Mayank Chaturvedi

Mayank Chaturvedi

Head of AI, Insights & Analytics

About

Mayank Chaturvedi is an award-winning AI and Generative AI leader with over 15 years of experience building enterprise AI products and intelligent decision platforms. As Head of AI & Platform at Dentsu Global Services, he leads the development of agentic AI systems, RAG platforms, GenAI evaluation frameworks, and AI-powered business solutions. Previously at Amazon, he led AI initiatives across Retail, Books, and Payments. Mayank has delivered AI solutions for organizations including Amazon, Morgan Stanley, JPMorgan, Pfizer, Medtronic, T-Mobile, and the Government of India. He was recognized by the Government of India for developing an innovative EdTech platform for rural education.

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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