Zing, a powerful business intelligence and data visualization platform, is advancing its capabilities by integrating with the latest LLM, DeepSeek, to enhance its intuitive and secure chat-driven analytics experience. Committed to enterprise-grade AI support, Zing ensures U.S.-only hosting and enforces strict security measures for compliance-conscious organizations.
Integrating DeepSeek and other LLMs with enterprise data presents unique security and governance challenges. Zing addresses these concerns through a semantic model and filtered schema approach, ensuring that AI-powered queries remain secure, relevant, and controlled.
Rather than exposing raw tables and complex data structures to the AI, Zing leverages a semantic model to map business concepts into understandable terms. This model ensures that when a user asks a question, the system interprets it in a meaningful way—translating natural language into structured queries that align with the business’s data framework.
Security and data privacy are at the core of Zing’s architecture. By using a filtered schema, Zing ensures that AI-generated queries only access permitted datasets and fields based on user roles and permissions. This prevents unauthorized data exposure while maintaining a seamless experience for users.
Zing provides administrators with governance controls to define which data elements can be queried and how responses are generated. This ensures compliance with data policies and enhances trust in AI-driven analytics.
While DeepSeek is a key integration, Zing also supports additional AI providers, including ChatGPT, Gemini, and Claude. The Zing team continuously evaluate and optimize models to ensure users receive the best performance and accuracy based on their data needs. Zing remains committed to refining AI-driven analytics by staying ahead of advancements in conversational intelligence.
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