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Data Engineering Summit 2026 conference with professionals networking.

MAY. 14-15 2026
Hotel Radisson Blu, ORR /
Bangalore

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Muthu Govindarajan

Partner – Engineering at Tiger Analytics

Technology Leader with 25 years of IT experience spanning Data Engineering, Generative AI, Machine Learning, Big Data, Cloud, Data Warehousing, Business Intelligence (BI), and Analytics systems. Muthu Govindarajan has successfully played diverse roles in technology leadership, practice leadership, product ownership, and architecture, consistently driving innovation, scaling practices, and delivering enterprise-wide digital transformation.

All Sessions by Muthu Govindarajan

  • Day 1 | Hall 1 - Thought Leadership and Strategic Insights


  • 11:00  - 11:20
    Every enterprise is rushing to deploy AI. Few have fixed the foundation underneath it. Despite years of investment in data platforms, most enterprise AI systems still hallucinate, produce inconsistent outputs, and fail to reason reliably. The problem is not the model — it is a structural gap between how data platforms were built and what AI agents actually need. This session defines the AI Readiness Gap, diagnoses where enterprises are falling short across six critical dimensions and introduces the Knowledge Layer — the most overlooked component in modern data architecture that bridges raw data assets with AI agent cognition.