In this era of cognitive computing, machine learning and artificial intelligence (AI) are making headlines, mimicking the workings of a human mind to solve complex problems in every field, from medicine to manufacturing. Alongside these technologies, robotic process automation (RPA) is leaving a mark across industries.
It is unsurprisingly that enterprises generally deploy RPA to tackle high volume, rule-based, mundane, labor-intensive activities across lines of business. However, similar processes with lower degrees of standardization will stand to benefit only partially from RPA.
As for RPA’s future as an intelligent automation solution, it hinges solely on an enterprise’s overarching technology landscape. The availability of advanced computing infrastructure, robust algorithms, and advanced data storage facilities has converged to create a platform rife with potential for integrating higher forms of automation. Innovations in self-learning and self-healing solutions, natural language processing (NLP) solutions, and knowledge-driven automation can further augment business operations, while amplifying human capabilities.
From genetic testing to robotic surgery, or to identifying benign or malignant skin cancer, AIs and robots are making a huge impact on the healthcare industry. Questions however remain as to the ethics of machines making life and death decisions on behalf of humans.