This session introduces the operational lifecycle of Large Language Models (LLMs), focusing on how to deploy, monitor, and maintain AI solutions in real-world business environments. Participants will gain a basic overview of LLMOps principles and tools, including architecture, monitoring, CI/CD pipelines, and governance strategies.

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Agenda for the session

  • Understand LLMOps fundamentals and its role in enterprise AI
  • Learn best practices for deploying, monitoring, and using LLM apps
  • Explore LLMOps architecture and CI/CD basics for AI solutions
  • Review real-world business use cases of LLMOps in action

About Speakers

Anjana Agrawal

Entrepreneur | IoT, Big Data, Business Analytics & IT/Operations Consultant

A seasoned professional with 30+ years of expertise in data science, strategy, and business transformation. Skilled in advanced statistical modeling, machine learning, NLP, and big data analytics. Recognised kaggle competition expert with top global rankings. Combines deep expertise as a management consultant, technical architect, and quality leader (ISO, CMMi, Six Sigma) with a strong track record in digital transformation, cloud, SOA, and social media analytics

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