Enterprise Conversational AI

Content Intelligence empowers organizations to optimize their data’s utility by preparing it for Conversational AI systems. Guarantee the information used in GenAI is accurate, current and trusted.

The problem

Ensuring the accuracy, reliability, and compliance of responses is imperative in developing Conversational AI solutions powered by GenAI, given its susceptibility to hallucinations, potentially leading to noncompliant, factually incorrect, and harmful outputs. To mitigate this risk, organizations must guarantee that the data accessed by GenAI is accurate, sanitized, and appropriately contextualized, grounding LLMs in verifiable knowledge sources.

The solution

Content Intelligence gives you complete control over the data accessed by GenAI and ensures that only accurate and verified information is used in Conversational AI.

[ Steps to solution ]

Integrate & enrich

Content Intelligence simplifies integration processes through its 15 pre-built connectors, allowing teams to seamlessly integrate content from various enterprise data sources into a unified platform. Content Intelligence supports all common enterprise file formats as well as different data modalities such as images and tables. Maximize the value of your data no matter the source or type, and without the need for manual information extraction procedures.

Score & clean

Content Intelligence assesses content quality and identifies potential risks such as conflicting, outdated, and missing information, as well as scans for the presence of private or internal use only data. By leveraging Content Intelligence scores, you can proactively address content issues before they lead to inaccurate or non-compliant answers in Conversational AI.

Connect & monitor

Content Intelligence adopts an API-first approach and provides thorough developer documentation and SDKs for Python and Javascript, facilitating integration with any Conversational AI, Chatbot, or RAG system. This ensures Content Intelligence easily fits into your GenAI tech stack, enabling you to constantly monitor the health of your data as well as analyze the feedback from your Conversational AI.

An open architecture to support your evolving knowledge needs
An open architecture to support your evolving knowledge needs
An open architecture to support your evolving knowledge needs
[ Resources ]

New resources from Shelf

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Resources

20 Point Checklist to Ensure Your GenAI System Is Free of Bias and Toxicity

How to build ethical, fair, and trustworthy GenAI solutions free of bias and toxicity.

Resources

Pioneering GenAI Strategies in Healthcare

This guidebook offers actionable insights and practical strategies to harness the power of generative AI in healthcare.

Resources

7 Unexpected Causes of AI Hallucinations

Get an eye-opening look at the surprising factors that can lead even well-trained AI models to produce nonsensical or wildly inaccurate outputs, known as “hallucinations”.

[ Get your data ready ]
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