Artificial intelligence is finding its way into many applications, and enterprise resource planning solutions are next on the list. The ERP sits at the heart of your organization. It influences how your employees perform their daily tasks, provides functionality for everything from accounting to HR and automates many processes in the background. Three AI technologies in particular are poised to have a significant impact on future ERP systems: cognitive automation, intelligent automation and computer vision.
Cognitive automation technology focuses on knowledge-based job duties, such as answering customer support requests. An ERP equipped with this powerful solution can emulate a human employee's thought process to make decisions.
Building on the customer support example, the cognitive automation powers a routine that looks for the best answer for the person's problem. Once they identify this information, they can walk the customer step by step through the procedure. Your human employees regain the time they previously spent on run-of-the-mill requests. These robot process automation tools can create significant efficiency and productivity with your ERP software.
Intelligent automation technology goes one step further than cognitive automation. It's not limited to routine and predictable tasks. IA is capable of handling edge cases and unexpected situations due to the AI developments it relies on. Natural language processing is one of the most popular implementations of this technology. You don't need to structure your requests and queries with this type of automation. Instead, you talk to it as though it were another person.
The cost and complexity of IA prevent it from gaining the same traction as other forms of AI. Deloitte reports that many applications of this technology are built around an incredibly specific use case. While IA can adapt to a wide range of scenarios within its use case, it does not have widespread functionality compared to RPA.
A lot of AI technology focuses on text-based input and back-end processes. Computer vision wants to apply machine learning and other functionality to images and videos. Pattern recognition, image sorting, visual analysis and many other ways of working with this type of data offers significant potential for ERP systems. You can track trends via graphs and charts and automatically tag employees in company photos and automatic video alerts. The deep learning required for this area has not reached maturity yet, but the future applications are exciting for organizations.
AI of all three types is getting their start in a wide range of applications. Developers want to test what they can achieve with AI, while businesses want to know how they benefit if they go through the deployment process. The next few years are going to see exceptional growth with this technology sector, particularly as organizations figure out how to optimize the operational cost reductions inherent with automation.
Are you thinking of ways that you can incorporate these three AI technologies into your company's ERP system? Business process automation is already a key part of most of these systems, and AI takes it one step further. Imagine your operation when employees get to focus entirely on the reason you hired them for rather than the administrative overhead and busy work that often comes with these positions. You may need to wait a few years to really push the limits of AI, but you'll be ready.
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