ON-DEMAND SESSION

Building AI for Data and Data for AI

Large Language Models (LLMs) are revolutionizing how companies analyze and act on data. This talk reveals practical methods learned in the field to implement LLMs as “data copilots” for your enterprise.

Topics include step-back prompting, context windows, and retrieval-augmented generation—techniques that enhance responsiveness while preserving accuracy. How to implement response guardrails and highlight data preparation best practices through knowledge graphs, semantic layers, and semantic modeling.

Learn how to create language-ready data that empowers LLMs to grasp business context, delivering tangible ROI. Arm yourself with strategies to avoid pitfalls, drive data-driven decisions, and harness the full potential of AI.