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Starts 7 June 2025 22:17
Ends 7 June 2025
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How to Implement Chatbots in an Industrial Context
Explore industrial chatbot implementation: design principles, architecture, ML algorithms, testing challenges, and continuous improvement strategies. Includes live demonstration of ThoughtWorks' chatbot.
MLCon | Machine Learning Conference
via YouTube
MLCon | Machine Learning Conference
2544 Courses
1 hour 6 minutes
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Conference Talk
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Overview
Explore industrial chatbot implementation:
design principles, architecture, ML algorithms, testing challenges, and continuous improvement strategies. Includes live demonstration of ThoughtWorks' chatbot.
Syllabus
- Introduction to Industrial Chatbots
- Design Principles for Industrial Chatbots
- Chatbot Architecture
- Machine Learning Algorithms for Chatbots
- Testing and Validation
- Continuous Improvement Strategies
- Live Demonstration
- Conclusion and Future Trends
Overview of Chatbot Applications in Industry
Benefits and Challenges
Understanding User Needs and Requirements
Conversational Design Best Practices
User Interface & Experience Considerations
Components of a Chatbot System
Deployment Options (On-Premise vs Cloud)
Integration with Existing Systems and Data Sources
Natural Language Processing (NLP) Techniques
Intent Recognition and Entity Extraction
Dialog Management Systems
Testing Frameworks and Tools
Handling Edge Cases and Exceptions
User Feedback and Testing Iterations
Monitoring and Performance Analytics
Iterative Development and A/B Testing
Updating and Scaling the Chatbot
Overview of ThoughtWorks’ Chatbot Features
Real-Time Walkthrough and Use Cases
Q&A Session
Emerging Technologies in Chatbot Development
Future Directions and Innovations in Industrial Contexts
Subjects
Conference Talks
