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Key vendors in Gartner's data and analytics governance report

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Navigating data management for compliant AI in a changing world

As AI adoption accelerates, responsible governance and compliance become crucial. This white paper explores AI legislation, including the EU AI Act, U.S. Executive Order, and Singapore's framework.

Organizations face challenges in AI governance, such as data integration, quality, bias mitigation, and privacy protection. The paper outlines principles of responsible AI—transparency, fairness, accountability, and security—and shows how Informatica's Intelligent Data Management Cloud can help:

• Streamline governance and compliance
• Empower users with AI tools
• Enhance data quality and reduce costs
• Automate workflows for efficiency

Read this white paper to learn about responsible AI governance.

These are also closely related to: "Key vendors in Gartner's data and analytics governance report"

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    Artificial intelligence is transforming business operations, but using AI responsibly requires effective data management and governance. This guide explores responsible AI principles—fairness, transparency, privacy, and accountability—addressing business and technical challenges in AI implementation.

    It examines regulations like the EU AI Act and U.S. Executive Order on AI, emphasizing data governance for compliance. It provides guidance on data integration, governance frameworks, and building trust through ethical AI.

    Read this white paper to learn how Informatica's Intelligent Data Management Cloud can help de-risk AI initiatives and ensure responsible implementation.

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    • Quantifying GenAI's ROI is critical as executives demand results. Businesses need new frameworks to evaluate its impact on productivity and cost savings.

    • The rise of large language models (LLMs) and AI agents requires governance strategies.

    • Governance frameworks are essential to mitigate data privacy risks.

    • Employees must acquire AI skills or face fewer opportunities. Organizations must upskill staff.

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 * Digital technologies
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