Millennials and Banks: Surmounting the digital divide
There is a rumor going on about a Fourth Industrial Revolution.
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There is a rumor going on about a Fourth Industrial Revolution.
Over the last decade, Robotic Process Automation (RPA) has been evolving silently and is now utilized for enterprise-scale deployments. RPA has revolutionized the way large organizations operate over the last few years, helping organizations administer their IT support processes, remote infrastructure management, workflow processes, and business processes.
Businesses are looking for ways to improve their processes and create smoother, streamlined and more successful operations. Instead of wasting energy on tedious tasks or frustrating processes, you want to spend it on higher-level decision-making, operations and strategic direction.
An important component of performance measurement is represented by the data collection capability. However, when applied in the organizational context, this process is neither easy, nor lacking obstacles, as practitioners often discover.
Data science encompasses numerous technologies, including big data analytics and artificial intelligence (AI). Entire sectors and individual companies can depend on it for a variety of reasons.