Cohesity’s Innovative Approach Brings Enterprise Data To LLMs

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Cohesity Gaia,Enterprise Llms,IBM

Steve McDowell is chief analyst at NAND Research. Steve is a technologist with over 25 years of deep industry experience in a variety of strategy, engineering, and strategic marketing roles, all with the unifying theme of delivering innovative technologies into the enterprise infrastructure market.

Realizing the full business value of generative AI requires integrating enterprise data with LLMs to provide context-aware responses to natural language queries. Cohesity 's new Gaia offering addresses this need with a unique approach.AI-powered enterprise search assistant that combines a unique approach to retrieval augmented generation and large language models to provide conversational search capabilities.

Unlike traditional search engines that require users to manually sift through vast amounts of data, Cohesity Gaia simplifies this process by directly answering questions based on the indexed data. For example, suppose a user needs to understand why costs have increased in a particular region. In that case, they can simply ask Cohesity Gaia, which will pull relevant data, analyze it, and provide an answer.

Gaia is built with stringent security measures in mind, employing zero-trust security principles and granular, role-based access controls, ensuring that only authorized personnel have access to the data. This helps to protect sensitive information and comply with various regulatory frameworks.

However, the long-term success of Cohesity Gaia hinges on its scalability and the extent to which it can support diverse data types and sources over time. Initial support for platforms like Microsoft 365 and OneDrive is a strong start, but expansion to include more varied workloads will be critical to its long-term success and adoption.

Source: News Formal (newsformal.com)

Cohesity Gaia Enterprise Llms IBM

 

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