Press: Expands Snowflake Collaboration with New Exclusive Offering to Accelerate Data Trust

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December 7th:

Chat with Data Benchmark: Improving the Accuracy of LLM Responses in the Enterprise

New Benchmark:

Read the first-of-its-kind benchmark on the accuracy of LLMs in the enterprise

Upcoming Digital Event

Join’s Juan Sequeda, Principal Scientist & Head of our AI Lab, Dean Allemang, Principal Solutions Architect, and Bryon Jacob, CTO & Co-Founder, to see how a Knowledge Graph can improve the accuracy of LLM responses by 3X; and learn how a data catalog built on a Knowledge Graph can increase trust in LLMs with clear explainability and governance.

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Building the Foundation for Scalable AI

Despite the potential, Large Language Models (LLMs) have critical limitations that organizations must overcome to ensure trust. Without trust, it’s nearly impossible to create meaningful business value. In this report, see how a data catalog built on a Knowledge Graph can overcome these limitations by creating a foundation made of AI-ready data. With the organization’s data and knowledge governed and in this flexible format, AI-powered applications have the rich context needed to generate accurate, explainable, governed responses.

In this report, find how how a data catalog built on a Knowledge Graph enable:

Download a complimentary copy of the report to learn how to build the foundation for scalable AI.