The last five years have seen intense focus on the potential financial value of data and a variety of analytics, AI and automation deployed to mine the gold. Understanding and then accessing this value is challenging – datasets need to be clean and available, processes need to be “unbroken”, algorithms need to be fit for purpose and the organization needs to be ready to support and use new capabilities.
Finding the Real Value of Analytics, AI and Automation
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