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Home»Machine-Learning»Rubrik Launches Rubrik Annapurna for Amazon Bedrock to Speed up Improvement of Gen AI Purposes
Machine-Learning

Rubrik Launches Rubrik Annapurna for Amazon Bedrock to Speed up Improvement of Gen AI Purposes

Editorial TeamBy Editorial TeamDecember 3, 2024Updated:December 4, 2024No Comments5 Mins Read
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Rubrik Launches Rubrik Annapurna for Amazon Bedrock to Speed up Improvement of Gen AI Purposes
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  • New Rubrik Annapurna API service will permit prospects to have ready-to-go entry to all enterprise information for extra highly effective generative AI purposes

  • Rubrik Annapurna will ship safe information embeddings powered by Rubrik Safety Cloud

  • Rubrik Annapurna leverages all enterprise information and metadata in Rubrik Safety Cloud to simply set and handle entry controls for AI purposes

Rubrik, at present declares Rubrik Annapurna, a single API service for purchasers constructing generative AI (Gen AI) purposes, which can combine with Amazon Bedrock. Rubrik Annapurna is designed to allow quick entry to safe information embeddings from Rubrik Safety Cloud, which spans enterprise-wide information and metadata throughout on-premises, cloud, and SaaS. Rubrik Annapurna’s highly effective and safe information retrieval capabilities will work with Amazon Bedrock, enabling prospects to entry a broad choice of high-performing basis fashions (FMs) to construct enterprise-grade generative AI purposes.

Additionally Learn: Modal Indicators Strategic Collaboration Settlement with AWS to Ship Accelerated Generative AI Options

“Organizations are confronted with vital complexity when creating AI purposes as a result of challenges round information entry and delicate information permissions. This might result in purposes that lack related data or don’t adhere to entry controls”

Creating generative AI purposes personalized to a corporation’s proprietary data is a precedence for the C-suite. Nevertheless, AI improvement groups not utilizing the cloud should first find and extract enterprise information from dozens of purposes, filter on permissions and sensitivity, embed this information into vector databases for retrieval, after which construct information pipelines to their giant language fashions (LLMs).

“Organizations are confronted with vital complexity when creating AI purposes as a result of challenges round information entry and delicate information permissions. This might result in purposes that lack related data or don’t adhere to entry controls,” mentioned Bipul Sinha, CEO, Chairman, and Co-founder of Rubrik. “Rubrik Annapurna helps to unlock Rubrik Safety Cloud’s enterprise information and metadata. Mixed with Amazon Bedrock, which presents an unlimited assortment of confirmed basis fashions and enterprise-grade capabilities, we will ship to prospects highly effective and safe pre-embeddings that turbocharge generative AI initiatives.”

“Amazon Bedrock brings collectively confirmed basis fashions by way of a unified API, making it easy for enterprises to construct and scale generative AI purposes with built-in safety and privateness,” mentioned Chris Sullivan, vp, Americas Channels & Alliances at AWS. “Rubrik’s integration of Amazon Bedrock with its Annapurna API service helps prospects higher leverage all their information – no matter the place it resides – to drive personalized, safe generative AI purposes.”

Additionally Learn: AiThority Interview with Joe Fernandes, VP and GM, AI Enterprise Unit at Crimson Hat

Annapurna’s integration with Amazon Bedrock goals to advance organizations’ AI innovation with:

  • Quick API-first safe information entry: Configurable entry to all of a corporation’s information and metadata managed by Rubrik Safety Cloud, which spans cloud, on-premises, and SaaS apps. Rubrik Annapurna can dynamically replace entry as information refreshes, permissions change, and delicate information is launched.
  • Out-of-the-box, utility conscious embedding engine: Rubrik Annapurna is designed to offer safe embeddings of enterprise information and metadata by way of its single API. These embeddings acknowledge widespread utility schemas and are customizable to assist speed up the event of information retrieval for retrieval-augmented technology (RAG).
  • Seamless mobilization of information: Simply entry and configure all enterprise information and metadata throughout SaaS, legacy, and homegrown purposes like CRMs, b******, and data administration programs. Join all of them with out customized APIs, cumbersome extract switch load processes (ETLs), or customized information pipelines.
  • Keep away from shadow datastores: One versatile and configurable datastore designed for use throughout all of a corporation’s AI purposes, decreasing prices, administration overhead, and threat.

Rubrik Annapurna for Amazon Bedrock is designed to unlock highly effective use circumstances throughout enterprise capabilities, similar to:

  • A extra clever buyer assist professional for each rep: Present expert-like resolutions based mostly on historic data that pulls information from Salesforce Service Desk, in addition to present engineering conversations from Microsoft Groups chat, and even lately printed technical documentation in a corporation’s proprietary data base.
  • A wiser gross sales assistant for each gross sales group: Construct a robust gross sales assistant that connects a number of disjointed purposes similar to Salesforce CRM, emails, Groups chat, and even Zoom recordings sitting in Amazon Easy Storage Service (Amazon S3) buckets. Gross sales groups can quickly get a 360° abstract and qualitative overview of buyer offers with organizational context from buyer emails, telephone conversations, and the related inside communications throughout the group.
  • A extra artistic advertising and marketing assistant: Construct a extremely dynamic advertising and marketing assistant that may create extra authentic shows from a number of, disparate sources, regardless of the place the insights stay. The advertising and marketing assistant can leverage present shows and paperwork in OneDrive, in addition to new product documentation in a proprietary data administration system, and likewise entry buyer suggestions in name recordings in Amazon S3.

“Rubrik is simplifying complicated information environments whereas prioritizing safety and compliance continues to provide us confidence as we discover new alternatives to innovate and scale with AI. In the present day’s announcement of Rubrik Annapurna and the combination with Amazon Bedrock is a real testomony to Rubrik’s focus and imaginative and prescient to assist prospects securely join enterprise information and metadata to construct compelling and AI purposes,” mentioned Ted Balagtas, SVP, Chief Data Officer at Bankwell Monetary Group.

[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]



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