Authors: DA Admin
Document Capture has been around for decades. The ability to liberate documents from their physical form into the digital realm has yielded benefits in productivity and security while helping to reduce costs. Recently, advances in Artificial Intelligence (AI) and Machine Learning (ML) combined with relatively mature OCR technology made it possible to not only liberate the document but the embedded business information required to drive business operations.
The entry of heavyweight cloud services players such as Google, Microsoft, and Amazon, providing a variety of AI/ML and OCR-based services, has re-invigorated the market. The widespread availability of these commoditized services is resulting in a renewed interest in not only capturing documents but understanding and acting on the business information that resides within them.
The simultaneous rise of Robotic Process Automation (RPA) and its unquenchable appetite for structured business information has further heightened the interest in exploiting this newer Cognitive Information Capture’s ability to satisfy this demand.
In this report, we highlight the impact of these new technologies on the evolution of the document capture market. We examine how the entry of big and small players, the exploitation of new AI/ML technologies, and the emergence of new lucrative use cases are disrupting and bringing new life to what was a very mature market sector.