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Rethinking the Questions You Should Be Asking About RPA
Although industrial robots have been in operation for the better part of a century, we’re still in the early years of robotic process automation (RPA). The difference is in the application of AI in redesigning how work is done, not just putting robots in the place of human counterparts.

Strategies to Successfully Deploy Intelligent Automation
Whether you're interested in the productivity improvements or the lower costs, you've already made the decision to implement robotic process automation (RPA) within your organisation. The good news is that by streamlining and automating your processes, RPA can unlock a significant amount of hidden insights and potential.

Selecting the Right Process for Robotic Process Automation
The bad news: 74 percent of businesses report that they spend more than one-fourth of their employees’ time on repetitive manual tasks.
The good news: RPA can help. One of the most effective tools for a company’s digital transformation, robotic process automation (RPA) uses “robotic” software agents to automate a variety of tedious, time-consuming business functions.

Decision Management using Appian
Data is one of the most precious resources nowadays. Processes and decisions turning data into value are defining the success of an enterprise. The importance of business process management is widely recognised, whereas decisions are rather seen as part of a process and not as a concern on their own. Hence, they are often buried in applications, code, processes or even in the heads of people, although they are driving performance and are subject to regulatory requirements. This results in unmaintainable and inconsistent decisions imposing unknown risks to enterprises. As a cure for unmanageable decisions the discipline of decision management emerged promising transparency, productivity, accuracy, agility, and consistency of decisions.