As HR departments are working to bring teams back to the workplace in the wake of the still ongoing pandemic, they face several challenges. To manage a safe and sustainable return to on-site work, the right tooling and planning are critical.
These are challenging times. Now, more than ever, businesses are looking for ways to streamline and optimize their operations. And on the quest for higher productivity and a better customer experience, a growing number of companies are realizing the potential that lies in combining Artificial Intelligence (AI) and Robotic Process Automation (RPA).
Robotic process automation (RPA) uses intelligent software “robots” to automate many tedious, manual business processes. By making your human employees available for more valuable, higher-level activities, RPA can deliver a return on investment between 30 and 200 percent in the first year alone.
However, one significant challenge to RPA adoption is the use of unstructured data, which by many estimates makes up 80 to 90 percent of information in an organization. Unstructured data is information that isn’t organized according to a clear, structured model.
As we're moving further into the era of Artificial Intelligence (AI) and Machine Learning, one of the most prominent tech trends is Robotic Process Automation (RPA). RPA and process automation technologies are bringing numerous benefits to a wide variety of industries. Today, an increasing number of financial institutions, banks, and insurance companies are transforming their operations by using intelligent automation and RPA to handle repetitive processes and administrative tasks.
As one of the oldest industries—and one of the most resistant to technological change—banking and finance is overdue for a digital disruption. In this article, we’ll explore the rise of so-called “digital banking.”