If 2023 was the year of AI discovery and 2024 was that of AI experimentation, then 2025 will be the year that organisations seek to maximise AI-driven efficiencies and leverage AI for competitive advantage.
Despite the ambitions many leaders harbour, they face a series of challenges that must be overcome to realise the true value of AI investments. Primary among these is the need to ensure the data that will power their AI strategies is fit for purpose. In fact, a data framework is critical first step for AI success.
Shadow IT thrives on weak governance
The struggle many organisations face is reflected in the relatively slow uptake of meaningful AI projects in Australia, which sometimes is at odds with the wants of their workforces.
Many workers are not waiting for guidance and permission when it comes to adopting AI tools, leading to the emergence of shadow AI. In late 2023, a found only 17% of Australian firms had integrated AI or AI-enhanced tools within their operations.
Another impediment to AI adoption is the ongoing need to ensure that appropriate governance and protections are in place. This is to ensure any potential negative consequence is avoided.
This challenge has been recognised by the Australian Federal Government, with Industry and Science Minister Ed Husic announcing in September the creation of a set of voluntary AI guidelines, with consultation on whether these should be mandated in high-risk areas.
Data readiness and governance are critical for AI success
Getting these foundational aspects of AI governance in place will be critical to successful adoption, and for unlocking an opportunity that the report published in October 2024 by Quest, which found the top drivers of data governance were improving data quality (42%), security (40%), and analytics (40%).
The 2024 report also found that ensuring data readiness and quality for AI was the fourth most cited driver of data governance programs, as reported by 34% of respondents, with the focus on AI governance efforts and AI data readiness needs permeating the report’s findings.
Tearing down data silos to unlock value
With many AI strategies highly reliant on having access to large volumes of high-quality data, the need to resolve the issues cited above is driving interest in new solutions to data governance.
“AI thrives on clean, contextualised, and accessible data. Without it, businesses risk perpetuating the very inefficiencies they aim to eliminate,” adds Kulkarni.
One field that is gaining attention is data intelligence, which uses metadata to provide visibility and a deeper and broader understanding of data quality, context, usage, and impact. This is essential for enabling organisations to discover, trust, manage, and leverage high-value data for better decisions and outcomes and to better protect against risk.
The report further saw activity around metadata harvesting, classification, and curation experiencing a 94% surge in response between 2023 and 2024 as organisations prepared for future AI initiatives.
De-risk AI adoption by unlocking the power of your data in 2025
Actions such as those described above can play a key role in not only improving data quality and the breaking down of silos but also in democratising access to data by making it more useful and accessible to AI-driven use cases across the organisation.
This in turn stimulates a more agile and adaptable approach to AI which can accelerate its uptake and the returns that the organisation can expect.
For any organisation keen to take a leadership position on AI adoption—or that simply wants to avoid rapidly falling behind those that do—making the necessary investments in data governance may provide a many-fold return as the benefits of AI itself scale over time.
According to Kulkarni: “Businesses that resolve their data complexities now will gain the agility to respond faster to market changes, ensuring competitive advantage in 2025 and beyond.”
For the latest insights on current data intelligence initiatives and planned investments by some of the largest organisations in the world, visit The 2024 State of Data Intelligence report.
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