AI Data Governance
Ensure the responsible use of data in artificial intelligence solutions
In an environment where artificial intelligence drives critical decisions, it is essential to ensure that the data used in the development and operation of models is reliable, traceable, and compliant with regulations. Our AI Data Governance service offers comprehensive support in defining, implementing, and monitoring data governance practices for AI, helping organizations minimize risks and maximize the ethical and strategic value of their AI initiatives.
Industries
Why AI Data Governance?
Organizations face unique challenges when incorporating AI into their processes: data bias, lack of traceability, and legal or reputational risks are just a few. Our value proposition is based on establishing robust governance that allows us to:
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Protect the rights of data subjects
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Ensure the quality and transparency of the models
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Facilitate audits and regulatory compliance
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Reduce ethical and regulatory risks associated with the use of AI
Our approach
We approach data governance for AI strategically, technically, and ethically, applying a framework adapted to the reality of each organization.
1. Identification and classification of datasets
We inventory and categorize the datasets used in model training, validation, and production to ensure their correct handling according to their nature (sensitive, confidential, public, etc.).
2. Establishing Ethical Policies and Guidelines
We design organizational principles and standards to guide the responsible and transparent use of AI, aligned with institutional values.
3. Data Quality Management for Model Training
We define processes to ensure that data is adequate, representative, and free from bias, reducing legal and performance risks.
4. Data Traceability and Lineage in AI Pipelines
We document the flow and transformations of data in AI pipelines, facilitating audits, explainability, and model maintenance.
5. Model Governance and Documentation
We establish versioning, validation, and monitoring processes for models to guarantee their traceability and compliance with business and regulatory requirements.
6. Management of Regulatory Compliance and Associated Risks
We identify legal, regulatory, and reputational risks, and design control mechanisms in accordance with local and international data protection frameworks.
Client Stories
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Explain what makes the business unique. Identify the qualities that set it apart from its competitors and describe them, staying true to the brand's authentic voice. Add engaging details to catch readers' interest and hold their attention.
Client: Name
Explain what makes the business unique. Identify the qualities that set it apart from its competitors and describe them, staying true to the brand's authentic voice. Add engaging details to catch readers' interest and hold their attention.
Year: 2023
Explain what makes the business unique. Identify the qualities that set it apart from its competitors and describe them, staying true to the brand's authentic voice. Add engaging details to catch readers' interest and hold their attention.
Industry: Finance
Explain what makes the business unique. Identify the qualities that set it apart from its competitors and describe them, staying true to the brand's authentic voice. Add engaging details to catch readers' interest and hold their attention.
Client: Name
Explain what makes the business unique. Identify the qualities that set it apart from its competitors and describe them, staying true to the brand's authentic voice. Add engaging details to catch readers' interest and hold their attention.
Year: 2023
Explain what makes the business unique. Identify the qualities that set it apart from its competitors and describe them, staying true to the brand's authentic voice. Add engaging details to catch readers' interest and hold their attention.
Industry: Finance
Explain what makes the business unique. Identify the qualities that set it apart from its competitors and describe them, staying true to the brand's authentic voice. Add engaging details to catch readers' interest and hold their attention.
Client: Name
Explain what makes the business unique. Identify the qualities that set it apart from its competitors and describe them, staying true to the brand's authentic voice. Add engaging details to catch readers' interest and hold their attention.
Year: 2023
Explain what makes the business unique. Identify the qualities that set it apart from its competitors and describe them, staying true to the brand's authentic voice. Add engaging details to catch readers' interest and hold their attention.
Industry: Finance
Use Cases
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Development of AI models in regulated sectors (finance, health, government)
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Implementation of responsible AI frameworks
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Auditing and explainability of models in production
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Integrating AI into sensitive decision-making processes
Guiding leaders towards successful AI implementation
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Trusted data is the intersection of data governance and AI governance: the outcome of one and the foundation of the other. The FSFP Modern Data and AI Enablement Framework enables organizations to leverage their existing data governance capabilities to drive success in AI adoption.
Do you want to talk about AI governance in your organization?
We'd love to learn about your goals and challenges, and help you leverage opportunities to extract maximum value from your data journey. Leave us your information and a consultant will get in touch.
