Mayank Jain

Mayank Jain

Senior Analyst

About

Mayank Jain is a Senior Analyst with 4+ years of experience building enterprise AI products and intelligent decision platforms. At Dentsu Global Services, he has contributed to developing RAG systems, context layers, and multi-agent AI solutions. Throughout his career, he has won multiple AI hackathons and innovation events across his current and previous organizations. His expertise includes Generative AI, LLMs, and scalable AI applications for enterprise use cases.

Enterprise AI does not usually fail because the model is incapable, it fails because the model receives the wrong context, incomplete context, or too much context at the wrong time.

This session explores how context engineering can be used to build AI systems that understand not just a user’s question, but also the business meaning, data relationships, analytical sequence, and decision intent behind it. Using a real enterprise analytics use case involving hundreds of cross tabs and complex research data, the session will demonstrate how structured metadata, sequential context, semantic retrieval, intelligent ranking, and validation work together to surface the right evidence for every query.

The focus will be on the actual architecture and design choices behind the solution: how context is generated, enriched, retrieved, prioritized, and continuously improved. Attendees will leave with a practical understanding of why context engineering is becoming the foundation for reliable, scalable, and production-ready enterprise AI.

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