Is Your Data Ready for AI Implementations? |
ThirdEye Data provides Data and AI Governance Services for all sized Enterprises at any state of your Data Journey. We offer end-to-end solutions that create powerful frameworks for data accessibility, compliance, risk mitigation, and operational dominance.
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ThirdEye Data is a trusted partner of Alation, leveraging its AI-powered data cataloging capabilities to improve data discovery and governance.
We help organizations enhance collaboration, ensure compliance, and enable data-driven decision-making with confidence.
With years of hands-on experience in Informatica, we specialize in setting up automated Master Data Management (MDM) solutions, data quality pipelines, and governance frameworks.
Our solutions enhance data integrity, security, and accessibility across enterprise ecosystems.
With hands on expertise with Collibra, ThirdEye Data helps organizations streamline data governance by implementing robust frameworks for data cataloging, lineage, and compliance.
Our expertise ensures seamless integration, empowering businesses with data democratization and regulatory alignment.
Our expertise with Atlan allows businesses to establish dynamic, agile data governance frameworks. From metadata management to automated lineage tracking, we enable organizations to harness their data assets securely and efficiently.
Though both terms are closely related to enterprise data, they differ in their areas of focus. Data management focuses on storage, organization, and accessibility, whereas data governance ensures compliance, quality, and security.
Absolutely. AI models require high-quality, unbiased, and compliant data to function responsibly and effectively. Most importantly, it is crucial to secure sensitive data from potential leaks, especially since many LLMs are open-source or rely on publicly accessible architectures.
Data governance is a framework of policies, standards, and practices ensuring secure, accurate, and ethical data use.
It is a structured approach to managing AI risks, ensuring fairness, compliance, and ethical AI deployments at enterprise scale.
Data governance manages enterprise data assets, while AI governance focuses on responsible AI model development and usage.
No, it also ensures data quality, compliance, usability, and ethical AI model development.
Leverage our years of experience in setting up data governance framework and a suitable platform.