In this episode of ATP, Shanmuga Muniandy, Director of Architecture & Chief Evangelist, APAC at Denodo, argues that most AI failures are really data failures: stale copies, siloed systems, and patchwork security.
Some of the topics that Shan covered in detail included:
- Agentic AI chains reasoning steps, maintains context, calls tools/APIs, and makes decisions toward a goal.
- To get accurate agent behavior, data must be complete, clean, contextual, and timely.
- Real-time decisions require live context, which requires real-time access to data.
- Business leaders should not need to hunt tables or beg IT for extracts. Self-service data unlocks velocity. It also gives agents stable, well-defined inputs aligned to outcomes.
- Ethics and regulation should be part of the architecture that drives Agentic AI.
