Knowledge automation (KA) technologies combine machine learning with content and analytics, forming the ability to identify knowledge gaps and then correct them with curated content, or a knowledge campaign.
The combination of machine learning with constant measurement of what people are doing in the context of a particular task or job, allows knowledge automation systems to constantly deliver the right information at the right time. We would note that there is a link between KA applications and the rise of digital assistants.
Workplace technologies have undergone tremendous convergence as they have become cloud and mobile-enabled. The push toward platforms has also allowed new categories of applications to emerge, via open APIs, to support specific business processes.
Aragon's analyst team identifies the top ten technology predictions for 2019 that enterprises should consider for a competitive advantage.