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.
Video has become a dominant method to engage employees and customers through a wide range of use cases. Firms and users alike recognize the immense value in video’s ability to sustain and create a healthy corporate culture. While users push companies for easy access to more tools, smart firms have realized the benefits of a video connected business and take steps to expand their offerings.
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.
