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How to make smarter data-driven decisions at scale : [link]. The determination of winners and losers in the dataanalytics space is a much more dynamic proposition than it ever has been. A lot has changed in those five years, and so has the data landscape. trillion by 2030. trillion by 2030.”.
The main themes emerging from our conversations cover data integration, security and humility, strategy, and workforce development: Join siloed data together to create longitudinal, ready-to-analyze datasets. Secure data sharing and AI humility is a necessity.
Artificial intelligence (AI)-enabled systems are driving a new era of business transformation, revolutionizing industries through prescriptiveanalytics, personalized customer experiences and process automation. Subtle input data manipulations can cause AI systems to make incorrect decisions, jeopardizing their reliability.
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