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Scaling Conversational AI in Production

Conf42 via YouTube

Overview

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Learn how to scale conversational AI systems in production environments through this 11-minute conference talk from Conf42 MLOps 2025. Explore the critical challenges faced when implementing AI in contact center environments and discover how MLOps serves as the foundational backbone for successful AI deployment. Master essential techniques for feature engineering and model training specifically tailored for conversational AI applications. Understand comprehensive deployment strategies and monitoring frameworks necessary to maintain optimal performance in production settings. Gain insights into detecting and handling data drift, a crucial aspect of maintaining conversational AI systems over time. Acquire practical knowledge about the operational complexities of scaling AI-powered customer service solutions and learn proven methodologies for ensuring reliable, scalable conversational AI implementations in enterprise environments.

Syllabus

00:00 Introduction and Overview
00:45 Challenges in Contact Center AI
03:04 ML Ops: The Backbone of AI
03:47 Feature Engineering and Training
05:50 Deployment and Monitoring
08:29 Handling Data Drift
09:47 Conclusion and Key Takeaways

Taught by

Conf42

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