Sawinder Pal Kaur

Sawinder Pal Kaur

AI Application Engineering Expert

About

Sawinder Pal Kaur is an AI expert who believes the most powerful AI is the kind that actually works in the "messy" reality of the real world. As an AI Application Engineering Expert at SAP Labs India, she sculpt complex enterprise challenges into precise, impactful products. Her expertise spans Retrieval-Augmented Generation (RAG), predictive risk frameworks, Agentic AI, and Generative AI. A leader and mentor, she is known for transforming complex enterprise challenges into practical solutions and for translating technical concepts into clear, actionable strategies for executives and cross-functional teams.

Embeddings are amazing at transforming messy text into mathematical meaning. But anyone who has tried to match a customer problem to the right solution, find a supplier in a database, or map a keyword to a commodity knows that embeddings start to struggle when confronted with real‑world data. Short words, ambiguous terminology, numeric fields, taxonomy constraints, and inconsistent formats—this is where semantic theory meets the chaos of enterprise reality, and a similarity calculation alone is rarely enough. 

In this talk, we show what embeddings actually do, where they shine, and—more importantly—where they break down. This isn’t just about cosine similarity or vector search; it’s about the engineering decisions required to bridge the gap between user queries and messy, structured business data. 
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