Confronting the data reality: Why AI success requires stronger information foundations
While Australian organisations lead the charge in AI adoption, a critical maturity gap remains due to fragmented data and inconsistent governance. Garry Valenzisi, Vice President & General Manager ANZ at Iron Mountain, explores why building a trusted operational foundation is the ultimate key to scaling AI successfully.

As businesses rapidly integrate artificial intelligence, many are hitting a stark roadblock: the data reality. The initial rush to adopt AI has exposed a gap between experimentation and enterprise maturity, driven largely by disconnected legacy systems and inconsistent governance.
In a recent featured commentary for IT Brief Australia, Iron Mountain's VP & GM of Australia and New Zealand, Garry Valenzisi, addresses why organisations must focus on the information foundations feeding these models. He discusses how long-term value won't come from powerful AI models alone, but from connecting, governing, and protecting data across physical and digital environments. Because AI outputs are only as reliable as the data consumed, a trusted operational foundation is essential to translate ambition into measurable success.