FINAL WORD
Elastic governance
To properly address the Great Generative AI tradeoff between responsiveness and responsibility , enterprises must begin and end with governance . CIOs must come to see data and AI governance not as manuals that are written once and rigidly followed thereafter . Policy must be elastic , subject to change as , for example , the CIO ’ s relationship with risk officers changes .
Culture , including the organisation ’ s approach to management , must also change to fulfil the goal of maximising gains from Generative AI while protecting the business , its people and its customers .
One way of plugging AI skills gaps in the GCC is to upskill from within . As low-code and no-code platforms have aided the rise of the citizen developer , challenges have emerged . Generative AI represents a democratisation of development . CIOs may need to reimagine their role in the organisation .
They are now much more than just infrastructure stewards . They are data custodians who must pay due attention to both security and the potential for innovation .
The CIO must now lead on data governance , which starts with establishing the ability to identify the location of data in real time . Technology leaders must comprehensively map and monitor each data source inside or outside the business .
Greatest challenge external customer interactions . If CIOs can get the inward-outward balance right , they can reap the rewards from their Generative AI investments and deliver new value for the business .
To accomplish rapid response while adequately managing risk , data governance will be critical , as will a coherent AI vision that accounts for the current tendency to overestimate Generative AI ’ s short-term impacts and underestimate its longer-term potential .
This is not a new mistake unique to Generative AI . It has become something of a tradition with emerging technologies . However , with Generative AI it becomes a potentially critical error . If we , say , rush to reinvent processes for the sake of efficiency , we may overlook vital issues of data integrity .
Given the potential risk of a data breach , CIOs seeking to maximise the value of Generative AI at speed and scale must never take their eyes off the importance of data security .
This issue may be the greatest challenge in corporate IT today . While visibility has never been more critical , it has also never been more difficult . Data moves to serve the needs of providers and their customers . And if tracking its current location is a challenge for the CIO , this presents a risk when it comes to protecting that data and maintaining its quality .
Verification and refinement are significant elements of responsible AI , so technology leaders must define and develop a forward-looking data strategy that is tightly
Adam Spearing , Head of AI Innovation EMEA , ServiceNow
The CIO must now lead on data governance , which starts with establishing the ability to identify the location of data in real time .
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