Enterprises are continuously searching for solutions that allow them to increase their workforce productivity, reduce manual labor and enable automation for their business processes. With digital content increasingly becoming a huge asset in organizations, the need for reducing human involvement from different workflows of content management is highly demanded. This is a field where visual text recognition – more commonly known as Optical Character Recognition (OCR) – plays a major role in automating the adoption of digital assets for enterprises.
Artificial Intelligence (AI) is reshaping how businesses are using video. By leveraging machine learning and tapping into unstructured data inside video content, organizations can mine valuable insights and unearth significant optimization opportunities. Companies working on AI now rely less on bottom-up data and more on top-down data reasoning that bears a close resemblance to the way humans approach problems and tasks.
With enterprises increasingly using content producing systems such as video conferencing tools, digital assets management and other content management systems, the enterprise application hosting your videos and other media assets is expected to provide easier content processing, metadata tagging, and search capabilities. This leads to the impending need of a technology that powers your enterprise’s data with smart vision, speech recognition and intelligent search, allowing you to implement a solution that is not cost or resource intensive, rather ensures enhanced content consumerization, workforce productivity and automation efficiency.