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TechRadar
John Atkinson

FORGOTTEN HISTORY: Mastering data overload by implementing aiops - Caught on Camera

An AI face in profile against a digital background.

Today’s businesses are drowning in data from IT systems, applications and digital platforms. It’s a situation that’s been accelerated by the post-pandemic pivot towards home working and the popularity of AI, which has seen the volume of global data rise from 2 zettabytes in 2010 to a forecasted 394 zettabytes by 2028.

Managing this flood is overwhelming for IT teams, whose current approaches to data management simply can’t keep up with the exponential growth in scale and complexity. Without a digital life raft, they’re at risk of an information overload that could obscure data analysis, delay decision-making and impede commercial growth.

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