Data governance: strategies to facilitate operators’ AI adoption

New data regulations and poor data quality and environments threaten to restrict the efficacy of AI tools. Operators must prioritise data governance to make the most of these tools.

This report provides:

• an outline of the data challenges operators face when onboarding AI tools and platforms
• an overview of the data-governance tools operators should have to maximise AI efficiency
• an overview of the AI and data regulations operators may face
• a breakdown of the different data architectures operators may adopt, and the data governance strategies that must accompany them.