iCSRA Conversational AI
Description
iCSRA Conversational AI adds a specialized Data Orchestration Layer designed to augment Gemini for enterprise-grade structured analysis and bridges the gap between "raw files" and "AI-ready context" through:
- Advanced Structural Normalization: iCSRA programmatically transforms complex, multi-dimensional Google Sheets into an optimized format that eliminates the data-attribution errors common in standard LLM parsing.
- Strict Contextual Grounding: Utilize custom grounding protocols to isolate the model's focus, ensuring analysis is derived strictly from your "data at hand" while suppressing external "hallucinated" influences.
- Dynamic Metadata Anchoring: The iCSRA parser engine ensures that every data point—even in sparse or hierarchical datasets—remains aligned to the correct headers, preventing "data shifting" during the analysis of large files.
- Precision Output Controls: The iCSRA chat interface allows for the use of Style Guides and granular parameter tuning, delivering a level of consistency and analytical rigor that exceeds standard conversational AI.
Data Privacy
All data and interim files are processed securely in the GCP environment in compliance with Google API Services User Data Policy limits. For full information regarding data access, usage, sharing, and retention, please review the iCSRA – Ipsos Cloud Survey Reporting Applications - Privacy Policy.