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. “There can be a gap between the unstructured amoeba of data and then what you want in AI, which is sorted, ready to go,” he acknowledged. However, IBM is actively working to bridge this gap, with IBM Concert set to evolve and incorporate tools to organise data into a format more digestible for AIengines.
With augmented analytics (and embedded insights), anyone can become a citizen data scientist, regardless of their advanced analytics expertise. BigData and the Blue Economy Since the concept of the blue economy relies on managing and developing something so broad, utilizing bigdata may be necessary.
InsightsAct’s AIengine works continuously in the background to surface relevant insights. Our AI technologies meticulously sift through BigData, capturing valuable nuggets often overlooked by traditional dashboards and reports. Automated Discovery No more waiting around for manual analysis.
BigData and Deep Learning (2010s-2020s): The availability of massive amounts of data and increased computational power led to the rise of BigData analytics. Robotics also witnessed advancements, with AI-powered robots becoming more capable in navigation, manipulation, and interaction with the physical world.
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