The emergence of Agentic AI will revolutionize automation and efficiency gains cutting across businesses. However, challenges like hallucination and inconsistency hinder the immediate adoption of GenAI models. Utilizing Agentic AI to tame the inherent variability of unstructured data, which is at the core of every white collar work, is the basic step to exploit larger AgenticAI automation in enterprises. This is based on our experience of designing hundreds of automation solutions. We will showcase a few use-cases in this session.
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Speaker
Gnanasekar Harikrishnan
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Gnanasekar H drives platforms at Xtract.io, leading the development of XDAS—a modular, cloud-native platform for data integration and intelligent automation. He focuses on embedding Agentic AI, LLMs, and RAG into real-world solutions. A strong advocate of user-centric design and agile delivery, he brings together cross-functional teams to solve enterprise data challenges. His work sits at the crossroads of product innovation, automation, and enterprise data intelligence.
Bio from: gartner-data-analytics-india-2025
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