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Top-performing organisations with mature AI capabilities on average attribute about 5% of their earnings to AI³. Those organisations also see significant cost savings through AI especially in relation to operations optimisation and contact centre automation use cases.
However, a necessary precursor for the successful deployment of AI at scale is for organisations to have solid data foundations. The results of the EY Ireland Tech Horizon 2022 survey suggest that Irish businesses have some way to go in their maturity levels in relation to data, which may be holding them back in realising the full potential of the data they have. The study found that only 14% of Irish organisations say they are data centric, which may suggest that many organisations are grappling with the mammoth task of breaking their data silos and distilling it into a single source of truth.
A key finding from our research was that Irish organisations are also underinvesting in data and analytics compared to their global peers, with 38% of Irish respondents saying data and analytics are most likely to account for the largest share of technology investment over the next two years. This compares unfavourably with the 53% of global organisations who said so.
While these findings should rightly be the cause for some concern, it is important to cut through some of the misunderstandings that surround AI and its supporting technologies.
Demystifying AI
The hype around AI over the last number of years sometimes creates a sense of scepticism. There is, therefore, a need to demystify it.
As organisations define enterprise-wide strategies to harness the power of AI solutions, it is important to understand the types of AI and their business use case.