Data & AI Governance | Umaniq

Data & AI
Governance

Adequate data and AI governance is essential for any organisation seeking to maximise the value of its AI projects. Our experts help organisations establish robust governance frameworks that safeguard data integrity, ensure responsible AI usage, and offer a hassle-free path towards compliance with relevant regulations.

Data & AI
Governance

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Testimonial

The course i attended gave me a great  insight about data & ai. 
I would suggest it to everybody new and experienced people.

koen

Jane Doe

UX Designer

Why Data & AI Governance is Important

Topics we talk about

Our Approach

Step 1: Establishing a robust AI governance framework

requires a holistic approach. We implement technical measures to ensure AI accuracy and safety, write policies that outline roles and responsibilities, streamline AI-related processes such as quality assurance and risk assessments, and build organisational capabilities that help you make the most of your data and AI assets.  

Step 2: Managing compliance

Using or developing AI brings a wide range of compliance obligations that can seem overwhelming. We unburden our clients by managing the compliance process from start to finish, including everything necessary to get through audits. 

Step 3: Ensuring data security

There is no AI without data, and data must be secured. We have decades of data protection and privacy expertise to help you implement robust security and data protection measures and align your data privacy practices with regulatory requirements and customer expectations.

Step 4: Training and awareness

AI requires buy-in from stakeholders across your organisation. That’s why we focus on AI literacy training, ethics and compliance workshops, and awareness campaigns to maximise your AI projects. And don’t forget that the EU’s AI regulation requires companies to use or develop AI to provide their employees with sufficient AI literacy before February 2025!

Why Umaniq

Benefits of our Data & AI Governance

  1. Enhanced data quality
    Improved data accuracy, consistency, and reliability.
  2. Risk reduction
    Proactive identification and mitigation of data and AI-related risks.
  3. Operational efficiency
    Streamlined processes and increased automation through AI.
  4. Informed decision-making
    Access to real-time insights for strategic planning and operational improvements.
  5. Informed decision-making
    Access to real-time insights for strategic planning and operational improvements.
  6. Regulatory compliance
    Assurance of compliance with data protection and AI regulations.
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Get Started

Strengthen your organisation’s Data and AI Governance with our expert services. Contact us today to schedule a consultation and learn how we can help you establish a robust governance framework.   

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Jane Doe

UX designer