Highlights:

  • Turing enables administrators to utilize natural language commands for searching the data stored in Cohesity’s platform.
  • Cohesity will leverage AWS’s Bedrock service to enhance certain capabilities of Turing. Bedrock offers access to a suite of managed AI models hosted on Amazon Inc.’s cloud platform.

Customers can now request early access to Cohesity Turing, a suite of AI features that Cohesity Inc. first demonstrated in May, the company announced recently.

The data management provider and Amazon Web Services Inc. are starting a new technical partnership to support the rollout of the AI features. Through their collaboration, the businesses will incorporate Turing into Amazon Bedrock, a generative AI service from the cloud giant. A comparable integration for Google LLC’s Vertex AI product, which rivals Bedrock, was first unveiled by Cohesity.

Sanjay Poonen, Chief Executive Officer of Cohesity, said, “For some time, enterprise IT priorities have focused on managing data proliferation, data security, and compliance. We now see a rapidly increasing demand for AI-powered data insights from customers.”

Cohesity, headquartered in San Jose, California, offers the Cohesity Data Cloud, a data management platform. This platform empowers organizations to back up business files, optimize storage space usage for their data, and execute various associated tasks. By the end of 2021, over 2,500 organizations, comprising nearly 25% of the Fortune 500, had utilized the platform.

Six months ago, Cohesity unveiled Turing, the AI feature suite it now offers in early access. It enables administrators to use natural language commands to search the data that their organizations store on the Cohesity platform. Turing can also be used for more complex tasks; for instance, an administrator could use it to look for indications of unauthorized file usage by analyzing employee data access patterns.

According to Cohesity, the feature suite can assist businesses in implementing retrieval augmented generation, or RAG. An increasing number of AI projects by enterprise developers are using this machine learning technique.

The dataset used by a neural network to respond to user queries may become obsolete over time. Updating a neural network’s dataset in the past involved retraining, a resource-intensive and time-consuming process. However, RAG, the machine learning technique facilitated by Turing, enables companies to refresh or expand the knowledge base of an AI model without the need for retraining.

Cohesity will power some of Turing’s capabilities with AWS Bedrock service. Access to a number of managed AI models housed on the cloud platform of Amazon Inc. is made possible by Bedrock. Developers can access those AI models through an application programming interface without worrying about maintaining the supporting infrastructure.

Cohesity will power some of Turing’s capabilities with AWS Bedrock service. Access to a number of managed AI models housed on the cloud platform of Amazon Inc. is made possible by Bedrock. Developers can access those AI models through an application programming interface without worrying about maintaining the supporting infrastructure.

At AWS re: Invent 2023 next month, Cohesity will be showcasing a number of new features in addition to this collaboration. Support for Amazon S3 is being provided for DataProtect, a tool in the company’s data management platform that makes file backup, recovery, and related tasks easier. Furthermore, Cohesity is improving the tool’s current integration with the Amazon RDS relational database service.