Key suggestions
Comprehensive data framework
Develop a comprehensive data governance framework that addresses quality, security, and compliance concerns across cloud and AI initiatives.
Continue to focus on data
Implement a hybrid approach to data evaluation for AI models, combining automated processes with human oversight to ensure accuracy and reliability.
Targeted AI adoption
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.
Data-focused teams
Establish cross-functional teams to align data and analytics initiatives with strategic business objectives, ensuring that technical capabilities directly support organisational goals.
Honing your skills
Create a talent development strategy that includes upskilling existing staff, partnering with educational institutions, and fostering a data-driven culture throughout the organisation.
