Although Intelligent Automation (IA) and Robotic Process Automation (RPA) have applications in almost every industry, many technological challenges that businesses face, from making the business case to automate.
For example, human error during an automated financial reporting process can result in losing-man weeks and a delay in the reporting of the group’s finances.
Other security issues that need to be considered include rogue access; data loss; hacking; privilege abuse; vulnerabilities and malware, which all show the centrality of security to IA implementations.
Those looking to implement IA should heed security protocols like encrypting data and multiple layers of authentication, along with reducing access rights and requiring human validation on certain processes.
When we think of the benefits of automation, we typically consider things such as time-saving, headcount reduction, and reducing processing times.
The process improvement opportunity introducing automation within an organization is to understand the business need and potential added value processes can deliver.
While advanced AI technology does require a deep understanding of programming languages, most enterprises will opt to leverage business applications developed on top of tools that were built by Google, Amazon & others.
By using these existing tools, the business value lies in configuring customer-centric components tailored for specific needs and less in the application of data science.
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