Enterprise Chatbots: A Hybrid Approach to Machine Learning
Jul. 10, 2017•0 likes•597 views
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During the 2017 Chatbot Summit in Berlin, Björn Gülsdorff, Head of Business Development at Creative Virtual, presented a keynote on combining AI and self-learning with human input for successful chatbots and virtual agents.
5. Recap of the Challenges
Integration
Customisation – Domain Knowledge
Compliance (Legal, Security, …)
And
ROI
Timeline
Budget
And
Predictability
6. Self-Learning - Pitfalls
Machine Learning
is Not flexible
• Architecture
• Algorithm
• Special cases
Black Box –
By design
Garbage in –
Garbage out
7. And: A noisy Panda is a Gibbon
Panda (57%) „Noise“ Gibbon (99%)
12. How it works
Unsupervised pre-learning of
generic language model
System actions with integration
(Classes) defined by humans
Machine Learning against
examples
Scenarios defined
in flow editor
Examples for classification
defined by humans or collected
from agent actions
13. Hybrid2 Approach
1. Creation of Content
• Unsupervised Pre-Learning
• Human curated content
• Supervised Learning
2. Improvement
• Alternates from user
interactions
• Feedback from agents
• Retrain
14. Finds & Benefits
Small receptive fields
Robust against parameter
variations
Only few examples needed
Great results!