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
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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