Demo: WisdomAI Adaptive Context Engine and fast domain setup

In this demo, Solutions Engineer Ayushi Shah addresses a critical challenge in AI analytics: the gap between connecting AI tools to data and getting trustworthy answers. She explains how Wisdom's Adaptive Context Engine solves this problem by capturing business logic, semantics, and institutional knowledge that typically exists in DBT models, documentation, and team knowledge. The demo walks through creating a domain in WisdomAI, connecting to Snowflake data, and using a Context Generation tool to automatically parse existing business documentation and SQL files.

The Adaptive Context Engine works in three phases:

1) Bootstrap existing context

2) Refine through real queries and feedback loop

3) Maintain and extend context

Ayushi walks you through how the platform enables natural language queries while maintaining transparency through explainability of NLP to SQL generation, underlying data sources, and a host of governance features.

Key benefits highlighted include:

• Rapid deployment (minutes vs months)

• Enterprise-grade governance with audit trails and evaluation sets

• Continuous learning that improves accuracy over time.