EDITOR ’ S QUESTION
CARL D ’ HALLUIN , CTO , DATADOBI
In 2024 , the CIO sector can expect that their organization will need to emphasize deep data understanding and agile data handling in order to leverage the full potential of Artificial Intelligence ( AI ). large datasets efficiently for AI analysis and model improvement will rise . This need will transform data mobility into a key component of AI integration , focusing not just on data volume but on its strategic use .
As the integration of AI becomes more deeply engrained into business processes , the demand for nuanced data insights and the ability to identify and move
As flash storage costs decline , there will be a shift toward all-flash object storage systems , improving performance due to their speed and scalability .
This transition will better serve the intensive data needs of AI , allowing for faster throughput and accommodating growing datasets .
The CIO sector can also expect that the neverending growth of data will necessitate robust data management solutions .
Data management is expected to evolve towards API-centric architectures for meshed applications , enabling seamless interconnectivity between
Risk management will take center stage in 2024 as more and more companies focus on governance , risk and compliance ( GRC ) practices .
different IT systems . The push for API-first strategies will foster a more integrated and automated IT environment , with a surge in self-service applications and automated workflows .
Last but certainly not least , the CIO sector can expect that risk management will take center stage in 2024 as more and more companies focus on governance , risk and compliance ( GRC ) practices .
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