Скачать или смотреть Build AI on Compliant Data with Commvault Data Rooms | Walkthrough

AI initiatives move fast—but sensitive data can’t. In this demo, see how Commvault Data Rooms help organizations prepare AI-ready, compliant datasets by combining automated risk analysis, governed collaboration, and auditable workflows. Compliance officers maintain full control over sensitive data, while data scientists gain rapid access to approved datasets for RAG and AI model development.

What This Demo Covers
The challenge of using enterprise file data for AI safely
Running Commvault Risk Analysis to identify sensitive vs low-risk data
Automatically flagging PII, financial, and confidential information
Creating Data Rooms with only approved, low-risk content
Granting governed access to data science teams
Using Data Studio as a central workspace for AI datasets
Preparing compliant data for RAG and AI model testing
Exporting approved datasets to a secure AI data lake (S3-compatible)
Compliance review and approval before data leaves the environment
End-to-end auditability from risk detection to AI export

Chapters
00:00 Unlocking AI Potential in Organizations
00:56 Balancing Compliance and Data Access
02:20 Streamlining Data Science Workflows
04:12 Ensuring Data Security and Governance

TL;DR
This demo shows how Commvault Data Rooms transform raw file data into secure, AI-ready datasets—balancing speed, compliance, and governance for AI and RAG projects.

Key Benefits
Prevent sensitive data exposure in AI pipelines
Accelerate AI and RAG projects without manual approvals
Maintain compliance and policy control at every step
Enable collaboration between compliance and data science teams
Ensure every AI dataset is traceable, auditable, and approved

Who Is This For?
Chief Data Officers (CDOs)
CISOs and Compliance Officers
Data Governance & Privacy Teams
Data Scientists and ML Engineers
AI Platform and Analytics Leaders
Enterprises deploying RAG and internal AI assistants

FAQ
What are Commvault Data Rooms?
Data Rooms are governed environments that allow organizations to curate, approve, and share compliant datasets for AI, analytics, and RAG use cases.

How does this help with AI compliance?
Risk Analysis automatically identifies sensitive data, ensuring only approved, low-risk content is used for AI training or knowledge assistants.

Can data scientists work without waiting for approvals?
Yes. Once data is approved and placed in a Data Room, data scientists can immediately access it without repeated manual reviews.

Is the process auditable?
Absolutely. Every action—from risk detection to export approval—is logged and traceable.

Does this support RAG pipelines?
Yes. The demo shows exporting curated data to a secure AI data lake for vectorization and indexing in RAG workflows.

Explore how Commvault Data Rooms help you build AI on trusted, compliant data: https://bit.ly/4qv8RJS

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