Common challenges includePoorly defined requirementscap (a poem)Difficulty in system integrationRadal's response:
- Preconfigured industry templates: Out-of-the-box models for healthcare/financial and other scenarios reduce startup difficulty
- Real-time expert support: Live chat with response within 10 minutes, one-on-one counseling by appointment for complex issues
- Progressive learning: "Get Started" guide layers instruction from the basics to advanced features.
- Mobile Collaboration: iOS/Android apps allow business people to view the status of model runs at any time
For system integration, API connectors and video tutorials are provided for step-by-step guidance through configuration.
This answer comes from the articleRadal: a low-code platform for rapid fine-tuning and optimization of AI modelsThe
May not be reproduced without permission:AI productivity tools " What are some of the challenges that non-technical teams may face using Radal? How does the platform provide support?
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