Subramanian Mannahra spent a decade running business operations before pivoting deliberately into data science and AI. The result: analytics grounded in business consequence, not abstraction. He leads Data & Insights at TNQ Tech, chasing causation over correlation—the upstream "why" behind every downstream outcome.
The knowledge layer problem is not a secret. Every AI practitioner knows it matters. You will see how raw, unstructured content becomes semantically enriched, relationship-rich, queryable intelligence. You will see where automation handles scale and where human expertise is the only answer not as a workaround, but as a deliberate architectural choice that makes the intelligence trustworthy. Domain knowledge, data science, and engineering each irreplaceable inside the loop. Remove anyone, and the intelligence degrades. Keep all of them, and AI stops retrieving and starts reasoning. Human x AI is the theme of this conference. And that is exactly what you will see in action here on real content, end to end.
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