Part 5/11:
- Enable Automated Data Processing: Imagine tables that can process themselves from raw data to refined, "golden" datasets without manual intervention—significantly accelerating the AI development lifecycle.
The vision is clear: build platforms that are not just repositories but active, intelligent agents managing, processing, and deploying data with minimal human oversight.
Real-time Data Processing and Agentic Architectures
The importance of real-time data becomes evident when implementing agentic systems. These architectures automatically react to incoming data, enabling swift actions such as alerting, decision-making, or triggering AI models. For example: