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What Is Hyperautomation?

O'Reilly

Over the past decade, one problem with data science and its successors has been the assumption that all you need is data, and lots of it; analyzing that data will lead you to new products, new processes, new strategies: just follow the data and let it transform your business. You always know your cash flow; you always know your credit line.

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