How to Implement Chatbots in an Industrial Context

Overview

Join us for an in-depth exploration of how to implement chatbots within an industrial context. This session delves into essential topics such as chatbot design principles, architecture development, and the application of machine learning algorithms.

Attendees will also gain insights into overcoming testing challenges and developing effective strategies for ongoing improvement.

A highlight of the event is the live demonstration of ThoughtWorks' innovative chatbot, offering a practical example of theoretical concepts put into action. This presentation is perfect for professionals and enthusiasts eager to enhance their understanding of artificial intelligence applications in industry.

Syllabus

• Introduction to Industrial Chatbots
Overview of Chatbot Applications in Industry
Benefits and Challenges
• Design Principles for Industrial Chatbots
Understanding User Needs and Requirements
Conversational Design Best Practices
User Interface & Experience Considerations
• Chatbot Architecture
Components of a Chatbot System
Deployment Options (On-Premise vs Cloud)
Integration with Existing Systems and Data Sources
• Machine Learning Algorithms for Chatbots
Natural Language Processing (NLP) Techniques
Intent Recognition and Entity Extraction
Dialog Management Systems
• Testing and Validation
Testing Frameworks and Tools
Handling Edge Cases and Exceptions
User Feedback and Testing Iterations
• Continuous Improvement Strategies
Monitoring and Performance Analytics
Iterative Development and A/B Testing
Updating and Scaling the Chatbot
• Live Demonstration
Overview of ThoughtWorks’ Chatbot Features
Real-Time Walkthrough and Use Cases
Q&A Session
• Conclusion and Future Trends
Emerging Technologies in Chatbot Development
Future Directions and Innovations in Industrial Contexts

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Subjects

Conference Talks