Intelligence Built on Integrity

Trusted Data for GENAI

Architect a unified data layer specifically designed to fuel Enterprise Generative AI. Deploy governed RAG pipelines, secure AI workloads, and high-fidelity insights with absolute confidence and control.

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What Is Trusted Data For GenAI?

Trusted Data For GenAI is a comprehensive data foundation that allows organizations to ground their Large Language Models in verified, governed enterprise data. In many environments, AI initiatives fail because they are built on fragmented or low-quality data.

Trusted Data For GenAI addresses these gaps by:

  • Creating an AI-Ready Data Foundation to power advanced RAG pipelines.
  • Implementing Data Governance for GenAI to ensure privacy and auditability.
  • Leveraging Informatica MDM for AI to unify customer and product identities.
  • Ensuring AI Data Quality to eliminate hallucinations and biased outputs.

Trusted Data For GenAI delivers a shared, governed, and scalable foundation where intelligence meets integrity.

Data Management & AI-Ready Foundations

01

Informatica MDM Excellence

Manages the complete Informatica MDM suite, including Customer 360, Product 360, and Multi-domain MDM to unify core business entities.

02

Identity Resolution & Golden Records

Resolves fragmented identities across disparate systems to create a single, authoritative Golden Record as the definitive source of truth.

03

Advanced Data Quality & Cleansing

Implements rigorous cleansing and survivorship rules, ensuring only high-fidelity, validated data feeds your AI models.

04

Data 360 Governance & Trust

Provides metadata management, end-to-end lineage, and trust certification required for transparent and auditable AI outputs.

05

AI-Ready Datasets & Compliance

Delivers curated datasets for RAG and AI pipelines, incorporating data cataloging and strict policy enforcement.

Unified and Verifiable

Intelligence Built on Integrity

Every advanced AI initiative - from autonomous agents to predictive analytics - is only as strong as the data that feeds it. We help you transform fragmented data into a secure GenAI data platform, ensuring your intelligence is always accurate, governed, and ready to scale.

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The Challenge: Why Most GenAI Initiatives Fail

Poor Data Quality

Low-fidelity data feeding and confusing AI models.

Security & Compliance Risks

Exposed PII or regulated data within AI prompts.

Fragmented Identity

Disconnected customer and operational records leading to incorrect insights.

The Black Box Problem

A lack of explainability and lineage for AI-generated decisions.

Got Questions? We Have Answers.

What is the core objective of Trusted Data For GenAI?
The primary goal is to provide a unified intelligence layer that grounds Enterprise Generative AI in accurate, governed, and unified enterprise data. By resolving fragmented identities and ensuring AI Data Quality, it eliminates the common risks of hallucinations and disconnected AI outputs.
How does this framework support RAG?
Trusted Data For GenAI creates the essential AI-Ready Data Foundation required for RAG pipelines. It ensures that the datasets feeding your vector databases and LLM orchestration are high-fidelity, validated, and context-aware.
Why is Informatica MDM critical for GenAI success?
Informatica MDM for AI acts as the trusted core by creating a single Golden Record through identity resolution and relationship modeling. This ensures your AI models learn from a consistent, authoritative source of truth.
How is security and compliance managed?
We implement Data Governance for GenAI using Informatica Data 360 to enforce strict policies, detect PII, and provide end-to-end lineage. This ensures all AI-driven decisions are traceable, transparent, and compliant.
How does this reduce the risk of AI hallucinations?
Hallucinations are often driven by inconsistent or poor-quality data. Trusted Data For GenAI addresses this by applying rigorous cleansing and survivorship rules, ensuring AI outputs are grounded in verified enterprise facts.

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