Key suggestions
Build a Strong Data Governance Framework
Develop a comprehensive data governance framework that addresses quality, security, and compliance concerns across cloud and AI initiatives.
Hybrid Approach for AI Model Evaluation
Implement a hybrid approach to data evaluation for AI models, combining automated processes with human oversight to ensure accuracy and reliability.
Target High-Impact AI for Maximum Value
Focus AI implementations on high-impact areas such as data quality checks, regulatory compliance, and operational efficiency to demonstrate value and gain organisational buy-in.
