With acute attention currently being paid to AI-powered solutions, possessing large volumes of data once again comes as a key requirement to train AI models, with a promise of transformative potential through informed decision-making, enhanced resource efficiency and competitive advantage for those who have it, and can leverage it effectively. Current strategies involve implementing data governance frameworks, improving data quality, and increasing data processing capacity.

Data volumes will continue to grow exponentially. We need a re-think whether more is really better, and what can be done cost-effectively to power-start responsible growth.