Event driven cloud-based architecture for Data Centric AI development

A new research field in AI focuses on improving data quality and speeding up dataset creation from raw data. With challenges such as handling the growing volume of data in the context of IoT and machine learning, there is a need for specialized ETL tools to provide consistent updates for AI models. This whitepaper explores how an event-driven cloud-based architecture addresses these challenges and offers scalability and efficiency.