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CTERA Adds AI Smarts to Object File System

Global file system provider CTERA has extended its platform to link unstructured enterprise data to specific AI models and applications. Called CTERA Data Intelligence, the new addition, still in preview, continuously retrieves metadata from a range of object file stores, indexes it, and links it to third-party AI models from the likes of OpenAI, Anthropic, or Microsoft. As a bonus, CTERA has added specialized AI agents for information retrieval from those models (more on that momentarily).

CTERA Data Intelligence is meant to retrieve real-time data from across a customer’s hybrid cloud data environment and send it to AI systems for inferencing—the process of populating large language models (LLMs) with enterprise-specific data to create focused solutions to business problems.

CTERA's latest product, due for general availability next year, also feeds data to models for use in Retrieval Augmented Generation (RAG), the process of using specific information to populate LLM queries, a process related to inferencing.

Since data streamed to the models is fresh, CTERA says this improves model accuracy and prevents so-called hallucinations or errors made by models that are fed data that is too old or too general. CTERA Data Intelligence also prevents “leakage” of information by providing answers to model queries that are based only on the data a particular user is allowed to access.

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