TRENDING
AUSTRALIAN DATA MANAGEMENT CONCERNS SOAR AS AI SURGES
Hitachi Vantara survey finds 41 % of IT leaders identifying data quality as major barrier to AI success .
With the rapid adoption of AI across industries , 41 % of Australian companies identify data as their top concern when implementing AI projects , but few IT leaders are taking steps to ensure proper data quality and management , jeopardising the success of AI initiatives .
That ’ s according to a new global survey from Hitachi Vantara , the data storage , infrastructure and hybrid cloud management subsidiary of Hitachi Ltd , which also found that 51 % Australian IT leaders see AI as a must have in their organisation compared to 35 % globally .
In addition , more than one-third ( 36 ) of Australian CEOs see AI as ‘ a revolution ’ compared to 30 % globally .
The Hitachi Vantara State of Data Infrastructure Survey reinforces the critical role that data infrastructure and data management can play in terms of overall data quality and the ability to drive positive AI outcomes .
However , just 28 % of Australian companies think AI is applicable to finding new business opportunities .
“ Good project management and governance ” was the most common reason provided for why AI projects were successful in Australia , with 47 of Australian respondents in agreement . At the same time , 35 % of respondents cite the use of high-quality data as critical for AI project success .
The survey also found that AI has led to a dramatic increase in the amount of data storage that businesses require – with the amount of data expected to increase 137 % by 2026 .
As a result , storing , managing and tagging data to ensure quality for use in AI models is getting harder .
The company commissioned the global survey of 1,200 C-level executives and IT decision-makers across
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