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Go to Prod With AI Automated Workflow at Work - A Case Study from Microsoft Teams Agent

MLOps World: Machine Learning in Production via YouTube

Overview

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Learn how to deploy AI-powered automated workflows to production through a comprehensive conference talk that examines a real-world Microsoft Teams bot case study. Discover essential observability techniques using open telemetry to identify and resolve issues at the message, bot, LLM, and interaction levels in agentic applications. Explore how AI agents can automate tedious work across platforms like Microsoft Teams and Slack, while understanding the critical importance of monitoring where these bots fail before moving to production. Follow along as the speaker demonstrates practical debugging methods using VS Code to quickly fix problems by adjusting prompts or code. Gain hands-on insights into the open-source tool Monocle with available GitHub samples, and master the use of observability tools to make AI agents more reliable, debuggable, and production-ready for enterprise environments.

Syllabus

Go to Prod With AI Automated Workflow at Work | Pratik Verma, Okahu.ai

Taught by

MLOps World: Machine Learning in Production

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