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Over the span of a generation, treasury organizations in many large companies have migrated from a reliance on spreadsheets toward the use of treasury management systems. These solutions provide measurable increases in cash visibility, productivity, and risk controls. Now new technologies like data analytics, robotic process automation (RPA), and machine learning are rapidly building on these capabilities, fundamentally transforming the day-to-day activities of leading corporate treasury functions.

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