoverishment and meagre prospects. As diesel engines replace steam and the calamitous churn of drought, famine and a great strike engulfs her town, Charu dares to imagine a different future for herself. She boards a train and flees westwards, leaving behind the oppressive domesticity of her childhood for the alluring modernity, and apparent opportunities, of Bombay. Unfazed by the everyday discriminations around her, she becomes an unlikely hero: a railway woman and census enumerator who keeps her heart open —sometimes guilelessly — to her nation’s vast possibility. Sweeping, elegiac and at times wonderfully comic, Railsong is a powerful portrait of grit, optimism and the force of character that enables one remarkable woman to live on her own terms in a country full of contradictions.

'Magnificent' KAMILA SHAMSIE'Majestic yet profoundly tender' MEGHA MAJUMDAR A breathtaking novel about a woman forging a life for herself on the railways, Railsong is the story of an individual coming of age amid the social and political upheavals of twentieth-century India.In a newly independent India charged with national vigour, Charu, the motherless daughter of a railway worker, pines for freedom from the shackles of her impoverishment and meagre prospects. As diesel engines replace steam and the calamitous churn of drought, famine and a great strike engulfs her town, Charu dares to imagine a different future for herself. She boards a train and flees westwards, leaving behind the oppressive domesticity of her childhood for the alluring modernity, and apparent opportunities, of Bombay. Unfazed by the everyday discriminations around her, she becomes an unlikely hero: a railway woman and census enumerator who keeps her heart open —sometimes guilelessly — to her nation’s vast possibility. Sweeping, elegiac and at times wonderfully comic, Railsong is a powerful portrait of grit, optimism and the force of character that enables one remarkable woman to live on her own terms in a country full of contradictions.

Generative AI and Agentic AI together are revolutionizing the technology landscape, with profound and far-reaching impacts across industries. Organizations are increasingly adopting these technologies to drive innovation, enhance unstructured content management, and improve problem-solving capabilities. With Agentic AI, enterprises are moving towards the development of intelligent systems that can plan, reason, and act with autonomy. While early proof-of-concepts (POCs) demonstrated the potential of these technologies, the current shift is toward responsible and scalable production implementations that leverage both generative and agentic capabilities.This book begins by guiding you through the technological evolution of AI, from early machine learning to today’s large language models (LLMs) and agentic systems. It then explores a wide range of use cases across industries, highlighting how LLMs can support decision-making, and how Agentic AI enables dynamic, collaborative systems that act with autonomy and intent. This is followed by Design Patterns across the lifecycle of AI solution development, deployment and monitoring. Readers will then gain insights into the methodologies for developing and deploying Generative and Agentic AI solutions at an enterprise level. A featured implementation demonstrates how Agentic AI can be effectively put into action.The book also introduces essential concepts such as MLOps, LLMOps, and Responsible AI principles which are critical for transitioning the AI solutions from experimentation to production. These principles ensure that AI deployments are scalable, secure, ethical and compliant. The book concludes with key takeaways and best practices for developing, evaluating, deploying and scaling AI applications responsibly and effectively within enterprise settings.You Will:Understand key design patterns to develop, deploy and monitor a Generative AI solution effectively.Learn how to develop and implement a production-ready Agentic AI use case.Discover best practices for building scalable, secure, and enterprise-grade AI solutions.Understand how to assess and mitigate risks using Responsible AI principles and LLMOps best practices.This book is for : Enterprise Software Engineers and Architects