Join us in Snowflake Booth #1670 for an engaging conversation with CitiusTech.
The Quality and Trust (Q&T) solution is a comprehensive framework designed to ensure the reliability and effectiveness of AI & Gen AI applications. It aligns with the CHAI (Coalition for Health AI) Clinical, Ethical, and Operational framework and includes multiple layers to ensure data quality, search and retrieval quality, response and interaction quality, and application-specific quality. The solution uses various metrics such as accuracy, relevance, robustness, hallucination, bias, toxicity, and efficiency to evaluate AI/Gen AI applications.
It employs reference-based and reference-free metrics to validate the responses from LLM-based Gen AI applications that can be used during development or for monitoring of Gen AI applications while deployed.
Join CitiusTech’s Vice President-Head of AI Solutions, Kaushik Raha, at HIMSS to demonstrate application of Q&T in practical business scenarios like accelerating prior authorization workflows in a Payer setting, by using LLM models for clinical document summarization, content generation, and Q&A, and ensuring the outcome effectiveness using Q&T, including evaluating AI-generated summaries and responses in healthcare settings.
Snowflake services: Snowpark Container Services, Cortex AI, Cortex Search, Vector Store, Snowpark for Python, Streams and Tasks.
Join us in Snowflake Booth #1670 for an engaging conversation with CitiusTech.
The Quality and Trust (Q&T) solution is a comprehensive framework designed to ensure the reliability and effectiveness of AI & Gen AI applications. It aligns with the CHAI (Coalition for Health AI) Clinical, Ethical, and Operational framework and includes multiple layers to ensure data quality, search and retrieval quality, response and interaction quality, and application-specific quality. The solution uses various metrics such as accuracy, relevance, robustness, hallucination, bias, toxicity, and efficiency to evaluate AI/Gen AI applications.
It employs reference-based and reference-free metrics to validate the responses from LLM-based Gen AI applications that can be used during development or for monitoring of Gen AI applications while deployed.
Join CitiusTech’s Vice President-Head of AI Solutions, Kaushik Raha, at HIMSS to demonstrate application of Q&T in practical business scenarios like accelerating prior authorization workflows in a Payer setting, by using LLM models for clinical document summarization, content generation, and Q&A, and ensuring the outcome effectiveness using Q&T, including evaluating AI-generated summaries and responses in healthcare settings.
Snowflake services: Snowpark Container Services, Cortex AI, Cortex Search, Vector Store, Snowpark for Python, Streams and Tasks.
SAVE YOUR SPOT!
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Kaushik Raha
Vice President- Head of AI Solutions
CitiusTech
Date: March 4, 2025
Time: 2:00 PM PT