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Enterprise Guide for Implementing Generative AI and Agentic AI: A Practical Guide to Developing, Deploying, and Operationalizing AI-Driven Applications for Enterprise Use
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Enterprise Guide for Implementing Generative AI and Agentic AI: A Practical Guide to Developing, Deploying, and Operationalizing AI-Driven Applications for Enterprise Use

by Shakuntala Gupta Edward, Rahul Bhattacharya, Vikas Sinha
November 2025
Intermediate to advanced
414 pages
8h 50m
English
Apress
Content preview from Enterprise Guide for Implementing Generative AI and Agentic AI: A Practical Guide to Developing, Deploying, and Operationalizing AI-Driven Applications for Enterprise Use

Introduction

The advent of generative AI is reshaping the way we design our systems today. Unlike traditional AI/ML-based systems that analyze and predict, generative AI creates, whether it's text, images, video, audio, or code; it’s changing the way we interact with data and solve problems. Fueled by large language models (LLMs), it represents a massive shift in the way enterprises now approach AI-based problem-solving.

Much like the rise of big data in the early 2010s, generative AI, LLMs, and agentic AI are not just buzzwords—it is a confluence of advancements in foundation models, computing infrastructure, open source ecosystems, and cloud platforms. While the capabilities are impressive, the real value lies in applying it meaningfully within ...

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Publisher Resources

ISBN: 9798868816031Purchase LinkPublisher Website