Mr. Rajesh Sura

Conversational Intelligence at Scale: Rethinking Business Analytics through Natural Language Interfaces

Abstract:

 

In today’s data-rich but insight-starved world, business users often struggle to engage with complex analytical systems that require technical expertise to navigate. Natural Language Interfaces (NLIs) are emerging as a transformative solution, enabling seamless, conversational interaction with business data and democratizing access to insights across all levels of an organization.

 

This keynote addresses the urgent need for accessible, human-centric interfaces in Business Intelligence (BI) and explores how NLIs can bridge the gap between raw data and real-time decision-making. Drawing from enterprise-scale implementations and applied research, we’ll examine the architectural foundations required to support NLIs—spanning language understanding, data integration, security, and performance at scale.

We’ll also explore the key challenges hindering mainstream adoption of NLIs: query ambiguity, data context alignment, scalability under high-load environments, and explainability of results. As organizations strive to empower non-technical stakeholders, the design of intelligent, intuitive, and trustworthy interfaces becomes mission-critical.

 

Attendees will gain a strategic perspective on building future-ready analytics platforms that integrate natural language interaction, support rapid discovery, and align with enterprise governance. This talk aims to inspire AI and data leaders to reimagine how people engage with data—by making analytics not just powerful, but truly accessible.

 

Profile:

Rajesh Sura is a senior data and analytics leader with over 15 years of experience in designing and scaling enterprise data platforms, artificial intelligence (AI) systems, and business intelligence (BI) solutions. He currently leads the Data Engineering and Business Intelligence function for North America Stores, Amazon, where he oversees the development of cloud-native architectures, AI-enabled BI tools, and conversational analytics platforms that support large-scale retail operations.

 

Rajesh has contributed to the design and deployment of Natural Language Interfaces for business intelligence, the migration of legacy data systems to cloud environments, and the creation of secure, governed frameworks for analytics. His work supports tens of thousands of users across global organizations, enabling faster, more informed decision-making through accessible and scalable data systems.

 

He is actively involved in promoting responsible AI adoption, data governance best practices, and cross-functional collaboration between engineering and business teams. Rajesh is a Senior Member and Fellow with technical organizations and regularly contributes to peer-reviewed research, innovation forums, and mentoring programs in the fields of data science and analytics.