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Anomalo at Data + AI Summit: Monitoring Unstructured Data for Gen AI

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June 10–13 in
San Francisco

Visit us at Booth 46

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SPEAKING SESSION

Monitoring Unstructured Data for Enterprise Gen AI Applications

Amy Reams, VP of Business Development
June 12 at 5:10pm

Data quality can make or break a Generative AI initiative. But how do we measure and monitor the quality of unstructured data used for training or RAG applications? We will outline a framework for measuring document quality using a combination of heuristics and AI models, describe best practices for using this framework in a production environment, and give a demo of the system we are developing with partners the Databricks ecosystem.

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Frequently Asked Questions

1 What is Anomalo's main focus at the Data + AI Summit by Databricks 2024?

Anomalo will be highlighting its innovations in data quality and observability at the summit. A key focus will be on their session dedicated to monitoring unstructured data, which is crucial for the success of generative AI applications.

2 How does Anomalo help with monitoring unstructured data for generative AI?

Anomalo addresses this by providing solutions for continuous insight into data quality across various datasets. Their platform helps ensure the accuracy and reliability of the data feeding generative AI models, which is vital for trustworthy AI outputs.

3 What are Anomalo's key capabilities for ensuring data trust in enterprise AI applications?

Anomalo offers an autonomous data management system with features like Data Quality, Data Insights, and Table Observability. These capabilities help organizations catch data issues early and maintain high data integrity, which is foundational for trustworthy enterprise AI.

4 How can I engage with Anomalo at the Data + AI Summit?

You can discover Anomalo's innovations at the summit by joining their session. This session will cover important topics like monitoring unstructured data for generative AI, providing a direct opportunity to learn more about their solutions.