Enterprise Guide for Implementing Generative AI and Agentic AI A Practical Guide to Developing, Deploying, and… (Shakuntala Gupta Edward, Rahul Bhattacharya etc.) (Z-Library)

Author： Shakuntala Gupta Edward, Rahul Bhattacharya, Vikas Sinha

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.

AI Reading Assistant

Whole-book reading guide from stratified index samples; jump to passages in the text

Generate book guide

Help cover token costs

Tip the Site

Support this site Your recognition and a small knowledge-service contribution help keep this technical work open source. Scan the WeChat Pay or Alipay code below. Logged-in and guest visitors can both tip.

Open WeChat or Alipay and scan. No login required.

Regenerate

Passage locations

Ask

Collapse guide