AI Runs Into The Document And People Barrier: Digitization And Digitalization

Artificial intelligence has been put to amazing use providing great abilities for recognition, pattern and anomaly detection, predictive analytics, autonomous systems, hyperpersonalization, and goal-driven systems. However, AI systems can't do anything at all without access to data to train the machine learning models. And much of that data is locked in documents in paper or electronic form or in human-controlled processes. Often, a necessary first step to making any AI project happen is simply getting those documents and processes out of paper and human-based forms and into digital forms that a machine can understand. The notion of converting these analog assets into digital forms is known as digitization in the context of documents and information, and digitalization, in the context of processes and human-based activities.