Two Is Better Than One: How To Combine AI and Automation to Create a Powerful Quality Engineering Process
Over the past decade, the rapid pace of innovation has created a seemingly ever-evolving digital landscape. Due to this changing technological space, organizations are eager to implement tools and adopt platforms and applications that allow them to operate more efficiently and serve customers more effectively. For instance, AI has become increasingly popular as a way to optimize and enhance processes, better differentiate and compete in the marketplace, engage with customers, build new business models, and more. While AI is an excellent tool to bolster almost any operation, combining it with automation can create even more efficient processes. This super-tool is called AI-assisted automation.Â
For Quality Engineering, in particular, three forms of AI have already proved to be very useful when layered with automation: Â visual AI, self-healing AI, and risk AI. When these types of AI are combined with automation, Quality Engineering can be enhanced, and companies can become more efficient.Â