Distributed Computing system
Data and A/B testing platform
Team consists of industry & data experts and sets collaborative goals based on business models and industry standards.
Train the model from existing data (if available) and adjust the model to best fit the data as needed. If no data exists, data collection and model training.
Thorough performance verification following prototyping and model modification according to user requirements.
Minimum Viable Product (MVP) implementation and market validation with actual users. Data and feedback to reflect overall product improvements.