Intelligent CIO Europe Issue 65 | Page 78

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To be able to turn data into insights rapidly , organisations must evolve their expectations and data processing capabilities .
organisations to commit to the new investments that these powerful systems require . Businesses will need powerful scale-out file storage solutions that are easy to scale and use , no matter how much unstructured data your environment must manage .
2 . Emerging technologies are sparking a new era of intelligence at scale
Edge Computing , 5G , Artificial Intelligence ( AI ) and Machine Learning ( ML ) transform how data is collected , processed and used . For the first time in history , we ’ re meeting the explosion of data with intelligent infrastructure , software and algorithms to turn it into actionable information rapidly . We can use this data to create new value and drive better user experiences at the edge . There ’ s a symbiotic relationship between the advanced , connected technologies being deployed in the digital economy and the wealth of new data waiting to be uncovered . Likewise , there ’ s a symbiosis between success with Edge technologies and data management .
By enabling organisations to act on data near the source , Edge technology can both improve efficiency and help create new experiences . Coupled with AI , the Edge will change how machines share and react to data – and this is where businesses will find the opportunities to create new value .
3 . Decentralised data
The adoption of emerging technologies leads to more distributed locations where data originates . As data ’ s centre of gravity moves towards the Edge , data is increasingly being stored , processed and acted on closer to its source . But as more functions occur at the Edge , you must manage data differently and consistently – from the core to across Edge and hybrid clouds . That requires changes to your compute , network , storage and application architectures , as well as a keen eye on security .
4 . Rising consumer expectations
Today ’ s consumers are more empowered than ever , demanding more data-rich , personalised , real-time
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