Sumit Sachdeva

Generative BI & Enterprise RAG

Abstract:

While Large Language Models (LLMs) have transformed conversational interfaces and text processing, their integration into enterprise Business Intelligence (BI) has faced significant operational hurdles. Chief among these are numerical hallucinations, lack of structural schema context, privacy/governance risks, and non-deterministic behavior when executing financial and operational queries.

This keynote presents an end-to-end architectural framework for Generative Business Intelligence (GenBI), a hybrid system design that couples probabilistic language models with deterministic semantic layers, Retrieval-Augmented Generation (RAG) over structured schema catalogs, and real-time execution guardrails. Attendees will learn how modern enterprise software architectures translate unstructured natural language queries (e.g., "What was our net margin variance across Europe in Q3 compared to our dynamic forecast?") into validated, performant SQL or Cypher code that executes directly over enterprise data lakes (Snowflake, BigQuery, Databricks) with minimal numerical hallucinations.

Brief Profile:

Sumit Sachdeva is a Business Intelligence Architect, Technical Leader and AI/Data Engineering Researcher with over 17 years of experience transforming enterprise data into high-value strategic assets. Currently serving as Technical Manager for Predictive Analytics and BI at The Scotts Company LLC, Sumit specializes in architecting modern cloud ecosystems using Databricks, SAP Datasphere, AWS and SAP BW/4HANA to drive operational efficiency and measurable revenue growth. An active leader in the scientific community, he is a Fellow of the Institution of Electronics and Telecommunication Engineers (IETE), a Distinguished Fellow of the Soft Computing Research Society (SCRS) and a Senior Member of IEEE. Sumit is also the published author of "The Agentic Data Warehouse: Architecting Autonomous ETL, Self-Healing Governance, and Actionable Embedded Analytics" alongside numerous scholarly research papers. He holds an MBA in Business Analytics from the University of Delaware and frequently serves as a peer reviewer and industry judge across top-tier technical journals and global awards.