Rebuilding the data stack for AI
Enterprise AI hinges on high-accuracy outputs, requiring better data context, unified architectures, and rigorous measurement frameworks, says Bavesh Patel, senior vice president at Databricks, and Rajan Padmanabhan, unit technology officer at Infosys.
TL;DR
- High-accuracy outputs are fundamental for Enterprise AI.
- Better data context is necessary.
- Unified architectures are required.
- Rigorous measurement frameworks are essential.