Bridging the gap between AI development and practical implementation is a common challenge in AI projects. In this session, we’ll share how we tackled this challenge and built “AI that works in practice” through our content moderation AI implementation case study.
We’ll focus on three practical approaches:
- Domain Specialization: Developing AutoML mechanisms specialized for moderation and models optimized for specific service characteristics
- Operational Perspective: Improving accuracy by incorporating operational staff knowledge into training data
- Holistic View: Comprehensive improvements including automated suggestion of decision rationales and optimization of surrounding processes
We’ll concisely share the outcomes and key learnings from these approaches with practical examples.
We welcome anyone facing challenges with content moderation or AI implementation in business operations.
