Mr. Kapil Kumar Goyal

Revolutionizing AI with the Semantic Layer

Abstract:

 

In the era of AI-driven decision-making, the semantic layer is emerging as a powerful enabler for unifying structured and unstructured data, accelerating insights, and aligning enterprise knowledge with large language models (LLMs). This keynote explores the evolving role of semantic layers in shaping next-generation data platforms — bridging the gap between data engineering, AI, and end-user analytics.

We will examine how semantic models enhance LLM reasoning, reduce hallucinations, and improve contextual accuracy by providing domain-aligned, metadata-rich abstractions over complex data environments. Drawing from real-world use cases across consumer services and real estate, we’ll also discuss how the convergence of data modeling, prompt engineering, and vector stores is redefining the architecture of modern intelligent systems.

As AI continues to shift from predictive to generative, the semantic layer serves as a critical substrate for governance, scalability, and trustworthy outcomes — enabling organizations to move from raw data to real-time, explainable decisions."

 

Profile:

 

Kapil Kumar Goyal is a seasoned product management leader with over 11 years of experience driving transformative AI and data initiatives across global technology organizations. Currently serving as Senior Product Manager – AI & Data Platforms at Zillow Group (California, USA), he leads strategic efforts at the intersection of machine learning workflows, scalable data platforms, and cloud-native systems.

Kapil has a proven track record of launching impactful products from concept to delivery, defining product vision, and collaborating cross-functionally to accelerate innovation. He brings deep technical expertise in MLOps, ML infrastructure, BI tools, and real-time analytics—enabling responsible, explainable, and scalable AI applications.

An SCRS Fellow and active contributor to the global research ecosystem, Kapil regularly serves as a keynote speaker, peer reviewer, and conference judge. His work focuses on advancing trustworthy AI systems and empowering organizations to unlock real-world value from data.