Modern AI demands more than clean data—it needs structured, contextual, and rapidly consumable information.

This whitepaper uncovers the architectural shift that places the Silver Layer at the heart of AI readiness, bridging the gap between raw inputs and actionable intelligence.

Elevate your data architecture with The Critical Role of the Silver Layer in AI-Ready Data Lakehouse Architectures. This whitepaper details how the Silver Layer plays a pivotal role in transforming raw data into structured, contextual assets—enabling scalable AI and GenAI use cases with speed and precision.

Inside, you’ll learn:

  • How to design data layers that support LLM fine-tuning, GenAI prompt engineering, and real-time inference.
  • Why entity-centric, business-aligned modeling accelerates AI development and simplifies data preparation.
  • The key role of integrated metadata and standardized structures in building trust and discoverability.
  • How the Silver Layer speeds up the delivery of use case-specific datasets without heavy ETL processes.

Built on real-world expertise and proven frameworks, this paper equips data and AI leaders with the tools to reduce prep time, improve model performance, and drive AI innovation at scale.

 

  • Eran Katz, Data Architecture & Solutions Lead, Amdocs
  • Khushboo Shah, Solutions Data Architect, Amdocs

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