DATA ANALYTICS days ,” says Spooner . That process is already underway , with the ongoing COVID-19 pandemic accelerating existing trends . “ Geo-location or mobility data has been instrumental in managing the disruption of COVID-19 , and this trend will continue : augmenting analytics with a wider variety of data like images , text or location , will continue to be a key enabler in the years to come ,” says Balleyguier .
Perhaps the most important development will be the increased integration of artificial intelligence into analysis . “ Moreover , better and faster access to more digital data is encouraging a wider use of AI solutions , heavily consuming this data ,” says Balleyguier . “ This will enable companies to move away from decisions mainly based on dashboards and business intuition to more informed decisions augmented with AI . In the next few years , we will see companies move from AI experimentation to AI industrialisation , by adopting more repeatable and automated operational processes for AI creation , deployment and management .”
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