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Data and AI Services: Generative AI | Agentic AI | MLOps

Azilen Technologies explores generative and agentic AI applications, emphasizing RAG for query accuracy and MLOps for model scalability.

Stargo ResearchNovember 19, 20251 min read
Data and AI Services: Generative AI | Agentic AI | MLOps

Azilen Technologies highlights RAG and MLOps, aligning with Stargo's Stardox for accurate, scalable AI solutions.

Executive Summary

Azilen Technologies discusses the integration of generative and agentic AI in various industries, highlighting applications such as AI-powered client briefings, legal work, and call center automation at JPMorgan Chase, and AI agents diagnosing factory issues at Schaeffler. The article emphasizes the use of a Retrieval-Augmented Generation (RAG) approach to enhance query accuracy and the importance of a strong data foundation for AI success. It also covers the deployment of AI models tailored to industry needs, ensuring they not only predict but also understand, adapt, and take action. The piece underscores the role of MLOps in maintaining AI model accuracy and scalability.

Source: Azilen Technologies -

Published: 2025-02-25T06:35:56.000Z

Original Article: https://www.azilen.com/data-and-ai/

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